2022
DOI: 10.3389/fcell.2022.824596
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Altered mRNAs Profiles in the Testis of Patients With “Secondary Idiopathic Non-Obstructive Azoospermia”

Abstract: Background: Non-obstructive azoospermia (NOA) is the most severe form of male infertility. Currently, known causative factors, including congenital and several acquired causes only account for approximately 30% of NOA cases. The causes for NOA remain unclear for most patients, which is known as idiopathic (iNOA). However, whether iNOA is due to congenital defects or acquired abnormalities is a confusing problem due to the delayed diagnosis of this frustrating condition until the childbearing age. Therefore, we… Show more

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Cited by 6 publications
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“…Then with the development of some more specific methods such as immunohistochemistry staining (IHC), researches on the human testis reached protein levels 20 - 22 . A huge breakthrough in this field was the application of microarray and high-throughput RNA-seq on human testicular samples 23 - 26 , which gave scientists a transcriptional view of both the normal testis's development and the pathogenesis of spermatogenic dysfunctions 27 , 28 . Nevertheless, both microarray and traditional RNA-seq are based on bulk tissue, for which the testicular sample is considered as a whole, so we could only obtain the mainstream of transcriptional changes in the sample but ignore the heterogeneity of different cells.…”
Section: Introductionmentioning
confidence: 99%
“…Then with the development of some more specific methods such as immunohistochemistry staining (IHC), researches on the human testis reached protein levels 20 - 22 . A huge breakthrough in this field was the application of microarray and high-throughput RNA-seq on human testicular samples 23 - 26 , which gave scientists a transcriptional view of both the normal testis's development and the pathogenesis of spermatogenic dysfunctions 27 , 28 . Nevertheless, both microarray and traditional RNA-seq are based on bulk tissue, for which the testicular sample is considered as a whole, so we could only obtain the mainstream of transcriptional changes in the sample but ignore the heterogeneity of different cells.…”
Section: Introductionmentioning
confidence: 99%