Transcriptomics

Dataset Information

0

Next-Generation Sequencing for Whole Transcriptome Analysis in Scrambled Control and EGFR Knockdown Cells Cultured under Normoxia and Hypoxia


ABSTRACT: Purpose: The goal of this study is to identify the mRNA clusters that are regulated by EGFR under normoxia or hypoxia. Method: Total RNAs were extracted from HeLa cells expressing scrambled control or EGFR shRNA-E1 that cultured under normoxia or hypoxia (1% O2) for 24h. Customized Next-Generation RNA Deep Sequencing, including both small RNA application and whole transcriptome analysis, was performed according to the standard procedure instructed by Applied Biosystems. For whole transcriptome analysis, SOLiD fragment colorspace transcriptome reads (50nt) were mapped to the human genome (hg19) and assigned to ensemble transcripts using Bioscope 1.3.1 (Life Technologies). The values of reads per kilobase per million reads (RPKM) were determined by Bioscope 1.3.1 CountTags tool using default parameters. Primary alignments with a minimum mapping quality of 10 and minimum alignment score of 10 were counted. Results: Deep sequencing analysis identified subclasses of mRNAs that were affected by EGFR either under normoxia or hypoxia. EGFR-regulated mRNAs (with Log2 fold-change affected by EGFR ≥ 0.4 or ≤ -0.4) were sorted and over-lapped with mRNAs that were targeted (based on published data and TargetScan prediction with total context score ≤ -0.20) by the top miRNA candidates affected by EGFR under hypoxia, resulting in 439 mRNAs that regulated by EGFR and likely targeted by the miRNA candidates in response to hypoxia. Conclusion: Whole transcriptome analysis revealed a novel cluster of mRNAs that are likely regulated by EGFR through miRNAs in response to hypoxic stress.

ORGANISM(S): Homo sapiens

PROVIDER: GSE44801 | GEO | 2013/10/01

SECONDARY ACCESSION(S): PRJNA191817

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2013-10-01 | E-GEOD-44801 | biostudies-arrayexpress
2013-10-01 | E-GEOD-44802 | biostudies-arrayexpress
2013-10-01 | GSE44802 | GEO
2019-09-06 | GSE136907 | GEO
2022-01-10 | GSE185586 | GEO
2024-02-07 | GSE246615 | GEO
2024-02-07 | GSE246614 | GEO
2022-07-01 | GSE184741 | GEO
| PRJNA191816 | ENA
2021-01-21 | GSE125402 | GEO