Literature DB >> 24753479

Proteomic analysis of mouse astrocytes and their secretome by a combination of FASP and StageTip-based, high pH, reversed-phase fractionation.

Dohyun Han1, Jonghwa Jin, Jongmin Woo, Hophil Min, Youngsoo Kim.   

Abstract

Astrocytes are the most abundant cells in the CNS, but their function remains largely unknown. Characterization of the whole-cell proteome and secretome in astrocytes would facilitate the study of their functions in various neurodegenerative diseases and astrocyte-neuron communication. To build a reference proteome, we established a C8-D1A astrocyte proteome to a depth of 7265 unique protein groups using a novel strategy that combined two-step digestion, filter-aided sample preparation, StageTip-based high pH fractionation, and high-resolution MS. Nearly, 6000 unique protein groups were identified from conditioned media of astrocyte cultures, constituting the largest astrocyte secretome that has been reported. High-confidence whole-cell proteomes and secretomes are valuable resources in studying astrocyte function by label-free quantitation and bioinformatics analysis. All MS data have been deposited in the ProteomeXchange with identifier PXD000501 (http://proteomecentral.proteomexchange.org/dataset/PXD000501).
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Astrocyte; High pH fractionation; LC-MS/MS; Proteome profile; Secretome; Technology

Mesh:

Substances:

Year:  2014        PMID: 24753479     DOI: 10.1002/pmic.201300495

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


  30 in total

1.  Sample preparation protocol for bottom-up proteomic analysis of the secretome of the islets of Langerhans.

Authors:  Andrew Schmudlach; Jeremy Felton; Cynthia Cipolla; Liangliang Sun; Robert T Kennedy; Norman J Dovichi
Journal:  Analyst       Date:  2016-03-07       Impact factor: 4.616

2.  Quantitative Proteomic Analysis Identifies AHNAK (Neuroblast Differentiation-associated Protein AHNAK) as a Novel Candidate Biomarker for Bladder Urothelial Carcinoma Diagnosis by Liquid-based Cytology.

Authors:  Hyebin Lee; Kwangsoo Kim; Jongmin Woo; Joonho Park; Hyeyoon Kim; Kyung Eun Lee; Hyeyeon Kim; Youngsoo Kim; Kyung Chul Moon; Ji Young Kim; In Ae Park; Bo Bae Shim; Ji Hye Moon; Dohyun Han; Han Suk Ryu
Journal:  Mol Cell Proteomics       Date:  2018-06-27       Impact factor: 5.911

3.  Quick 96FASP for high throughput quantitative proteome analysis.

Authors:  Yanbao Yu; Shiferaw Bekele; Rembert Pieper
Journal:  J Proteomics       Date:  2017-06-29       Impact factor: 4.044

4.  Pancreatic Tissue Proteomics Unveils Key Proteins, Pathways, and Networks Associated with Type 1 Diabetes.

Authors:  Jongmin Woo; Putty-Reddy Sudhir; Qibin Zhang
Journal:  Proteomics Clin Appl       Date:  2020-10-14       Impact factor: 3.494

5.  Developmental alcohol exposure leads to a persistent change on astrocyte secretome.

Authors:  Pablo Trindade; Brian Hampton; Alex C Manhães; Alexandre E Medina
Journal:  J Neurochem       Date:  2016-02-15       Impact factor: 5.372

6.  Efficient Microscale Basic Reverse Phase Peptide Fractionation for Global and Targeted Proteomics.

Authors:  Hyoung-Joo Lee; Hye-Jung Kim; Daniel C Liebler
Journal:  J Proteome Res       Date:  2016-06-13       Impact factor: 4.466

7.  A large portion of the astrocyte proteome is dedicated to perivascular endfeet, including critical components of the electron transport chain.

Authors:  Jesse A Stokum; Bosung Shim; Weiliang Huang; Maureen Kane; Jesse A Smith; Volodymyr Gerzanich; J Marc Simard
Journal:  J Cereb Blood Flow Metab       Date:  2021-04-04       Impact factor: 6.200

8.  Monitoring Astrocytic Proteome Dynamics by Cell Type-Specific Protein Labeling.

Authors:  Anke Müller; Anne Stellmacher; Christine E Freitag; Peter Landgraf; Daniela C Dieterich
Journal:  PLoS One       Date:  2015-12-21       Impact factor: 3.240

9.  Proteome-wide lysine acetylation in cortical astrocytes and alterations that occur during infection with brain parasite Toxoplasma gondii.

Authors:  Anne Bouchut; Aarti R Chawla; Victoria Jeffers; Andy Hudmon; William J Sullivan
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

10.  Crosstalk between glial and glioblastoma cells triggers the "go-or-grow" phenotype of tumor cells.

Authors:  Ana Isabel Oliveira; Sandra I Anjo; Joana Vieira de Castro; Sofia C Serra; António J Salgado; Bruno Manadas; Bruno M Costa
Journal:  Cell Commun Signal       Date:  2017-10-02       Impact factor: 5.712

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