Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot
Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine aut...
Ausführliche Beschreibung
Autor*in: |
Magali Humbert [verfasserIn] María Morán [verfasserIn] Patricia de la Cruz-Ojeda [verfasserIn] Jordi Muntané [verfasserIn] Tabea Wiedmer [verfasserIn] Nadezda Apostolova [verfasserIn] Sharon L. McKenna [verfasserIn] Guillermo Velasco [verfasserIn] Walter Balduini [verfasserIn] Leopold Eckhart [verfasserIn] Bassam Janji [verfasserIn] Belém Sampaio-Marques [verfasserIn] Paula Ludovico [verfasserIn] Eva Žerovnik [verfasserIn] Rupert Langer [verfasserIn] Aurel Perren [verfasserIn] Nikolai Engedal [verfasserIn] Mario P. Tschan [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Biology - MDPI AG, 2012, 9(2020), 3, p 59 |
---|---|
Übergeordnetes Werk: |
volume:9 ; year:2020 ; number:3, p 59 |
Links: |
---|
DOI / URN: |
10.3390/biology9030059 |
---|
Katalog-ID: |
DOAJ076300986 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ076300986 | ||
003 | DE-627 | ||
005 | 20230503015019.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230228s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3390/biology9030059 |2 doi | |
035 | |a (DE-627)DOAJ076300986 | ||
035 | |a (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a QH301-705.5 | |
100 | 0 | |a Magali Humbert |e verfasserin |4 aut | |
245 | 1 | 0 | |a Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. | ||
650 | 4 | |a autophagy | |
650 | 4 | |a biomarkers | |
650 | 4 | |a pathology | |
650 | 4 | |a disease | |
653 | 0 | |a Biology (General) | |
700 | 0 | |a María Morán |e verfasserin |4 aut | |
700 | 0 | |a Patricia de la Cruz-Ojeda |e verfasserin |4 aut | |
700 | 0 | |a Jordi Muntané |e verfasserin |4 aut | |
700 | 0 | |a Tabea Wiedmer |e verfasserin |4 aut | |
700 | 0 | |a Nadezda Apostolova |e verfasserin |4 aut | |
700 | 0 | |a Sharon L. McKenna |e verfasserin |4 aut | |
700 | 0 | |a Guillermo Velasco |e verfasserin |4 aut | |
700 | 0 | |a Walter Balduini |e verfasserin |4 aut | |
700 | 0 | |a Leopold Eckhart |e verfasserin |4 aut | |
700 | 0 | |a Bassam Janji |e verfasserin |4 aut | |
700 | 0 | |a Belém Sampaio-Marques |e verfasserin |4 aut | |
700 | 0 | |a Paula Ludovico |e verfasserin |4 aut | |
700 | 0 | |a Eva Žerovnik |e verfasserin |4 aut | |
700 | 0 | |a Rupert Langer |e verfasserin |4 aut | |
700 | 0 | |a Aurel Perren |e verfasserin |4 aut | |
700 | 0 | |a Nikolai Engedal |e verfasserin |4 aut | |
700 | 0 | |a Mario P. Tschan |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Biology |d MDPI AG, 2012 |g 9(2020), 3, p 59 |w (DE-627)718622073 |w (DE-600)2661517-4 |x 20797737 |7 nnns |
773 | 1 | 8 | |g volume:9 |g year:2020 |g number:3, p 59 |
856 | 4 | 0 | |u https://doi.org/10.3390/biology9030059 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd |z kostenfrei |
856 | 4 | 0 | |u https://www.mdpi.com/2079-7737/9/3/59 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2079-7737 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 9 |j 2020 |e 3, p 59 |
author_variant |
m h mh m m mm p d l c o pdlco j m jm t w tw n a na s l m slm g v gv w b wb l e le b j bj b s m bsm p l pl e ž ež r l rl a p ap n e ne m p t mpt |
---|---|
matchkey_str |
article:20797737:2020----::sesnatpaynrhvdiserotcpueuohgcl |
hierarchy_sort_str |
2020 |
callnumber-subject-code |
QH |
publishDate |
2020 |
allfields |
10.3390/biology9030059 doi (DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd DE-627 ger DE-627 rakwb eng QH301-705.5 Magali Humbert verfasserin aut Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. autophagy biomarkers pathology disease Biology (General) María Morán verfasserin aut Patricia de la Cruz-Ojeda verfasserin aut Jordi Muntané verfasserin aut Tabea Wiedmer verfasserin aut Nadezda Apostolova verfasserin aut Sharon L. McKenna verfasserin aut Guillermo Velasco verfasserin aut Walter Balduini verfasserin aut Leopold Eckhart verfasserin aut Bassam Janji verfasserin aut Belém Sampaio-Marques verfasserin aut Paula Ludovico verfasserin aut Eva Žerovnik verfasserin aut Rupert Langer verfasserin aut Aurel Perren verfasserin aut Nikolai Engedal verfasserin aut Mario P. Tschan verfasserin aut In Biology MDPI AG, 2012 9(2020), 3, p 59 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:9 year:2020 number:3, p 59 https://doi.org/10.3390/biology9030059 kostenfrei https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd kostenfrei https://www.mdpi.com/2079-7737/9/3/59 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 3, p 59 |
spelling |
