Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome

Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Mater...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yu Sheng Cheng [verfasserIn] Chia Ling Chung [verfasserIn] Chun Fu Chen [verfasserIn] Yung Ming Lin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	infertility microarray microRNA Sertoli cell-only syndrome

Übergeordnetes Werk:	In: Urological Science - Wolters Kluwer Medknow Publications, 2016, 28(2017), 1, Seite 42-49
Übergeordnetes Werk:	volume:28 ; year:2017 ; number:1 ; pages:42-49

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.urols.2016.03.002

Katalog-ID:	DOAJ033062560

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520			\|a Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS.
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700	0		\|a Yung Ming Lin \|e verfasserin \|4 aut
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author_variant	y s c ysc c l c clc c f c cfc y m l yml
matchkey_str	article:18795226:2017----::ifrnilxrsinfirraadhimsegrntresnewtnrasemtgn
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allfields	10.1016/j.urols.2016.03.002 doi (DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce DE-627 ger DE-627 rakwb eng RC870-923 Yu Sheng Cheng verfasserin aut Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS. infertility microarray microRNA Sertoli cell-only syndrome Diseases of the genitourinary system. Urology Chia Ling Chung verfasserin aut Chun Fu Chen verfasserin aut Yung Ming Lin verfasserin aut In Urological Science Wolters Kluwer Medknow Publications, 2016 28(2017), 1, Seite 42-49 (DE-627)627611818 (DE-600)2556801-2 18795226 nnns volume:28 year:2017 number:1 pages:42-49 https://doi.org/10.1016/j.urols.2016.03.002 kostenfrei https://doaj.org/article/dcca191b815e4e439cca9d254d388dce kostenfrei http://www.sciencedirect.com/science/article/pii/S1879522616300252 kostenfrei https://doaj.org/toc/1879-5226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 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 28 2017 1 42-49
spelling	10.1016/j.urols.2016.03.002 doi (DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce DE-627 ger DE-627 rakwb eng RC870-923 Yu Sheng Cheng verfasserin aut Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS. infertility microarray microRNA Sertoli cell-only syndrome Diseases of the genitourinary system. Urology Chia Ling Chung verfasserin aut Chun Fu Chen verfasserin aut Yung Ming Lin verfasserin aut In Urological Science Wolters Kluwer Medknow Publications, 2016 28(2017), 1, Seite 42-49 (DE-627)627611818 (DE-600)2556801-2 18795226 nnns volume:28 year:2017 number:1 pages:42-49 https://doi.org/10.1016/j.urols.2016.03.002 kostenfrei https://doaj.org/article/dcca191b815e4e439cca9d254d388dce kostenfrei http://www.sciencedirect.com/science/article/pii/S1879522616300252 kostenfrei https://doaj.org/toc/1879-5226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 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 28 2017 1 42-49
allfields_unstemmed	10.1016/j.urols.2016.03.002 doi (DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce DE-627 ger DE-627 rakwb eng RC870-923 Yu Sheng Cheng verfasserin aut Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS. infertility microarray microRNA Sertoli cell-only syndrome Diseases of the genitourinary system. Urology Chia Ling Chung verfasserin aut Chun Fu Chen verfasserin aut Yung Ming Lin verfasserin aut In Urological Science Wolters Kluwer Medknow Publications, 2016 28(2017), 1, Seite 42-49 (DE-627)627611818 (DE-600)2556801-2 18795226 nnns volume:28 year:2017 number:1 pages:42-49 https://doi.org/10.1016/j.urols.2016.03.002 kostenfrei https://doaj.org/article/dcca191b815e4e439cca9d254d388dce kostenfrei http://www.sciencedirect.com/science/article/pii/S1879522616300252 kostenfrei https://doaj.org/toc/1879-5226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 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 28 2017 1 42-49
allfieldsGer	10.1016/j.urols.2016.03.002 doi (DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce DE-627 ger DE-627 rakwb eng RC870-923 Yu Sheng Cheng verfasserin aut Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS. infertility microarray microRNA Sertoli cell-only syndrome Diseases of the genitourinary system. Urology Chia Ling Chung verfasserin aut Chun Fu Chen verfasserin aut Yung Ming Lin verfasserin aut In Urological Science Wolters Kluwer Medknow Publications, 2016 28(2017), 1, Seite 42-49 (DE-627)627611818 (DE-600)2556801-2 18795226 nnns volume:28 year:2017 number:1 pages:42-49 https://doi.org/10.1016/j.urols.2016.03.002 kostenfrei https://doaj.org/article/dcca191b815e4e439cca9d254d388dce kostenfrei http://www.sciencedirect.com/science/article/pii/S1879522616300252 kostenfrei https://doaj.org/toc/1879-5226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 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 28 2017 1 42-49
