Transcriptomics

Dataset Information

0

Next Generation Sequencing Facilitates Quantitative Analysis of control, NDEA, NDEA + CFT-1 and NDEA+FYT Transcriptomes


ABSTRACT: Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling (RNA-seq) between treatment and control model samples. Results: Using the RNA-seq analysis workflow, we mapped about an average of 80 million sequence reads per sample to the rat genome (Rnor_6.0) and identified 34,194 transcripts. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE126796 | GEO | 2022/01/30

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-07-05 | E-GEOD-83992 | biostudies-arrayexpress
2021-11-09 | GSE138700 | GEO
2021-05-04 | GSE169348 | GEO
2022-12-13 | GSE142251 | GEO
2019-01-15 | GSE123780 | GEO
2018-09-25 | GSE120364 | GEO
2024-06-07 | GSE176264 | GEO
2021-06-24 | GSE178725 | GEO
2023-04-04 | GSE192518 | GEO
2014-07-03 | E-GEOD-59017 | biostudies-arrayexpress