10.3390/biology9030059 doi (DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd DE-627 ger DE-627 rakwb eng QH301-705.5 Magali Humbert verfasserin aut Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. autophagy biomarkers pathology disease Biology (General) María Morán verfasserin aut Patricia de la Cruz-Ojeda verfasserin aut Jordi Muntané verfasserin aut Tabea Wiedmer verfasserin aut Nadezda Apostolova verfasserin aut Sharon L. McKenna verfasserin aut Guillermo Velasco verfasserin aut Walter Balduini verfasserin aut Leopold Eckhart verfasserin aut Bassam Janji verfasserin aut Belém Sampaio-Marques verfasserin aut Paula Ludovico verfasserin aut Eva Žerovnik verfasserin aut Rupert Langer verfasserin aut Aurel Perren verfasserin aut Nikolai Engedal verfasserin aut Mario P. Tschan verfasserin aut In Biology MDPI AG, 2012 9(2020), 3, p 59 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:9 year:2020 number:3, p 59 https://doi.org/10.3390/biology9030059 kostenfrei https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd kostenfrei https://www.mdpi.com/2079-7737/9/3/59 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 3, p 59 |
allfields_unstemmed |
10.3390/biology9030059 doi (DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd DE-627 ger DE-627 rakwb eng QH301-705.5 Magali Humbert verfasserin aut Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. autophagy biomarkers pathology disease Biology (General) María Morán verfasserin aut Patricia de la Cruz-Ojeda verfasserin aut Jordi Muntané verfasserin aut Tabea Wiedmer verfasserin aut Nadezda Apostolova verfasserin aut Sharon L. McKenna verfasserin aut Guillermo Velasco verfasserin aut Walter Balduini verfasserin aut Leopold Eckhart verfasserin aut Bassam Janji verfasserin aut Belém Sampaio-Marques verfasserin aut Paula Ludovico verfasserin aut Eva Žerovnik verfasserin aut Rupert Langer verfasserin aut Aurel Perren verfasserin aut Nikolai Engedal verfasserin aut Mario P. Tschan verfasserin aut In Biology MDPI AG, 2012 9(2020), 3, p 59 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:9 year:2020 number:3, p 59 https://doi.org/10.3390/biology9030059 kostenfrei https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd kostenfrei https://www.mdpi.com/2079-7737/9/3/59 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 3, p 59 |
allfieldsGer |
10.3390/biology9030059 doi (DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd DE-627 ger DE-627 rakwb eng QH301-705.5 Magali Humbert verfasserin aut Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. autophagy biomarkers pathology disease Biology (General) María Morán verfasserin aut Patricia de la Cruz-Ojeda verfasserin aut Jordi Muntané verfasserin aut Tabea Wiedmer verfasserin aut Nadezda Apostolova verfasserin aut Sharon L. McKenna verfasserin aut Guillermo Velasco verfasserin aut Walter Balduini verfasserin aut Leopold Eckhart verfasserin aut Bassam Janji verfasserin aut Belém Sampaio-Marques verfasserin aut Paula Ludovico verfasserin aut Eva Žerovnik verfasserin aut Rupert Langer verfasserin aut Aurel Perren verfasserin aut Nikolai Engedal verfasserin aut Mario P. Tschan verfasserin aut In Biology MDPI AG, 2012 9(2020), 3, p 59 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:9 year:2020 number:3, p 59 https://doi.org/10.3390/biology9030059 kostenfrei https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd kostenfrei https://www.mdpi.com/2079-7737/9/3/59 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 3, p 59 |
allfieldsSound |
10.3390/biology9030059 doi (DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd DE-627 ger DE-627 rakwb eng QH301-705.5 Magali Humbert verfasserin aut Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. autophagy biomarkers pathology disease Biology (General) María Morán verfasserin aut Patricia de la Cruz-Ojeda verfasserin aut Jordi Muntané verfasserin aut Tabea Wiedmer verfasserin aut Nadezda Apostolova verfasserin aut Sharon L. McKenna verfasserin aut Guillermo Velasco verfasserin aut Walter Balduini verfasserin aut Leopold Eckhart verfasserin aut Bassam Janji verfasserin aut Belém Sampaio-Marques verfasserin aut Paula Ludovico verfasserin aut Eva Žerovnik verfasserin aut Rupert Langer verfasserin aut Aurel Perren verfasserin aut Nikolai Engedal verfasserin aut Mario P. Tschan verfasserin aut In Biology MDPI AG, 2012 9(2020), 3, p 59 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:9 year:2020 number:3, p 59 https://doi.org/10.3390/biology9030059 kostenfrei https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd kostenfrei https://www.mdpi.com/2079-7737/9/3/59 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 3, p 59 |
language |
English |
source |
In Biology 9(2020), 3, p 59 volume:9 year:2020 number:3, p 59 |
sourceStr |
In Biology 9(2020), 3, p 59 volume:9 year:2020 number:3, p 59 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
autophagy biomarkers pathology disease Biology (General) |