allfieldsSound	10.1016/j.urols.2016.03.002 doi (DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce DE-627 ger DE-627 rakwb eng RC870-923 Yu Sheng Cheng verfasserin aut Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS. infertility microarray microRNA Sertoli cell-only syndrome Diseases of the genitourinary system. Urology Chia Ling Chung verfasserin aut Chun Fu Chen verfasserin aut Yung Ming Lin verfasserin aut In Urological Science Wolters Kluwer Medknow Publications, 2016 28(2017), 1, Seite 42-49 (DE-627)627611818 (DE-600)2556801-2 18795226 nnns volume:28 year:2017 number:1 pages:42-49 https://doi.org/10.1016/j.urols.2016.03.002 kostenfrei https://doaj.org/article/dcca191b815e4e439cca9d254d388dce kostenfrei http://www.sciencedirect.com/science/article/pii/S1879522616300252 kostenfrei https://doaj.org/toc/1879-5226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 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 28 2017 1 42-49
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source	In Urological Science 28(2017), 1, Seite 42-49 volume:28 year:2017 number:1 pages:42-49
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authorswithroles_txt_mv	Yu Sheng Cheng @@aut@@ Chia Ling Chung @@aut@@ Chun Fu Chen @@aut@@ Yung Ming Lin @@aut@@
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callnumber-first	R - Medicine
author	Yu Sheng Cheng
spellingShingle	Yu Sheng Cheng misc RC870-923 misc infertility misc microarray misc microRNA misc Sertoli cell-only syndrome misc Diseases of the genitourinary system. Urology Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome
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topic_title	RC870-923 Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome infertility microarray microRNA Sertoli cell-only syndrome
topic	misc RC870-923 misc infertility misc microarray misc microRNA misc Sertoli cell-only syndrome misc Diseases of the genitourinary system. Urology
topic_unstemmed	misc RC870-923 misc infertility misc microarray misc microRNA misc Sertoli cell-only syndrome misc Diseases of the genitourinary system. Urology
topic_browse	misc RC870-923 misc infertility misc microarray misc microRNA misc Sertoli cell-only syndrome misc Diseases of the genitourinary system. Urology
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title	Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome
ctrlnum	(DE-627)DOAJ033062560 (DE-599)DOAJdcca191b815e4e439cca9d254d388dce
title_full	Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome
author_sort	Yu Sheng Cheng
journal	Urological Science
journalStr	Urological Science
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container_start_page	42
author_browse	Yu Sheng Cheng Chia Ling Chung Chun Fu Chen Yung Ming Lin
container_volume	28
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format_se	Elektronische Aufsätze
author-letter	Yu Sheng Cheng
doi_str_mv	10.1016/j.urols.2016.03.002
author2-role	verfasserin
title_sort	differential expression of micrornas and their messengerrna targets in men with normal spermatogenesis versus sertoli cell-only syndrome
callnumber	RC870-923
title_auth	Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome
abstract	Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS.
abstractGer	Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS.
abstract_unstemmed	Objective: To identify the profiling of testicular microRNAs (miRNAs) that are differentially expressed in men with normal spermatogenesis versus Sertoli cell-only syndrome (SCOS), to predict the miRNA target genes, and to determine the molecular networks/pathways constituted by miRNA targets. Materials and methods: Nine obstructive azoospermic men with normal spermatogenesis and nine SCOS men were enrolled in this study. Testicular tissues from three men with normal spermatogenesis and three men with SCOS were pooled respectively for miRNA microarray analysis, and the other 12 testicular specimens were used for subsequent quantitative real-time polymerase chain reaction analysis for validation. Moreover, the predicted targets of the differentially expressed miRNAs were identified in silico and uploaded to Ingenuity Pathway Analysis for further network/pathway analysis. Results: Three miRNAs that were upregulated (miR-136, miR-630, and miR-663) and seven miRNAs that were downregulated (miR-15b, miR-18a, miR-25, miR-30a-5p, miR-34b, miR-93, and miR-126) in SCOS specimens were identified. A total of 51 spermatogenesis-related targets were predicted in silico. Results from quantitative reverse transcription polymerase chain reaction generally correlate with microarray and computational analysis. Three significant molecular networks and five canonical pathways associated with biological functions of steroidogenesis and spermatogenesis were identified. Conclusions: Aberrant expression of 10 differentially expressed miRNAs might result in dysregulation of steroidogenesis and spermatogenesis that may ultimately lead to SCOS.
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title_short	Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome
url	https://doi.org/10.1016/j.urols.2016.03.002 https://doaj.org/article/dcca191b815e4e439cca9d254d388dce http://www.sciencedirect.com/science/article/pii/S1879522616300252 https://doaj.org/toc/1879-5226
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author2	Chia Ling Chung Chun Fu Chen Yung Ming Lin
author2Str	Chia Ling Chung Chun Fu Chen Yung Ming Lin
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doi_str	10.1016/j.urols.2016.03.002
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up_date	2024-07-03T15:37:48.057Z
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Differential expression of microRNAs and their messengerRNA targets in men with normal spermatogenesis versus Sertoli cell-only syndrome

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