A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters

Deniz Demircioğlu1, Engin Cukuroglu2, Martin Kindermans2

  • 1Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore; School of Computing, National University of Singapore, Singapore 117417, Singapore.

Cell
|September 7, 2019
PubMed

Related Concept Videos

Methods to Discover Alternative Promoter Usage and Transcriptional Regulation of Murine Bcrp111:02

Methods to Discover Alternative Promoter Usage and Transcriptional Regulation of Murine Bcrp1

With the murine ABC transporter Bcrp1 (Abcg2) as an example, in-silico protocols are presented to detect alternative promoter usage in genes expressed in mouse tissues, and to evaluate the functionality of the alternative promoters identified using reporter...
8.5K
Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker07:47

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Here, a protocol is presented in which multiple bioinformatic tools are combined to study the biological functions of TMEM200A in cancer. In addition, we also experimentally validate the bioinformatics...
2.2K
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Herein we propose a strategy to study the effect of a transcription factor of interest on the microRNA transcriptome using publically available data, computational resources and high throughput data from microRNA arrays after transfecting cells with small hairpin (sh)RNA targeting a transcription factor of interest.
8.9K
Analysis of the c-KIT Ligand Promoter Using Chromatin Immunoprecipitation09:40

Analysis of the c-KIT Ligand Promoter Using Chromatin Immunoprecipitation

DNA-protein interactions are essential for multiple biological processes. During the evaluation of cellular functions, the analysis of DNA-protein interactions is indispensable for understanding gene regulation. Chromatin immunoprecipitation (ChIP) is a powerful tool to analyze such interactions in...
8.3K
Revealing the Ferroptotic Phenotype of Medulloblastoma04:01

Revealing the Ferroptotic Phenotype of Medulloblastoma

Lipid hydroperoxide content represents the most commonly used indicator of ferroptotic cell death. This article demonstrates the step-by-step flow cytometry analysis of lipid hydroperoxide content in cells upon ferroptosis...
1.8K
A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae10:18

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae

This manuscript describes the use of state-of-the-art technology provided by DNA-microarrays. Microarrays provide an overview of the transcriptomic changes in bacteria incurred under a specific condition. Moreover, we highlight the ease by which large amounts of data can be analyzed by using convenient in-house developed software packages.
10.7K