isfreeaccess_bool |
true |
container_title |
Biology |
authorswithroles_txt_mv |
Magali Humbert @@aut@@ María Morán @@aut@@ Patricia de la Cruz-Ojeda @@aut@@ Jordi Muntané @@aut@@ Tabea Wiedmer @@aut@@ Nadezda Apostolova @@aut@@ Sharon L. McKenna @@aut@@ Guillermo Velasco @@aut@@ Walter Balduini @@aut@@ Leopold Eckhart @@aut@@ Bassam Janji @@aut@@ Belém Sampaio-Marques @@aut@@ Paula Ludovico @@aut@@ Eva Žerovnik @@aut@@ Rupert Langer @@aut@@ Aurel Perren @@aut@@ Nikolai Engedal @@aut@@ Mario P. Tschan @@aut@@ |
publishDateDaySort_date |
2020-01-01T00:00:00Z |
hierarchy_top_id |
718622073 |
id |
DOAJ076300986 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ076300986</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503015019.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/biology9030059</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ076300986</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH301-705.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Magali Humbert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">autophagy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarkers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pathology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">disease</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biology (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">María Morán</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Patricia de la Cruz-Ojeda</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jordi Muntané</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tabea Wiedmer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nadezda Apostolova</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sharon L. McKenna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guillermo Velasco</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Walter Balduini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Leopold Eckhart</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bassam Janji</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Belém Sampaio-Marques</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Paula Ludovico</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Eva Žerovnik</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rupert Langer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aurel Perren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nikolai Engedal</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mario P. Tschan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Biology</subfield><subfield code="d">MDPI AG, 2012</subfield><subfield code="g">9(2020), 3, p 59</subfield><subfield code="w">(DE-627)718622073</subfield><subfield code="w">(DE-600)2661517-4</subfield><subfield code="x">20797737</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3, p 59</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/biology9030059</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2079-7737/9/3/59</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2079-7737</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2020</subfield><subfield code="e">3, p 59</subfield></datafield></record></collection>
|
callnumber-first |
Q - Science |
author |
Magali Humbert |
spellingShingle |
Magali Humbert misc QH301-705.5 misc autophagy misc biomarkers misc pathology misc disease misc Biology (General) Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
authorStr |
Magali Humbert |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)718622073 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
QH301-705 |
illustrated |
Not Illustrated |
issn |
20797737 |
topic_title |
QH301-705.5 Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot autophagy biomarkers pathology disease |
topic |
misc QH301-705.5 misc autophagy misc biomarkers misc pathology misc disease misc Biology (General) |
topic_unstemmed |
misc QH301-705.5 misc autophagy misc biomarkers misc pathology misc disease misc Biology (General) |
topic_browse |
misc QH301-705.5 misc autophagy misc biomarkers misc pathology misc disease misc Biology (General) |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Biology |
hierarchy_parent_id |
718622073 |
hierarchy_top_title |
Biology |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)718622073 (DE-600)2661517-4 |
title |
Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
ctrlnum |
(DE-627)DOAJ076300986 (DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd |
title_full |
Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
author_sort |
Magali Humbert |
journal |
Biology |
journalStr |
Biology |
callnumber-first-code |
Q |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
txt |
author_browse |
