Literature DB >> 31531506

Miniaturized sample preparation on a digital microfluidics device for sensitive bottom-up microproteomics of mammalian cells using magnetic beads and mass spectrometry-compatible surfactants.

Jan Leipert1, Andreas Tholey.   

Abstract

While LC-MS-based proteomics with high nanograms to micrograms of total protein has become routine, the analysis of samples derived from low cell numbers is challenged by factors such as sample losses, or difficulties encountered with the manual manipulation of small liquid volumes. Digital microfluidics (DMF) is an emerging technique for miniaturized and automated droplet manipulation, which has been proposed as a promising tool for proteomic sample preparation. However, proteome analysis of samples prepared on-chip by DMF has previously been unfeasible, due to incompatibility with down-stream LC-MS instrumentation. To overcome these limitations, we here developed protocols for bottom-up LC-MS based proteomics sample preparation of as little as 100 mammalian cells on a commercially available digital microfluidics device. To this end, we developed effective cell lysis conditions optimized for DMF, as well as detergent-buffer systems compatible with downstream proteolytic digestion on DMF chips and subsequent LC-MS analysis. A major step was the introduction of the single-pot, solid-phase-enhanced sample preparation (SP3) approach on-chip, which allowed the removal of salts and anti-fouling polymeric detergents, thus rendering sample preparation by DMF compatible with LC-MS-based proteome analysis. Application of DMF-SP3 to the proteome analysis of Jurkat T cells led to the identification of up to 2500 proteins from approximately 500 cells, and up to 1200 proteins from approximately 100 cells on an Orbitrap mass spectrometer, emphasizing the high compatibility of DMF-SP3 with low protein input and minute volumes handled by DMF. Taken together, we demonstrate the first sample preparation workflow for proteomics on a DMF chip device reported so far, allowing the sensitive analysis of limited biological material.

Entities:  

Year:  2019        PMID: 31531506     DOI: 10.1039/c9lc00715f

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  7 in total

1.  Magnetic actuation and deformation of a soft shuttle.

Authors:  Ana Daysi Ruvalcaba-Cardenas; Raul Alejandro Ramirez Gomez; Khashayar Khoshmanesh; Francisco J Tovar-Lopez
Journal:  Biomicrofluidics       Date:  2020-05-18       Impact factor: 2.800

2.  Protein and Proteome Measurements with Microfluidic Chips.

Authors:  Iulia M Lazar; Nicholas S Gulakowski; Alexandru C Lazar
Journal:  Anal Chem       Date:  2019-11-12       Impact factor: 6.986

3.  Simple and Efficient Microsolid-Phase Extraction Tip-Based Sample Preparation Workflow to Enable Sensitive Proteomic Profiling of Limited Samples (200 to 10,000 Cells).

Authors:  James C Kostas; Michal Greguš; Jan Schejbal; Somak Ray; Alexander R Ivanov
Journal:  J Proteome Res       Date:  2021-02-24       Impact factor: 4.466

Review 4.  Microfluidics for Peptidomics, Proteomics, and Cell Analysis.

Authors:  Rui Vitorino; Sofia Guedes; João Pinto da Costa; Václav Kašička
Journal:  Nanomaterials (Basel)       Date:  2021-04-26       Impact factor: 5.076

5.  Comparison of Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) in Limited DNA Sequencing Based on Tube and Droplet.

Authors:  Xiaoxiang Zhou; Ying Xu; Libo Zhu; Zhen Su; Xiaoming Han; Zhen Zhang; Yan Huang; Quanjun Liu
Journal:  Micromachines (Basel)       Date:  2020-06-29       Impact factor: 2.891

6.  Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry.

Authors:  Sofani Tafesse Gebreyesus; Asad Ali Siyal; Reta Birhanu Kitata; Eric Sheng-Wen Chen; Bayarmaa Enkhbayar; Takashi Angata; Kuo-I Lin; Yu-Ju Chen; Hsiung-Lin Tu
Journal:  Nat Commun       Date:  2022-01-10       Impact factor: 17.694

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.