Profiling of DHOK targets through transcriptome sequencing
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA784244 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17054719_1.fastq.gz | Fastqsanger.gz | |||
| SRR17054719_2.fastq.gz | Fastqsanger.gz | |||
| SRR17054720_1.fastq.gz | Fastqsanger.gz | |||
| SRR17054720_2.fastq.gz | Fastqsanger.gz | |||
| SRR17054721_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:DHOK (14,15β-dihydroxyklaineanone) is a novel diterpene isolated from roots of Eurycoma longifolia Jack, a traditional herb widely applied in Southeast Asia. It is reported that DHOK has cytotoxic effect on cancer cells, but its anti-cancer mechanism has still been not clear. To elucidate the anti-cancer mechanism of DHOK, we used transcriptome sequencing (RNA-seq) to identify cancer-associated gene signatures in human CRC cells treated with DHOK. The differential expression of genes in SW620 cells treated with or without DHOK (12.5 μM, 24 h) was significant. Compared with the control, there were totally 4083 genes with their expression levels significantly altered following DHOK treatment. Among these differentially expressed genes, 2857 genes were downregulated and 1226 genes were upregulated. Subsequently, we performed GO (gene ontology) analysis of DHOK targets. It was shown that the distribution of these targets was in different parts of the cell, and especially in the nucleus, cytoplasm, mitochondria, lysosome, endoplasmic reticulum, Golgi apparatus etc.To understand the inhibitory effect of DHOK on human CRC cells, the differentially expressed genes identified were subjected to functional enrichment analysis. The significantly enriched GO terms were mainly associated with autophagy, including autophagosome formation, lysosomal transport, mitophagy, regulation of autophagy, metabolic stress etc. KEGG (kyoto encyclopedia of genes and genomes) analysis showed that the targets of DHOK participated in various signaling pathways, including VEGF (vascular endothelial growth factor), mTOR, P53, TNF-α (tumor necrosis factor), MAPK (mitogen activated protein kinase), Ras, Wnt, FoxO (forkhead box) etc.
2022-01-05 | GSE189697 | GEO
Project description:Purpose: Transcriptome is the entire repertoire of all transcripts present in a cell at any particular time. We undertook next-generation whole transcriptome sequencing approach to gain insight of the transcriptional landscape of the developing mouse lens. Methods: We ascertained mice lenses at six developmental time points including two embryonic (E15 and E18) and four postnatal stages (P0, P3, P6, and P9). The ocular tissue at each time point was maintained as two distinct pools serving as biological replicates for each developmental stage. The mRNA and small RNA libraries were paired-end sequenced on Illumina HiSeq 2000 and subsequently analyzed using bioinformatics tools. Results: Mapping of mRNA and small RNA libraries generated 187.56 and 154.22 million paired-end reads, respectively. We detected a total of 14,465 genes in the mouse ocular lens. Of these, 46 genes exhibited 40-fold differential expression compared to transcriptional levels at E15. Likewise, small RNA profiling identified 379 microRNAs (miRNAs) expressed in mouse lens. Of these, 49 miRNAs manifested an 8-fold or higher differential expression when compared, as above to the microRNA expression at E15. Conclusion: We report the first comprehensive profile of developing murine lens transcriptome including both mRNA and miRNA through next-generation RNA sequencing. A complete repository of the lens transcriptome of six developmental time points will be monumental in elucidating processes essential for development of the ocular lens and maintenance its transparency. Whole transcrtiome and microRNA profilling of mouse lens using 2 embryonic (E15 and E18) and 4 postnatal stages (P0, P3, P6 and P9) in duplicates through high-throughput sequening using Illumina HiSeq2000.
2015-10-29 | E-GEOD-69221 | biostudies-arrayexpress
Project description:Analysis of transcriptional targets of KLF6 in HCC through gene expression profiling and ChIP-sequencing
| PRJNA237566 | ENA
Project description:Purpose: Transcriptome is the entire repertoire of all transcripts present in a cell at any particular time. We undertook next-generation whole transcriptome sequencing approach to gain insight of the transcriptional landscape of the developing mouse lens. Methods: We ascertained mice lenses at six developmental time points including two embryonic (E15 and E18) and four postnatal stages (P0, P3, P6, and P9). The ocular tissue at each time point was maintained as two distinct pools serving as biological replicates for each developmental stage. The mRNA and small RNA libraries were paired-end sequenced on Illumina HiSeq 2000 and subsequently analyzed using bioinformatics tools. Results: Mapping of mRNA and small RNA libraries generated 187.56 and 154.22 million paired-end reads, respectively. We detected a total of 14,465 genes in the mouse ocular lens. Of these, 46 genes exhibited 40-fold differential expression compared to transcriptional levels at E15. Likewise, small RNA profiling identified 379 microRNAs (miRNAs) expressed in mouse lens. Of these, 49 miRNAs manifested an 8-fold or higher differential expression when compared, as above to the microRNA expression at E15. Conclusion: We report the first comprehensive profile of developing murine lens transcriptome including both mRNA and miRNA through next-generation RNA sequencing. A complete repository of the lens transcriptome of six developmental time points will be monumental in elucidating processes essential for development of the ocular lens and maintenance its transparency.
