Unknown

Dataset Information

0

Benchtop-compatible sample processing workflow for proteome profiling of


ABSTRACT: Extending proteomics to smaller samples can enable the mapping of protein expression across tissues with high spatial resolution and can reveal sub-group heterogeneity. However, despite the continually improving sensitivity of LC-MS instrumentation, in-depth profiling of samples containing low-nanogram amounts of protein has remained challenging due to analyte losses incurred during preparation and analysis. To address this, we recently developed nanodroplet processing in one pot for trace samples (nanoPOTS), a robotic/microfluidic platform that generates ready-to-analyze peptides from cellular material in ~200 nL droplets with greatly reduced sample losses. In combination with ultrasensitive LC-MS, nanoPOTS has enabled >3000 proteins to be confidently identified from as few as 10 cultured human cells and ~700 proteins from single cells. However, the nanoPOTS platform requires a highly skilled operator and a costly in-house-built robotic nanopipetting instrument. In this work, we sought to evaluate the extent to which the benefits of nanodroplet processing could be preserved when upscaling reagent dispensing volumes by a factor of 10 to those addressable by commercial micropipette. We characterized the resulting platform, termed microdroplet processing in one pot for trace samples (?POTS), for the analysis of as few as ~25 cultured HeLa cells (4 ng total protein) or 50 ?m square mouse liver tissue thin sections and found that ~1800 and ~1200 unique proteins were respectively identified with high reproducibility. The reduced equipment requirements should facilitate broad dissemination of nanoproteomics workflows by obviating the need for a capital-intensive custom liquid handling system.

SUBMITTER: Xu K 

PROVIDER: S-EPMC6527493 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Xu Kerui K   Liang Yiran Y   Piehowski Paul D PD   Dou Maowei M   Schwarz Kaitlynn C KC   Zhao Rui R   Sontag Ryan L RL   Moore Ronald J RJ   Zhu Ying Y   Kelly Ryan T RT  

Analytical and bioanalytical chemistry 20181120 19


Extending proteomics to smaller samples can enable the mapping of protein expression across tissues with high spatial resolution and can reveal sub-group heterogeneity. However, despite the continually improving sensitivity of LC-MS instrumentation, in-depth profiling of samples containing low-nanogram amounts of protein has remained challenging due to analyte losses incurred during preparation and analysis. To address this, we recently developed nanodroplet processing in one pot for trace sampl  ...[more]

Similar Datasets

| S-EPMC5830451 | biostudies-literature
| S-EPMC8140400 | biostudies-literature
2018-01-24 | PXD006847 | Pride
| S-EPMC6117295 | biostudies-literature
2020-12-21 | PXD021882 | Pride
| S-EPMC6174930 | biostudies-literature
| S-EPMC4577016 | biostudies-literature
| S-EPMC2975600 | biostudies-literature
| S-EPMC6124911 | biostudies-literature
| S-EPMC10070353 | biostudies-literature