RNA Sequencing Analysis of Wild Type Caput, Corpus, and Cauda Epididymal Transcriptomes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA576228 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10239155.fastq.gz | Fastqsanger.gz | |||
| SRR10239156.fastq.gz | Fastqsanger.gz | |||
| SRR10239157.fastq.gz | Fastqsanger.gz | |||
| SRR10239158.fastq.gz | Fastqsanger.gz | |||
| SRR10239159.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The goal of this study is to detect differentially expressed genes, among Wild type caput, corpus, and cauda epididymis by RNA sequencing Methods: Caput, corpus, and cauda epidiymal mRNA profiles of 9-month-old wild-type mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. Results: RNA-seq data identified transcripts differentially expressed in caput, corpus, and cauda epididymis. Conclusions: Our results show that the expression of many genes were differentially regulated in caput, corpus, and cauda epididymis.
2020-06-05 | GSE138517 | GEO
Project description:Purpose: To compare the transcriptome profiles (RNA-seq) of cultured human epididymis cells and tissue from the caput, corpus and cauda regions of the human epididymis. Methods: Human epididymis tissue was obtained with Institutional Review Board approval from 3 patients (UC05, UC06, UC09, range: 22 - 36 years) undergoing inguinal radical orchiectomy for a clinical diagnosis of testicular cancer. None of the epididymides had extension of the testicular cancer. The three anatomical regions: caput, corpus and cauda, were separated and segments of each snap frozen. Adult human epididymis epithelial (HEE) cultures were also established from tissue. RNA was extracted from both tissue and cultured HEE cells and RNA-seq libraries prepared (TruSeq RNA Sample Preparation Kit v2, Low-Throughput protocol, Illumina). Libraries were sequenced on Illumina HiSeq2500 machines. Data were analyzed using TopHat and Cufflinks. Results: Libraries generated ~19-39 million reads per library from the cells (95-99% mapping to the human genome) and ~14-39 million reads from the tissue samples (84-99% mapped). Raw reads were aligned to the genome with Tophat and gene expression values were processed using Cufflinks as Fragments Per Kilobase per Million mapped fragments (FPKM). FPKM values were subject to principle component analysis, which revealed that though caput, corpus and cauda cell samples respectively from UC05, UC06 and UC09 clustered together. RNA-seq data from the 3 biological replicas (UC05, UC06 and UC09) of caput, corpus and cauda were pooled for further analysis. Cufflinks was used to determine differentially expressed genes (DEGs) between caput, corpus and cauda cells, combined from the 3 donors. The gene expression profiles of corpus and cauda are remarkably similar and both differ from the caput to a similar degree. We identified ~40 genes differentially expressed between corpus and cauda and more than 1600 DEGs between caput and cauda. The DEGs for each comparison (caput and corpus/cauda) were analysed using a gene ontology process enrichment analysis (DAVID, Huang et al., NAR 2009;37:1-13, Huang et al., 2009 Nat Prot 4:44-57). Conclusions: Here we describe an in depth analysis of the gene expression repertoire of primary cultures of epithelial cells and intact tissues from each region of the adult human epididymis. These data will be valuable to decipher pathways of normal epididymis function and aspects of epididymis disease that cause male infertility. RNA-seq was performed on libraries generated from caput, corpus and cauda-derived cultured cells (passage 2 or 3) from 3 donors and on caput, corpus and cauda tissue from 2 of the same donors. Donor age range: 22 - 36 years.
2016-01-04 | E-GEOD-72986 | biostudies-arrayexpress
Project description:Purpose: To compare the transcriptome profiles (RNA-seq) of cultured human epididymis cells and tissue from the caput, corpus and cauda regions of the human epididymis. Methods: Human epididymis tissue was obtained with Institutional Review Board approval from 3 patients (UC05, UC06, UC09, range: 22 - 36 years) undergoing inguinal radical orchiectomy for a clinical diagnosis of testicular cancer. None of the epididymides had extension of the testicular cancer. The three anatomical regions: caput, corpus and cauda, were separated and segments of each snap frozen. Adult human epididymis epithelial (HEE) cultures were also established from tissue. RNA was extracted from both tissue and cultured HEE cells and RNA-seq libraries prepared (TruSeq RNA Sample Preparation Kit v2, Low-Throughput protocol, Illumina). Libraries were sequenced on Illumina HiSeq2500 machines. Data were analyzed using TopHat and Cufflinks. Results: Libraries generated ~19-39 million reads per library from the cells (95-99% mapping to the human genome) and ~14-39 million reads from the tissue samples (84-99% mapped). Raw reads were aligned to the genome with Tophat and gene expression values were processed using Cufflinks as Fragments Per Kilobase per Million mapped fragments (FPKM). FPKM values were subject to principle component analysis, which revealed that though caput, corpus and cauda cell samples respectively from UC05, UC06 and UC09 clustered together. RNA-seq data from the 3 biological replicas (UC05, UC06 and UC09) of caput, corpus and cauda were pooled for further analysis. Cufflinks was used to determine differentially expressed genes (DEGs) between caput, corpus and cauda cells, combined from the 3 donors. The gene expression profiles of corpus and cauda are remarkably similar and both differ from the caput to a similar degree. We identified ~40 genes differentially expressed between corpus and cauda and more than 1600 DEGs between caput and cauda. The DEGs for each comparison (caput and corpus/cauda) were analysed using a gene ontology process enrichment analysis (DAVID, Huang et al., NAR 2009;37:1-13, Huang et al., 2009 Nat Prot 4:44-57). Conclusions: Here we describe an in depth analysis of the gene expression repertoire of primary cultures of epithelial cells and intact tissues from each region of the adult human epididymis. These data will be valuable to decipher pathways of normal epididymis function and aspects of epididymis disease that cause male infertility.