2015-10-29 | GSE69221 | GEO
Project description:PurposeTranscriptome is the entire repertoire of transcripts present in a cell at any particular time. We undertook a next-generation whole transcriptome sequencing approach to gain insight into the transcriptional landscape of the developing mouse lens.MethodsWe ascertained mouse lenses at six developmental time points including two embryonic (E15 and E18) and four postnatal stages (P0, P3, P6, and P9). The ocular tissue at each time point was maintained as two distinct pools serving as biological replicates for each developmental stage. The mRNA and small RNA libraries were paired-end sequenced on Illumina HiSeq 2000 and subsequently analyzed using bioinformatics tools.ResultsMapping of mRNA and small RNA libraries generated 187.56 and 154.22 million paired-end reads, respectively. We detected a total of 14,465 genes in the mouse ocular lens at the above-mentioned six developmental stages. Of these, 46 genes exhibited a 40-fold differential (higher or lower) expression at one the five developmental stages (E18, P0, P3, P6, and P9) compared with their expression level at E15. Likewise, small RNA profiling identified 379 microRNAs (miRNAs) expressed in mouse lens at six developmental time points. Of these, 49 miRNAs manifested an 8-fold differential (higher or lower) expression at one the five developmental stages, as mentioned above compared with their expression level at E15.ConclusionsWe report a comprehensive profile of developing murine lens transcriptome including both mRNA and miRNA through next-generation RNA sequencing. A complete repository of the lens transcriptome of six developmental time points will be monumental in elucidating processes essential for the development of the ocular lens and maintenance of its transparency.
| S-EPMC4525677 | biostudies-literature
Project description:The goals of this study are to identify in vivo downstream targets of Yap through NGS-derived tooth germ transcriptome profiling. The mRNA profiles of wild-type, Yap conditional knockout (CKO) and YAP transgenic (Tg) mouse tooth germs at embryonic day 14.5 were generated by deep sequencing using Illumina Hiseq2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level via DNAnexus. The validation was performed through qRT–PCR and in situ hybrydization. A set of Hox genes were differentially expression in Yap CKO and YAP Tg mouse tooth germs, demonstating concurrent expression changes with Yap transcripts. This study provides a platform to systematically identify in vivo downstream targets of genes of interest. The mRNA profiles of wild type, Yap CKO and YAP Tg mouse tooth germs at embryonic day 14.5 were generated by deep sequencing using Illumina Hiseq.
2015-02-21 | E-GEOD-65524 | biostudies-arrayexpress
Project description:Transcriptome-wide profiling of Yeast Phosphofructokinase 1 and 2 RNA targets
| PRJNA636199 | ENA
Project description:Identifying actionable targets through integrative analyses of GEM model and human prostate cancer profiling
| PRJNA260914 | ENA
Project description:The goals of this study are to identify in vivo downstream targets of Yap through NGS-derived tooth germ transcriptome profiling. The mRNA profiles of wild-type, Yap conditional knockout (CKO) and YAP transgenic (Tg) mouse tooth germs at embryonic day 14.5 were generated by deep sequencing using Illumina Hiseq2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level via DNAnexus. The validation was performed through qRT–PCR and in situ hybrydization. A set of Hox genes were differentially expression in Yap CKO and YAP Tg mouse tooth germs, demonstating concurrent expression changes with Yap transcripts. This study provides a platform to systematically identify in vivo downstream targets of genes of interest.
2015-02-21 | GSE65524 | GEO
Project description:Deregulated gene expression is a hallmark of cancer, however most studies to date have analyzed short-read RNA-sequencing data with inherent limitations. Here, we combine PacBio long-read isoform sequencing (Iso-Seq) and Illumina paired-end short read RNA sequencing to comprehensively survey the transcriptome of gastric cancer (GC), a leading cause of global cancer mortality. We performed full-length transcriptome analysis across 10 GC cell lines covering four major GC molecular subtypes (chromosomal unstable, Epstein-Barr positive, genome stable and microsatellite unstable). We identify 60,239 non-redundant full-length transcripts, of which >66% are novel compared to current transcriptome databases. Novel isoforms are more likely to be cell-line and subtype specific, expressed at lower levels with larger number of exons, with longer isoform/coding sequence lengths. Most novel isoforms utilize an alternate first exon, and compared to other alternative splicing categories are expressed at higher levels and exhibit higher variability. Collectively, we observe alternate promoter usage in 25% of detected genes, with the majority (84.2%) of known/novel promoter pairs exhibiting potential changes in their coding sequences. Mapping these alternate promoters to TCGA GC samples, we identify several cancer-associated isoforms, including novel variants of oncogenes. Tumor-specific transcript isoforms tend to alter protein coding sequences to a larger extent than other isoforms. Analysis of outcome data suggests that novel isoforms may impart additional prognostic information. Our results provide a rich resource of full-length transcriptome data for deeper studies of GC and other gastrointestinal malignancies.
2021-02-02 | PXD023373 | Pride