About: Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity
Creator	Chandramouli, Kondethimmanahalli Qian, Pei-Yuan
Source	PMC
abstract	Proteomics is the large-scale study of the structure and function of proteins in complex biological sample. Such an approach has the potential value to understand the complex nature of the organism. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of proteome. Advances in protein fractionation and labeling techniques have improved protein identification to include the least abundant proteins. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. However, the major limitation of proteomic investigations remains the complexity of biological structures and physiological processes, rendering the path of exploration paved with various difficulties and pitfalls. The quantity of data that is acquired with new techniques places new challenges on data processing and analysis. This article provides a brief overview of currently available proteomic techniques and their applications, followed by detailed description of advantages and technical challenges. Some solutions to circumvent technical difficulties are proposed.
has issue date	2009-12-08(xsd:dateTime)
bibo:doi	10.4061/2009/239204
bibo:pmid	20948568
has license	no-cc
sha1sum (hex)	8c593d726094e8a047376050bd28806e371a2797
schema:url	https://doi.org/10.4061/2009/239204
resource representing a document's title	Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity
has PubMed Central identifier	PMC2950283
has PubMed identifier	20948568
schema:publication	Hum Genomics Proteomics
resource representing a document's body	covid:8c593d726094e8a047376050bd28806e371a2797#body_text
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