Literature DB >> 30980500

Improved Methodology for Sensitive and Rapid Quantitative Proteomic Analysis of Adult-Derived Mouse Microglia: Application to a Novel In Vitro Mouse Microglial Cell Model.

Jennifer Guergues1,2, Ping Zhang3, Bin Liu3, Stanley M Stevens2.   

Abstract

Microglia, as the resident brain immune cells, can exhibit a broad range of activation phenotypes, which have been implicated in a multitude of central nervous system disorders. Current widely studied microglial cell lines are mainly derived from neonatal rodent brain that can limit their relevance to homeostatic function and disease-related neuroimmune responses in the adult brain. Recently, an adult mouse brain-derived microglial cell line has been established; however, a comprehensive proteome dataset remains lacking. Here, an optimization method for sensitive and rapid quantitative proteomic analysis of microglia is described that involves suspension trapping (S-Trap) for efficient and reproducible protein extraction from a limited number of microglial cells expected from an adult mouse brain (≈300 000). Using a 2-h gradient on a 75-cm UPLC column with a modified data dependent acquisition method on a hybrid quadrupole-Orbitrap mass spectrometer, 4855 total proteins have been identified where 4698 of which are quantifiable by label-free quantitation with a median and average coefficient of variation (CV) of 6.7% and 10.6%, respectively. This dataset highlights the high depth of proteome coverage and related quantitation precision of the adult-derived microglial proteome including proteins associated with several key pathways related to immune response. Data are available via ProteomeXchange with identifier PXD012006.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  IMG; glia; microglia; neuroinflammation; proteomics

Mesh:

Substances:

Year:  2019        PMID: 30980500      PMCID: PMC7004412          DOI: 10.1002/pmic.201800469

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


  23 in total

1.  S-Trap, an Ultrafast Sample-Preparation Approach for Shotgun Proteomics.

Authors:  Milkessa HaileMariam; Rodrigo Vargas Eguez; Harinder Singh; Shiferaw Bekele; Gobena Ameni; Rembert Pieper; Yanbao Yu
Journal:  J Proteome Res       Date:  2018-08-28       Impact factor: 4.466

2.  Quantitative proteomic characterization of ethanol-responsive pathways in rat microglial cells.

Authors:  Harris Bell-Temin; Ping Zhang; Dale Chaput; Michael A King; Min You; Bin Liu; Stanley M Stevens
Journal:  J Proteome Res       Date:  2013-04-03       Impact factor: 4.466

3.  Suspension trapping (STrap) sample preparation method for bottom-up proteomics analysis.

Authors:  Alexandre Zougman; Peter J Selby; Rosamonde E Banks
Journal:  Proteomics       Date:  2014-03-26       Impact factor: 3.984

4.  Immortalization of murine microglial cells by a v-raf/v-myc carrying retrovirus.

Authors:  E Blasi; R Barluzzi; V Bocchini; R Mazzolla; F Bistoni
Journal:  J Neuroimmunol       Date:  1990-05       Impact factor: 3.478

Review 5.  Microglia in Physiology and Disease.

Authors:  Susanne A Wolf; H W G M Boddeke; Helmut Kettenmann
Journal:  Annu Rev Physiol       Date:  2016-12-07       Impact factor: 19.318

Review 6.  Microglia emerge as central players in brain disease.

Authors:  Michael W Salter; Beth Stevens
Journal:  Nat Med       Date:  2017-09-08       Impact factor: 53.440

7.  Opposing Functions of Microglial and Macrophagic TNFR2 in the Pathogenesis of Experimental Autoimmune Encephalomyelitis.

Authors:  Han Gao; Matt C Danzi; Claire S Choi; Mehran Taherian; Camilla Dalby-Hansen; Ditte G Ellman; Pernille M Madsen; John L Bixby; Vance P Lemmon; Kate L Lambertsen; Roberta Brambilla
Journal:  Cell Rep       Date:  2017-01-03       Impact factor: 9.423

8.  Distinct dynamic profiles of microglial activation are associated with progression of Alzheimer's disease.

Authors:  Lorraine Hamelin; Julien Lagarde; Guillaume Dorothée; Marie Claude Potier; Fabian Corlier; Bertrand Kuhnast; Fabien Caillé; Bruno Dubois; Ludovic Fillon; Marie Chupin; Michel Bottlaender; Marie Sarazin
Journal:  Brain       Date:  2018-06-01       Impact factor: 13.501

9.  Proteomic anaysis of aged microglia: shifts in transcription, bioenergetics, and nutrient response.

Authors:  Antwoine Flowers; Harris Bell-Temin; Ahmad Jalloh; Stanley M Stevens; Paula C Bickford
Journal:  J Neuroinflammation       Date:  2017-05-03       Impact factor: 8.322

10.  The microglial sensome revealed by direct RNA sequencing.

Authors:  Suzanne E Hickman; Nathan D Kingery; Toshiro K Ohsumi; Mark L Borowsky; Li-chong Wang; Terry K Means; Joseph El Khoury
Journal:  Nat Neurosci       Date:  2013-10-27       Impact factor: 24.884

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  4 in total

1.  A sensitive S-Trap-based approach to the analysis of T cell lipid raft proteome.

Authors:  Cerina Chhuon; Shao-Yu Zhang; Vincent Jung; Daniel Lewandowski; Joanna Lipecka; André Pawlak; Dil Sahali; Mario Ollero; Ida Chiara Guerrera
Journal:  J Lipid Res       Date:  2020-08-07       Impact factor: 5.922

2.  Global miRNA/proteomic analyses identify miRNAs at 14q32 and 3p21, which contribute to features of chronic iron-exposed fallopian tube epithelial cells.

Authors:  Ravneet Chhabra; Stephanie Rockfield; Jennifer Guergues; Owen W Nadeau; Robert Hill; Stanley M Stevens; Meera Nanjundan
Journal:  Sci Rep       Date:  2021-03-18       Impact factor: 4.379

3.  Deep proteome profiling reveals novel pathways associated with pro-inflammatory and alcohol-induced microglial activation phenotypes.

Authors:  Jennifer Guergues; Jessica Wohlfahrt; Ping Zhang; Bin Liu; Stanley M Stevens
Journal:  J Proteomics       Date:  2020-03-18       Impact factor: 4.044

4.  Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer's disease.

Authors:  Sruti Rayaprolu; Tianwen Gao; Hailian Xiao; Supriya Ramesha; Laura D Weinstock; Jheel Shah; Duc M Duong; Eric B Dammer; James A Webster; James J Lah; Levi B Wood; Ranjita Betarbet; Allan I Levey; Nicholas T Seyfried; Srikant Rangaraju
Journal:  Mol Neurodegener       Date:  2020-05-07       Impact factor: 14.195

  4 in total

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