Literature DB >> 9434125

In search of differentially expressed genes and proteins.

I Vietor1, L A Huber.   

Abstract

A great challenge for modern cell biology is the successful examination of the co-expression of thousands of genes under physiological or pathological conditions and how the expression patterns define the different states of a single cell, tissue or a microorganism. Gene expression can be analyzed today on a large scale by advanced technical approaches for differential screening of proteins and mRNAs. The identification of differentially expressed mRNAs has been successfully applied to understand gene function and the underlying molecular mechanism(-s) of differentiation, development and disease state. Analysis of gene expression by the systematic mapping of thousands of proteins present in a cell or tissue can be achieved by the use of two-dimensional (2D) gel electrophoresis, quantitative computer image analysis, and protein identification techniques. In this article, we comment on some of these techniques and try to stress their advantages and drawbacks. We show how data from RNA/DNA mapping, sequence information from genome projects and protein pattern profiling can be linked with each other and annotated. These comprehensive approaches permit the study of differential gene and protein expressions in cells or tissues.

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Year:  1997        PMID: 9434125     DOI: 10.1016/s0167-4889(97)00111-0

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  2 in total

1.  High-resolution quantification of specific mRNA levels in human brain autopsies and biopsies.

Authors:  A Castensson; L Emilsson; P Preece; E E Jazin
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

2.  Five Novel Oncogenic Signatures Could Be Utilized as AFP-Related Diagnostic Biomarkers for Hepatocellular Carcinoma Based on Next-Generation Sequencing.

Authors:  Zheng Yu; Rongchang Wang; Fan Chen; Jianru Wang; Xiaohui Huang
Journal:  Dig Dis Sci       Date:  2018-02-13       Impact factor: 3.199

  2 in total

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