Proteomics

Dataset Information

0

Coupling microdroplet-based sample preparation, multiplexed isobaric labeling, and nanoflow peptide fractionation for deep proteome profiling of tissue microenvironment


ABSTRACT: Existing spatially-resolved proteomics technologies cannot provide deep proteome coverage due to limited sensitivity and poor sample recovery. Herein, we seamlessly combined laser capture microdissection with a low-volume sample processing technology that includes a microfluidic device named microPOTS (Microdroplet Processing in One pot for Trace Samples), multiplexed isobaric labelling, and a nanoflow peptide fractionation approach. The integrated workflow allowed us to maximize proteome coverage of laser-isolated tissue samples containing nanogram level of proteins. We demonstrated that the deep spatial proteomics platform can quantify more than 5,000 unique proteins from a small-sized human pancreatic tissue pixel (~60,000 um2) and differentiate unique protein abundance patterns in pancreas. Further, the use of microPOTS chip eliminated the requirement for advanced microfabrication capabilities and specialized nanoliter liquid handling equipment, making it more accessible to proteomic laboratories.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Paul D. Piehowski  

PROVIDER: MSV000093925 | MassIVE | Thu Jan 25 22:34:00 GMT 2024

SECONDARY ACCESSION(S): PXD048911

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1
altmetric image

Publications

Coupling Microdroplet-Based Sample Preparation, Multiplexed Isobaric Labeling, and Nanoflow Peptide Fractionation for Deep Proteome Profiling of the Tissue Microenvironment.

Veličković Marija M   Fillmore Thomas L TL   Attah Isaac Kwame IK   Posso Camilo C   Pino James C JC   Zhao Rui R   Williams Sarah M SM   Veličković Dušan D   Jacobs Jon M JM   Burnum-Johnson Kristin E KE   Zhu Ying Y   Piehowski Paul D PD  

Analytical chemistry 20240801 32


There is increasing interest in developing in-depth proteomic approaches for mapping tissue heterogeneity in a cell-type-specific manner to better understand and predict the function of complex biological systems such as human organs. Existing spatially resolved proteomics technologies cannot provide deep proteome coverage due to limited sensitivity and poor sample recovery. Herein, we seamlessly combined laser capture microdissection with a low-volume sample processing technology that includes  ...[more]

Similar Datasets

2012-02-21 | E-GEOD-33786 | biostudies-arrayexpress
2012-02-21 | GSE33786 | GEO
2023-07-04 | GSE228820 | GEO
2013-12-31 | GSE43999 | GEO
2023-05-23 | MSV000092014 | MassIVE
2017-02-07 | PXD003977 | Pride
2023-05-10 | PXD034255 | Pride
2007-07-04 | GSE8360 | GEO
2006-11-18 | GSE6290 | GEO
2006-12-23 | GSE6589 | GEO