2016-01-04 | GSE72986 | GEO
Project description:Total RNAs were extracted from the Testis and Epididymal Caput, Corpus and Cauda tissues of 2-month and 13-month-old WT and Gpx5 KO mice (C57BL/6). The 18 - 40 nt fraction small RNAs and transcriptomes were subjected to library construction and deep sequencing, using Illumina GAIIx or Hiseq 2000.
2019-07-01 | GSE122087 | GEO
Project description:Purpose: The goal of this study is to detect differentially expressed genes, between wild-type (WT) and Adgrg2-/Y (Adgrg2-KO) caput epididymis by RNA sequencing Methods: Caput epididymal mRNA profiles of 8-week-old WT and Adgrg2-KO mice were generated by deep sequencing, in triplicate, using Illumina NovaSeq6000. Results: RNA-seq data identified differentially expressed transcripts. Conclusions: Our results show that the expression of many genes was slightly downregulated in Adgrg2-KO caput epididymis compared with WT one.
2023-05-23 | GSE232896 | GEO
Project description:Purpose: The goal of this study is to detect differentially expressed genes, between wild-type (WT) efferent duct ligation (EDL)-treated, and W/Wv caput epididymis by RNA sequencing Methods: The EDL treatment of WT mice was performed from 10 weeks old and continued for 4 weeks until tissue sampling at 14 weeks old. Caput epididymal mRNA profiles of 14-week-old WT, EDL, and W/Wv mice were generated by deep sequencing, in triplicate, using Illumina NovaSeq6000. Results: RNA-seq data identified differentially expressed transcripts. Conclusions: Our results show that the expression of many genes was downregulated in EDL or W/Wv caput epididymis compared with WT one.
2023-05-23 | GSE232898 | GEO
Project description:This study investigated the differential responses of the epididymis and testis to infection with uropathogenic Escherichia coli (UPEC) in adult mice. In contrast to the cauda epididymidis, which exhibited ongoing damage following UPEC-infection, spermatogenic disruption was reversible and the caput epididymidis was largely unaffected. The caput epididymidis is structurally and functionally very different from the cauda, whereas beta-defensins as important epididymal antimicrobial factors are highly expressed in both tissues. The transcriptome of the testis, caput, corpus and cauda epididymidis were analysed in normal, wildtype C57BL/6J mice. Distinct differences in gene signatures were observed between caput and cauda epididymidis, particularly among immune-related genes, whereas corpus and cauda were much more alike. Beta-defensins were found at high levels in both caput and cauda epididymidis, whereas other antimicrobial factors, such as Lipocalin 2 and Lypd8 were found expressed selectively high in the caput epididymidis and hence may play an important role in local protection from bacterial pathogens, including UPEC.
2020-05-06 | GSE141071 | GEO
Project description:RNA Sequencing Analysis of Wild-type and Adgrg2-KO Caput Epididymal Transcriptomes
| PRJNA974392 | ENA
Project description:RNA Sequencing Analysis of Wild Type and Nell2-KO Caput Epididymal Transcriptomes
| PRJNA553131 | ENA
Project description:Mammalian spermatozoa acquire their fertilizing ability during epididymal transit. Gene expression patterns along the epididymis are established by specific transcription factor networks that coordinate region-specific functions. The epididymis is usually divided into 3 segments: caput, corpus, and cauda. The human epididymis anatomy does not allow clear distinction between these three segments. To determine to which extent gene expression is segmented along the human epididymis, transcriptome profiling was performed on 8 distinct epididymal regions from 3 donors. Microarray analysis was performed on a Gene Chip Human Clariom S (Affymetrix®) array representing 337 100 transcriptional variants encoded by 20 800 genes. Proximal segments 1 to 3 were distinguishable from the distal epididymal segments (4 to 8) as shown by unsupervised Principal Component Analysis. Transcripts from each segment with differentially expressed genes (DEGs) > 2-fold change and FDR < 0.05 were clustered in relation to their intensity profiles. While no DEGs were detected between segments 1–3 corresponding to the efferent ducts, 1140 DEGs were detected between efferent ducts (1–3) and the epididymis (4–8), 400 between caput (4–6) vs. corpus/cauda (7–8) and none between corpus (7) and cauda (8). Gene Ontology annotation revealed that up-regulated DEGs in the efferent ducts (1–3) were predominantly related to cilium assembly/movement and cell differentiation. The biological process terms fertilization, defense and immune responses were associated with caput epididymis (4–6) while spermatogenesis and protein binding were found all along the epididymis (4–8). In conclusion, the proximal human epididymis is exclusively occupied by efferent ducts with a distinct DEG profile compared with the downstream epididymal segments. Moreover, gene expression profiling revealed two regions in the human epididymis; the caput and the distal corpus/cauda region. Taken together, analysis of the human epididymal transcriptome reveals a limited DEG profile.
2020-11-06 | GSE141568 | GEO