Literature DB >> 32235894

Proteomic and interactomic insights into the molecular basis of cell functional diversity.

Isabell Bludau1,2, Ruedi Aebersold3,4.   

Abstract

The ability of living systems to adapt to changing conditions originates from their capacity to change their molecular constitution. This is achieved by multiple mechanisms that modulate the quantitative composition and the diversity of the molecular inventory. Molecular diversification is particularly pronounced on the proteome level, at which multiple proteoforms derived from the same gene can in turn combinatorially form different protein complexes, thus expanding the repertoire of functional modules in the cell. The study of molecular and modular diversity and their involvement in responses to changing conditions has only recently become possible through the development of new 'omics'-based screening technologies. This Review explores our current knowledge of the mechanisms regulating functional diversification along the axis of gene expression, with a focus on the proteome and interactome. We explore the interdependence between different molecular levels and how this contributes to functional diversity. Finally, we highlight several recent techniques for studying molecular diversity, with specific focus on mass spectrometry-based analysis of the proteome and its organization into functional modules, and examine future directions for this rapidly growing field.

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Year:  2020        PMID: 32235894     DOI: 10.1038/s41580-020-0231-2

Source DB:  PubMed          Journal:  Nat Rev Mol Cell Biol        ISSN: 1471-0072            Impact factor:   94.444


  123 in total

1.  From molecular to modular cell biology.

Authors:  L H Hartwell; J J Hopfield; S Leibler; A W Murray
Journal:  Nature       Date:  1999-12-02       Impact factor: 49.962

2.  Genetic Control of Biochemical Reactions in Neurospora.

Authors:  G W Beadle; E L Tatum
Journal:  Proc Natl Acad Sci U S A       Date:  1941-11-15       Impact factor: 11.205

3.  Network news: innovations in 21st century systems biology.

Authors:  Adam P Arkin; David V Schaffer
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

4.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

Review 5.  Phenotype databases for genetic screens in human cells.

Authors:  Benedikt Rauscher; Erica Valentini; Ulrike Hardeland; Michael Boutros
Journal:  J Biotechnol       Date:  2017-06-16       Impact factor: 3.307

6.  A new face and new challenges for Online Mendelian Inheritance in Man (OMIM®).

Authors:  Joanna Amberger; Carol Bocchini; Ada Hamosh
Journal:  Hum Mutat       Date:  2011-04-05       Impact factor: 4.878

Review 7.  Genotype to phenotype via network analysis.

Authors:  Hannah Carter; Matan Hofree; Trey Ideker
Journal:  Curr Opin Genet Dev       Date:  2013-11-14       Impact factor: 5.578

8.  Immunogenetics. Dynamic profiling of the protein life cycle in response to pathogens.

Authors:  Marko Jovanovic; Michael S Rooney; Philipp Mertins; Dariusz Przybylski; Nicolas Chevrier; Rahul Satija; Edwin H Rodriguez; Alexander P Fields; Schraga Schwartz; Raktima Raychowdhury; Maxwell R Mumbach; Thomas Eisenhaure; Michal Rabani; Dave Gennert; Diana Lu; Toni Delorey; Jonathan S Weissman; Steven A Carr; Nir Hacohen; Aviv Regev
Journal:  Science       Date:  2015-02-12       Impact factor: 47.728

9.  System wide analyses have underestimated protein abundances and the importance of transcription in mammals.

Authors:  Jingyi Jessica Li; Peter J Bickel; Mark D Biggin
Journal:  PeerJ       Date:  2014-02-27       Impact factor: 2.984

10.  Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.

Authors:  Samuel Marguerat; Alexander Schmidt; Sandra Codlin; Wei Chen; Ruedi Aebersold; Jürg Bähler
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  37 in total

1.  Collision Cross Sections for Native Proteomics: Challenges and Opportunities.

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Journal:  J Proteome Res       Date:  2021-11-30       Impact factor: 4.466

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Review 3.  Renal microvascular endothelial cell responses in sepsis-induced acute kidney injury.

Authors:  Grietje Molema; Jan G Zijlstra; Matijs van Meurs; Jan A A M Kamps
Journal:  Nat Rev Nephrol       Date:  2021-10-19       Impact factor: 28.314

Review 4.  Proteomic/transcriptomic analysis of erythropoiesis.

Authors:  Marjorie Brand; Jeffrey A Ranish
Journal:  Curr Opin Hematol       Date:  2021-05-01       Impact factor: 3.284

5.  PCprophet: a framework for protein complex prediction and differential analysis using proteomic data.

Authors:  Andrea Fossati; Chen Li; Federico Uliana; Fabian Wendt; Fabian Frommelt; Peter Sykacek; Moritz Heusel; Mahmoud Hallal; Isabell Bludau; Tümay Capraz; Peng Xue; Jiangning Song; Bernd Wollscheid; Anthony W Purcell; Matthias Gstaiger; Ruedi Aebersold
Journal:  Nat Methods       Date:  2021-04-15       Impact factor: 28.547

Review 6.  Revealing functional insights into ER proteostasis through proteomics and interactomics.

Authors:  Madison T Wright; Lars Plate
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Review 7.  Platelet Proteomes, Pathways, and Phenotypes as Informants of Vascular Wellness and Disease.

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8.  Short loop functional commonality identified in leukaemia proteome highlights crucial protein sub-networks.

Authors:  Sun Sook Chung; Joseph C F Ng; Anna Laddach; N Shaun B Thomas; Franca Fraternali
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9.  Endometrium On-a-Chip Reveals Insulin- and Glucose-induced Alterations in the Transcriptome and Proteomic Secretome.

Authors:  Tiago H C De Bem; Haidee Tinning; Elton J R Vasconcelos; Dapeng Wang; Niamh Forde
Journal:  Endocrinology       Date:  2021-06-01       Impact factor: 4.736

10.  Systematic detection of functional proteoform groups from bottom-up proteomic datasets.

Authors:  Isabell Bludau; Max Frank; Christian Dörig; Yujia Cai; Moritz Heusel; George Rosenberger; Paola Picotti; Ben C Collins; Hannes Röst; Ruedi Aebersold
Journal:  Nat Commun       Date:  2021-06-21       Impact factor: 14.919

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