TY - JOUR
T1 - Microproteomics with microfluidic-based cell sorting
T2 - Application to 1000 and 100 immune cells
AU - Kasuga, Kie
AU - Katoh, Yasutake
AU - Nagase, Keisuke
AU - Igarashi, Kazuhiko
N1 - Funding Information:
This work was supported by a Grant-in-Aid for Challenging Exploratory Research (15K15061) from JSPS (KK). We thank Mr. Kosuke Osawa and Dr. Masayuki Ishige from On-chip Biotechnologies Co., Ltd. for helpful discussions and assistance with cell sorting. We are also grateful to Dr. Kennosuke Hoshina for his critical review of the manuscript. The Biomedical Research Unit of Tohoku University Hospital provided laboratory equipment support.The associated proteomics data are available via JPOST or ProteomeXchange (JPST000161, PXD005096)
Publisher Copyright:
© 2017 The Authors. Proteomics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2017/7
Y1 - 2017/7
N2 - Ultimately, cell biology seeks to define molecular mechanisms underlying cellular functions. However, heterogeneity within cell populations must be considered for optimal assay design and data interpretation. Although single-cell analyses are desirable for addressing this issue, practical considerations, including assay sensitivity, limit their broad application. Therefore, omics studies on small numbers of cells in defined subpopulations represent a viable alternative for elucidating cell functions at the molecular level. MS-based proteomics allows in-depth proteome exploration, although analyses of small numbers of cells have not been pursued due to loss during the multistep procedure involved. Thus, optimization of the proteomics workflow to facilitate the analysis of rare cells would be useful. Here, we report a microproteomics workflow for limited numbers of immune cells using non-damaging, microfluidic chip-based cell sorting and MS-based proteomics. Samples of 1000 or 100 THP-1 cells were sorted, and after enzymatic digestion, peptide mixtures were subjected to nano-LC-MS analysis. We achieved reasonable proteome coverage from as few as 100-sorted cells, and the data obtained from 1000-sorted cells were as comprehensive as those obtained using 1 μg of whole cell lysate. With further refinement, our approach could be useful for studying cell subpopulations or limited samples, such as clinical specimens.
AB - Ultimately, cell biology seeks to define molecular mechanisms underlying cellular functions. However, heterogeneity within cell populations must be considered for optimal assay design and data interpretation. Although single-cell analyses are desirable for addressing this issue, practical considerations, including assay sensitivity, limit their broad application. Therefore, omics studies on small numbers of cells in defined subpopulations represent a viable alternative for elucidating cell functions at the molecular level. MS-based proteomics allows in-depth proteome exploration, although analyses of small numbers of cells have not been pursued due to loss during the multistep procedure involved. Thus, optimization of the proteomics workflow to facilitate the analysis of rare cells would be useful. Here, we report a microproteomics workflow for limited numbers of immune cells using non-damaging, microfluidic chip-based cell sorting and MS-based proteomics. Samples of 1000 or 100 THP-1 cells were sorted, and after enzymatic digestion, peptide mixtures were subjected to nano-LC-MS analysis. We achieved reasonable proteome coverage from as few as 100-sorted cells, and the data obtained from 1000-sorted cells were as comprehensive as those obtained using 1 μg of whole cell lysate. With further refinement, our approach could be useful for studying cell subpopulations or limited samples, such as clinical specimens.
KW - Cell sorting
KW - Mass spectrometry
KW - Microproteomics
KW - Monocytes
KW - Sample preparation
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U2 - 10.1002/pmic.201600420
DO - 10.1002/pmic.201600420
M3 - Article
C2 - 28556466
AN - SCOPUS:85021729380
SN - 1615-9853
VL - 17
JO - Proteomics
JF - Proteomics
IS - 13-14
M1 - 1600420
ER -