Proteomics

Dataset Information

0

A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS


ABSTRACT: A comprehensive and high-quality E. coli spectral assay library for 56,182 proteotypic peptides mapped to 4,014 (91.5%) of the 4,389 annotated proteins using one- and two-dimensional fractionated samples, and ion mobility separation.

INSTRUMENT(S): TripleTOF 6600

ORGANISM(S): Escherichia Coli

TISSUE(S): Cell Culture

SUBMITTER: Mukul Midha  

LAB HEAD: Robert L. Moritz

PROVIDER: PXD020761 | Pride | 2020-10-19

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Ecoli_10hrs_Rep2_SW1.htrms Other
Ecoli_10hrs_Rep2_SW1.wiff Wiff
Ecoli_10hrs_Rep2_SW1.wiff.scan Wiff
Ecoli_10hrs_Rep2_SW2.htrms Other
Ecoli_10hrs_Rep2_SW2.wiff Wiff
Items per page:
1 - 5 of 82
altmetric image

Publications

A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS.

Midha Mukul K MK   Kusebauch Ulrike U   Shteynberg David D   Kapil Charu C   Bader Samuel L SL   Reddy Panga Jaipal PJ   Campbell David S DS   Baliga Nitin S NS   Moritz Robert L RL  

Scientific data 20201112 1


Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated  ...[more]

Similar Datasets

2020-10-19 | PXD020785 | Pride
2006-03-31 | E-TABM-28 | biostudies-arrayexpress
2006-03-31 | E-TABM-30 | biostudies-arrayexpress
2022-05-31 | PXD030823 | Pride
2021-09-09 | PXD020005 | Pride
2006-04-30 | E-TABM-59 | biostudies-arrayexpress
2006-03-31 | E-TABM-31 | biostudies-arrayexpress
2016-07-20 | E-GEOD-84574 | biostudies-arrayexpress
2014-06-02 | E-GEOD-47987 | biostudies-arrayexpress
2016-07-20 | E-GEOD-84575 | biostudies-arrayexpress