https://febs.onlinelibrary.wiley.com/doi/pdf/10.1016/j.febslet.2009.10.036

Correlation of mRNA and protein in complex biological samples

Cellular states are determined by differential expression of the cell’s proteins. The relationship between protein and mRNA expression levels informs about the combined outcomes of translation and protein degradation which are, in addition to transcription and mRNA stability, essential contributors to gene expression regulation. This review summarizes the state of knowledge about large-scale measurements of absolute protein and mRNA expression levels, and the degree of correlation between the two parameters. We summarize the information that can be derived from comparison of protein and mRNA expression levels and discuss how corresponding sequence characteristics suggest modes of regulation.

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Global signatures of protein and mRNA expression levels

In this age of modern era, the use of internet must be maximized. Yeah, internet will help us very much not only for important thing but also for daily activities. Many people now, from any level can use internet. The sources of internet connection can also be enjoyed in many places. As one of the benefits is to get the on-line analysis of human genetic linkage book, as the world window, as many people suggest.

Analysis of human genetic linkage

Interpretation of Shotgun Proteomic Data The Protein Inference Problem

Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.

Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells

High-throughput screening (HTS) plays a central role in modern drug discovery, allowing the rapid screening of large compound collections against a variety of putative drug targets. HTS is an industrial-scale process, relying on sophisticated auto mation, control, and state-of-the art detection technologies to organize, test, and measure hundreds of thousands to millions of compounds in nano-to microliter volumes. Despite this high technology, hit selection for HTS is still typically done using simple data analysis and basic statistical methods. The authors discuss in this article some shortcomings of these methods and present alternatives based on modern methods of statistical data analysis. Most important, they describe and show numerous real examples from the biologist-friendly Stat Server® HTS application (SHS), a custom-developed software tool built on the commercially available S-PLUS® and StatServer® statistical analysis and server software. This system remotely processes HTS data using powerful an...

Improved Statistical Methods for Hit Selection in High-Throughput Screening:

High-throughput screening (HTS) is used in modern drug discovery to screen hundreds of thousands to millions of compounds on selected protein targets. It is an industrial-scale process relying on s...

Statistical and Graphical Methods for Quality Control Determination of High-Throughput Screening Data

Expression of Cosmid-Size DNA of Slow-Growing Fungi in Aspergillus Nidulans for Secondary Metabolite Screening

eds. H.-J. Lenz and P.-Th. Wilrich, Heidelberg, Germany: SpringerVeriag, 208-228. Stoumbos, Z. G., and Reynolds, M. R., Jr. (1997), “Control Charts Applying a Sequential Test at Fixed Sampling Intervals,” Journal of Quality Technology, 29, 2140. (2000a), “The SPRT Control Chart for the Process Mean With Samples Starting at Fixed Times,” Nonlinear Analysis, (to appear). (2000b), “Robustness to Non-Normality and Autocorrelation of Individual Control Charts,” Journal of Statistical Computation and Simulation, Special Issue on Statistics: Modeling of Processes in Science and Industry, 66, 145-187. Tagaras, G. (1998), “A Survey of Recent Developments in the Design of Adaptive Control Charts,” Journal of Quality Technology, 30, 21 2-23 1. Tsung, F., Shi, J., and Wu, C. F. J. (1999), “Joint Monitoring of PIDControlled Processes,” Journal of Quality Technology, 31, 275-285. Woodall, W. H. (1986), “Weaknesses of the Economic Design of Control Charts” (letter to the editor), Technometrics, 28, 408-410. Woodall, W. H., and Montgomery, D. C. (1999), “Research Issues and Ideas in Statistical Process Control,” Journal of Quality Technology, 31,

Bert Gunter

Papers

Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells

Improved Statistical Methods for Hit Selection in High-Throughput Screening:

Statistical and Graphical Methods for Quality Control Determination of High-Throughput Screening Data

Expression of Cosmid-Size DNA of Slow-Growing Fungi in Aspergillus Nidulans for Secondary Metabolite Screening

Statistics in Preclinical Pharmaceutical Research and Development