Literature DB >> 32374172

Sensitive Top-Down Proteomics Analysis of a Low Number of Mammalian Cells Using a Nanodroplet Sample Processing Platform.

Mowei Zhou1, Naomi Uwugiaren2, Sarah M Williams1, Ronald J Moore3, Rui Zhao1, David Goodlett2,4, Irena Dapic2, Ljiljana Paša-Tolić1, Ying Zhu1.   

Abstract

Top-down proteomics is a powerful tool for characterizing genetic variations and post-translational modifications at intact protein level. However, one significant technical gap of top-down proteomics is the inability to analyze a low amount of biological samples, which limits its access to isolated rare cells, fine needle aspiration biopsies, and tissue substructures. Herein, we developed an ultrasensitive top-down platform by incorporating a microfluidic sample preparation system, termed nanoPOTS (nanodroplet processing in one pot for trace samples), into a top-down proteomic workflow. A unique combination of a nonionic detergent dodecyl-β-d-maltopyranoside (DDM) with urea as protein extraction buffer significantly improved both protein extraction efficiency and sample recovery. We hypothesize that the DDM detergent improves protein recovery by efficiently reducing nonspecific adsorption of intact proteins on container surfaces, while urea serves as a strong denaturant to disrupt noncovalent complexes and release intact proteins for downstream analysis. The nanoPOTS-based top-down platform reproducibly and quantitatively identified ∼170 to ∼620 proteoforms from ∼70 to ∼770 HeLa cells containing ∼10 to ∼115 ng of total protein. A variety of post-translational modifications including acetylation, myristoylation, and iron binding were identified using only less than 800 cells. We anticipate the nanoPOTS top-down proteomics platform will be broadly applicable in biomedical research, particularly where clinical specimens are not available in amounts amenable to standard workflows.

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Year:  2020        PMID: 32374172     DOI: 10.1021/acs.analchem.0c00467

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

Review 1.  Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.

Authors:  Anca-Narcisa Neagu; Madhuri Jayathirtha; Emma Baxter; Mary Donnelly; Brindusa Alina Petre; Costel C Darie
Journal:  Molecules       Date:  2022-04-08       Impact factor: 4.927

2.  Laser capture microdissection-capillary zone electrophoresis-tandem mass spectrometry (LCM-CZE-MS/MS) for spatially resolved top-down proteomics: a pilot study of zebrafish brain.

Authors:  Rachele A Lubeckyj; Liangliang Sun
Journal:  Mol Omics       Date:  2022-02-21

3.  Top-down proteomics: challenges, innovations, and applications in basic and clinical research.

Authors:  Kyle A Brown; Jake A Melby; David S Roberts; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2020-12-17       Impact factor: 3.940

4.  Proteoform-Selective Imaging of Tissues Using Mass Spectrometry.

Authors:  Manxi Yang; Hang Hu; Pei Su; Paul M Thomas; Jeannie M Camarillo; Joseph B Greer; Bryan P Early; Ryan T Fellers; Neil L Kelleher; Julia Laskin
Journal:  Angew Chem Int Ed Engl       Date:  2022-05-17       Impact factor: 16.823

5.  The Human Proteoform Atlas: a FAIR community resource for experimentally derived proteoforms.

Authors:  Michael A R Hollas; Matthew T Robey; Ryan T Fellers; Richard D LeDuc; Paul M Thomas; Neil L Kelleher
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

6.  The Human Proteoform Project: Defining the human proteome.

Authors:  Lloyd M Smith; Jeffrey N Agar; Julia Chamot-Rooke; Paul O Danis; Ying Ge; Joseph A Loo; Ljiljana Paša-Tolić; Yury O Tsybin; Neil L Kelleher
Journal:  Sci Adv       Date:  2021-11-12       Impact factor: 14.136

7.  Hanging drop sample preparation improves sensitivity of spatial proteomics.

Authors:  Yumi Kwon; Paul D Piehowski; Rui Zhao; Ryan L Sontag; Ronald J Moore; Kristin E Burnum-Johnson; Richard D Smith; Wei-Jun Qian; Ryan T Kelly; Ying Zhu
Journal:  Lab Chip       Date:  2022-07-26       Impact factor: 7.517

  7 in total

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