Literature DB >> 16196099

Bridging proteomics and systems biology: what are the roads to be traveled?

Serhiy Souchelnytskyi1.   

Abstract

The comprehensive study of proteomes has become an important part of attempts to uncover the systemic properties of biological systems. Proteomics provides data of a quality which increasingly fulfills strict requirements of systems biology for quantitative and qualitative information. Notably, proteomics can generate rich datasets that describe dynamic changes of proteomes. On the other hand, large-scale modeling requires the development of mathematic tools that are adequate for the processing of largely uncertain biological data. In this review, recent developments that pave the way for the integration of proteomics into systems biology are discussed. These developments include the standardization of data acquisition and presentation, the increased comprehensiveness of proteomics studies in description of functional status, localization and dynamics of proteins, and advanced modeling approaches.

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Year:  2005        PMID: 16196099     DOI: 10.1002/pmic.200500135

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  11 in total

Review 1.  Protein abundance ratios for global studies of prokaryotes.

Authors:  Qiangwei Xia; Erik L Hendrickson; Tiansong Wang; Richard J Lamont; John A Leigh; Murray Hackett
Journal:  Proteomics       Date:  2007-08       Impact factor: 3.984

2.  LC-MS Based Detection of Differential Protein Expression.

Authors:  Leepika Tuli; Habtom W Ressom
Journal:  J Proteomics Bioinform       Date:  2009-10-02

3.  Comprehensive proteomics of Methylobacterium extorquens AM1 metabolism under single carbon and nonmethylotrophic conditions.

Authors:  Gundula Bosch; Elizabeth Skovran; Qiangwei Xia; Tiansong Wang; Fred Taub; Jonathan A Miller; Mary E Lidstrom; Murray Hackett
Journal:  Proteomics       Date:  2008-09       Impact factor: 3.984

4.  Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis.

Authors:  Sandra Maaβ; Gerhild Wachlin; Jörg Bernhardt; Christine Eymann; Vincent Fromion; Katharina Riedel; Dörte Becher; Michael Hecker
Journal:  Mol Cell Proteomics       Date:  2014-05-30       Impact factor: 5.911

Review 5.  Toxoplasma gondii proteomics.

Authors:  Louis M Weiss; Andras Fiser; Ruth Hogue Angeletti; Kami Kim
Journal:  Expert Rev Proteomics       Date:  2009-06       Impact factor: 3.940

6.  Comprehensive absolute quantification of the cytosolic proteome of Bacillus subtilis by data independent, parallel fragmentation in liquid chromatography/mass spectrometry (LC/MS(E)).

Authors:  Jan Muntel; Vincent Fromion; Anne Goelzer; Sandra Maaβ; Ulrike Mäder; Knut Büttner; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2014-01-31       Impact factor: 5.911

7.  Acquisition of Invasiveness by Breast Adenocarcinoma Cells Engages Established Hallmarks and Novel Regulatory Mechanisms.

Authors:  Hanaa Mousa; Mahmoud Elgamal; Reham Ghazal Marei; Nazariy Souchelnytskyi; Kah-Wai Lin; Serhiy Souchelnytskyi
Journal:  Cancer Genomics Proteomics       Date:  2019 Nov-Dec       Impact factor: 4.069

8.  A role of TGFß1 dependent 14-3-3σ phosphorylation at Ser69 and Ser74 in the regulation of gene transcription, stemness and radioresistance.

Authors:  Olena Zakharchenko; Monica Cojoc; Anna Dubrovska; Serhiy Souchelnytskyi
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

9.  Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers.

Authors:  S Attarha; S Andersson; M Mints; S Souchelnytskyi
Journal:  Br J Cancer       Date:  2013-07-09       Impact factor: 7.640

10.  Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways.

Authors:  Alexander Mitsos; Ioannis N Melas; Melody K Morris; Julio Saez-Rodriguez; Douglas A Lauffenburger; Leonidas G Alexopoulos
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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