Literature DB >> 23810203

Human housekeeping genes, revisited.

Eli Eisenberg1, Erez Y Levanon.   

Abstract

Housekeeping genes are involved in basic cell maintenance and, therefore, are expected to maintain constant expression levels in all cells and conditions. Identification of these genes facilitates exposure of the underlying cellular infrastructure and increases understanding of various structural genomic features. In addition, housekeeping genes are instrumental for calibration in many biotechnological applications and genomic studies. Advances in our ability to measure RNA expression have resulted in a gradual increase in the number of identified housekeeping genes. Here, we describe housekeeping gene detection in the era of massive parallel sequencing and RNA-seq. We emphasize the importance of expression at a constant level and provide a list of 3804 human genes that are expressed uniformly across a panel of tissues. Several exceptionally uniform genes are singled out for future experimental use, such as RT-PCR control genes. Finally, we discuss both ways in which current technology can meet some of past obstacles encountered, and several as yet unmet challenges.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RNA-seq; gene expression patterns; housekeeping genes; internal control; next generation sequencing

Mesh:

Year:  2013        PMID: 23810203     DOI: 10.1016/j.tig.2013.05.010

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  490 in total

1.  Alu element-containing RNAs maintain nucleolar structure and function.

Authors:  Maïwen Caudron-Herger; Teresa Pankert; Jeanette Seiler; Attila Németh; Renate Voit; Ingrid Grummt; Karsten Rippe
Journal:  EMBO J       Date:  2015-10-13       Impact factor: 11.598

2.  Ancient hot and cold genes and chemotherapy resistance emergence.

Authors:  Amy Wu; Qiucen Zhang; Guillaume Lambert; Zayar Khin; Robert A Gatenby; Hyunsung John Kim; Nader Pourmand; Kimberly Bussey; Paul C W Davies; James C Sturm; Robert H Austin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

3.  Regulation of Amino Acid Transporters and Sensors in Response to a High protein Diet: A Randomized Controlled Trial in Elderly Men.

Authors:  N Zeng; U Prodhan; R F D'Souza; F Ramzan; S M Mitchell; P Sharma; S O Knowles; N C Roy; A Sjödin; K-H Wagner; A M Milan; D Cameron-Smith; C J Mitchell
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

4.  Biodosimetric transcriptional and proteomic changes are conserved in irradiated human tissue.

Authors:  Simon P Keam; Twishi Gulati; Cristina Gamell; Franco Caramia; Gisela Mir Arnau; Cheng Huang; Ralf B Schittenhelm; Oded Kleifeld; Paul J Neeson; Scott G Williams; Ygal Haupt
Journal:  Radiat Environ Biophys       Date:  2018-05-30       Impact factor: 1.925

5.  A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models.

Authors:  Sjoerd Opdam; Anne Richelle; Benjamin Kellman; Shanzhong Li; Daniel C Zielinski; Nathan E Lewis
Journal:  Cell Syst       Date:  2017-02-15       Impact factor: 10.304

6.  The core transcriptome of mammalian placentas and the divergence of expression with placental shape.

Authors:  Don L Armstrong; Michael R McGowen; Amy Weckle; Priyadarshini Pantham; Jason Caravas; Dalen Agnew; Kurt Benirschke; Sue Savage-Rumbaugh; Eviatar Nevo; Chong J Kim; Günter P Wagner; Roberto Romero; Derek E Wildman
Journal:  Placenta       Date:  2017-05-12       Impact factor: 3.481

7.  Inferring expressed genes by whole-genome sequencing of plasma DNA.

Authors:  Peter Ulz; Gerhard G Thallinger; Martina Auer; Ricarda Graf; Karl Kashofer; Stephan W Jahn; Luca Abete; Gunda Pristauz; Edgar Petru; Jochen B Geigl; Ellen Heitzer; Michael R Speicher
Journal:  Nat Genet       Date:  2016-08-29       Impact factor: 38.330

8.  Granulocyte macrophage colony-stimulating factor induces CCL17 production via IRF4 to mediate inflammation.

Authors:  Adrian Achuthan; Andrew D Cook; Ming-Chin Lee; Reem Saleh; Hsu-Wei Khiew; Melody W N Chang; Cynthia Louis; Andrew J Fleetwood; Derek C Lacey; Anne D Christensen; Ashlee T Frye; Pui Yeng Lam; Hitoshi Kusano; Koji Nomura; Nancy Steiner; Irmgard Förster; Stephen L Nutt; Moshe Olshansky; Stephen J Turner; John A Hamilton
Journal:  J Clin Invest       Date:  2016-08-15       Impact factor: 14.808

9.  mountainClimber Identifies Alternative Transcription Start and Polyadenylation Sites in RNA-Seq.

Authors:  Ashley A Cass; Xinshu Xiao
Journal:  Cell Syst       Date:  2019-09-18       Impact factor: 10.304

10.  Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data.

Authors:  Chunman Zuo; Luonan Chen
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.