Magali Humbert María Morán Patricia de la Cruz-Ojeda Jordi Muntané Tabea Wiedmer Nadezda Apostolova Sharon L. McKenna Guillermo Velasco Walter Balduini Leopold Eckhart Bassam Janji Belém Sampaio-Marques Paula Ludovico Eva Žerovnik Rupert Langer Aurel Perren Nikolai Engedal Mario P. Tschan |
container_volume |
9 |
class |
QH301-705.5 |
format_se |
Elektronische Aufsätze |
author-letter |
Magali Humbert |
doi_str_mv |
10.3390/biology9030059 |
author2-role |
verfasserin |
title_sort |
assessing autophagy in archived tissue or how to capture autophagic flux from a tissue snapshot |
callnumber |
QH301-705.5 |
title_auth |
Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
abstract |
Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. |
abstractGer |
Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. |
abstract_unstemmed |
Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
3, p 59 |
title_short |
Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot |
url |
https://doi.org/10.3390/biology9030059 https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd https://www.mdpi.com/2079-7737/9/3/59 https://doaj.org/toc/2079-7737 |
remote_bool |
true |
author2 |
María Morán Patricia de la Cruz-Ojeda Jordi Muntané Tabea Wiedmer Nadezda Apostolova Sharon L. McKenna Guillermo Velasco Walter Balduini Leopold Eckhart Bassam Janji Belém Sampaio-Marques Paula Ludovico Eva Žerovnik Rupert Langer Aurel Perren Nikolai Engedal Mario P. Tschan |
author2Str |
María Morán Patricia de la Cruz-Ojeda Jordi Muntané Tabea Wiedmer Nadezda Apostolova Sharon L. McKenna Guillermo Velasco Walter Balduini Leopold Eckhart Bassam Janji Belém Sampaio-Marques Paula Ludovico Eva Žerovnik Rupert Langer Aurel Perren Nikolai Engedal Mario P. Tschan |
ppnlink |
718622073 |
callnumber-subject |
QH - Natural History and Biology |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.3390/biology9030059 |
callnumber-a |
QH301-705.5 |
up_date |
2024-07-03T19:43:43.313Z |
_version_ |
1803588283501903872 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ076300986</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503015019.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/biology9030059</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ076300986</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb91cce0404e540ad8040ae3a27a84abd</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH301-705.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Magali Humbert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">autophagy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarkers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pathology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">disease</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biology (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">María Morán</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Patricia de la Cruz-Ojeda</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jordi Muntané</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tabea Wiedmer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nadezda Apostolova</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sharon L. McKenna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guillermo Velasco</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Walter Balduini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Leopold Eckhart</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bassam Janji</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Belém Sampaio-Marques</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Paula Ludovico</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Eva Žerovnik</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rupert Langer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aurel Perren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nikolai Engedal</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mario P. Tschan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Biology</subfield><subfield code="d">MDPI AG, 2012</subfield><subfield code="g">9(2020), 3, p 59</subfield><subfield code="w">(DE-627)718622073</subfield><subfield code="w">(DE-600)2661517-4</subfield><subfield code="x">20797737</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3, p 59</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/biology9030059</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/b91cce0404e540ad8040ae3a27a84abd</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2079-7737/9/3/59</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2079-7737</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2020</subfield><subfield code="e">3, p 59</subfield></datafield></record></collection>
|
score |
7.4001703 |