Literature DB >> 29125683

Organellar Omics-A Reviving Strategy to Untangle the Biomolecular Complexity of the Cell.

Arun Kumar Tharkeshwar1,2,3, Kris Gevaert4,5, Wim Annaert1,2.   

Abstract

A eukaryotic cell encompasses many membrane-enclosed organelles, each of these holding several types of biomolecules that exhibit tremendous diversity in terms of their localization and expression. Despite the development of increasingly sensitive analytical tools, the enormous biomolecular complexity that exists within a cell cannot yet be fully resolved as low abundant molecules often remain unrecognized. Moreover, a drawback of whole cell analysis is that it does not provide spatial information and therefore it is not capable of assigning distinct biomolecules to specific compartments or analyzing changes in the composition of these compartments. Reduction of the biomolecular complexity of a sample helps to identify low abundant molecules, but such a reductionist approach requires methods that enable proper isolation and purification of individual cellular organelles. Decades of research have led to the development of a plethora of isolation methods for a broad range of subcellular organelles; yet, in particular, intrinsically dynamic compartments belonging to the endocytic machinery, including the plasma membrane, remain difficult to isolate in a sufficiently pure fraction. In this review, we discuss various methods that are commonly used to isolate subcellular organelles from cells and evaluate their advantages and disadvantages.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  lysosomes; plasma membrane; proteomics; subcellular omics; superparamagnetic iron oxide nanoparticles

Mesh:

Substances:

Year:  2017        PMID: 29125683     DOI: 10.1002/pmic.201700113

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


  11 in total

Review 1.  The emerging role of mass spectrometry-based proteomics in drug discovery.

Authors:  Felix Meissner; Jennifer Geddes-McAlister; Matthias Mann; Marcus Bantscheff
Journal:  Nat Rev Drug Discov       Date:  2022-03-29       Impact factor: 112.288

Review 2.  Lyso-IP: Uncovering Pathogenic Mechanisms of Lysosomal Dysfunction.

Authors:  Chase Chen; Ellen Sidransky; Yu Chen
Journal:  Biomolecules       Date:  2022-04-21

Review 3.  The many lives of KATs - detectors, integrators and modulators of the cellular environment.

Authors:  Bilal N Sheikh; Asifa Akhtar
Journal:  Nat Rev Genet       Date:  2019-01       Impact factor: 53.242

Review 4.  Protein Interaction Network Biology in Neuroscience.

Authors:  Avik Basu; Peter Ea Ash; Benjamin Wolozin; Andrew Emili
Journal:  Proteomics       Date:  2020-12-29       Impact factor: 3.984

5.  TRANSPIRE: A Computational Pipeline to Elucidate Intracellular Protein Movements from Spatial Proteomics Data Sets.

Authors:  Michelle A Kennedy; William A Hofstadter; Ileana M Cristea
Journal:  J Am Soc Mass Spectrom       Date:  2020-05-29       Impact factor: 3.262

Review 6.  Endo-lysosomal dysregulations and late-onset Alzheimer's disease: impact of genetic risk factors.

Authors:  Zoë P Van Acker; Marine Bretou; Wim Annaert
Journal:  Mol Neurodegener       Date:  2019-06-03       Impact factor: 14.195

7.  Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics.

Authors:  Aikaterini Geladaki; Nina Kočevar Britovšek; Lisa M Breckels; Tom S Smith; Owen L Vennard; Claire M Mulvey; Oliver M Crook; Laurent Gatto; Kathryn S Lilley
Journal:  Nat Commun       Date:  2019-01-18       Impact factor: 14.919

8.  Superparamagnetic Nanoparticles for Lysosome Isolation to Identify Spatial Alterations in Lysosomal Protein and Lipid Composition.

Authors:  Arun Kumar Tharkeshwar; David Demedts; Wim Annaert
Journal:  STAR Protoc       Date:  2020-10-09

Review 9.  Deliver on Time or Pay the Fine: Scheduling in Membrane Trafficking.

Authors:  Giampaolo Placidi; Carlo C Campa
Journal:  Int J Mol Sci       Date:  2021-10-29       Impact factor: 5.923

Review 10.  Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.

Authors:  Josie A Christopher; Aikaterini Geladaki; Charlotte S Dawson; Owen L Vennard; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2021-12-16       Impact factor: 5.911

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