Optimizing single cell proteomics using trapped ion mobility spectrometry for label-free experiments-Reference-Cited by-同舟云学术

Optimizing single cell proteomics using trapped ion mobility spectrometry for label-free experiments

Published:2023 Issue:15 Volume:148 Page:3466-3475
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Mun Dong-Gi¹,Bhat Firdous A.¹,Ding Husheng¹,Madden Benjamin J.²,Natesampillai Sekar³,Badley Andrew D.³,Johnson Kenneth L.²,Kelly Ryan T.⁴,Pandey Akhilesh¹⁵⁶^ORCID

Affiliation:

1. Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First ST SW, Rochester, MN 55905, USA

2. Proteomics Core, Mayo Clinic, Rochester, MN 55905, USA

3. Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, USA

4. Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, USA

5. Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India

6. Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA

Abstract

We present optimized settings for ramp times and ion mobility range in trapped ion mobility spectrometry experiments involving single cell analysis.

Funder

National Cancer Institute

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AN/D3AN00080J

Reference42 articles.

1. Unpicking the proteome in single cells

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