Proteomics

Dataset Information

0

Proteomic Dataset of Non-Specific Interactors in Leishmania infantum


ABSTRACT: This dataset provides a proteomic resource of non-specific protein interactions in Leishmania infantum identified by affinity purification coupled to mass spectrometry (AP-MS/MS). Protein extracts from promastigotes expressing Cas9/T7 RNA polymerase were subjected to immunoprecipitation using HA, myc, and His affinity systems, followed by LC–MS/MS analysis. Raw spectral data were processed using MaxQuant against the L. infantum reference proteome from UniProtKB. The dataset includes raw mass spectrometry files, peptide and protein identification tables, and label-free quantification (LFQ) data, all publicly available via the ProteomeXchange Consortium under the identifier PXD067464. After data filtering, a total of 566 unique proteins were identified across all conditions, including 60 proteins consistently detected in all three affinity systems, representing putative non-specific binders. Among these, metabolism-related proteins (30%) and ribosomal components (28%) were the most abundant functional classes. This dataset provides a valuable reference for background protein binding in AP-MS/MS experiments in Leishmania , supporting improved interpretation of interactome studies and benchmarking of affinity purification strategies.

INSTRUMENT(S):

ORGANISM(S): Leishmania Infantum Jpcm5

DISEASE(S): Visceral Leishmaniasis

SUBMITTER: Wesley Regatieri  

LAB HEAD: Felipe Roberti

PROVIDER: PXD067464 | Pride | 2026-05-20

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
All_data_after_MaxQuanttable.xlsx Xlsx
Output_maxquant.zip Other
SDRF_Metadates.tsv Tabular
anti-HA_raw_data_triplicate.zip.zip Other
anti-myc_raw_data_triplicate.zip.zip Other
Items per page:
1 - 5 of 9

Similar Datasets

2022-08-03 | GSE204807 | GEO
2008-05-28 | E-GEOD-10407 | biostudies-arrayexpress
2016-10-25 | GSE77528 | GEO
2010-05-25 | E-GEOD-9949 | biostudies-arrayexpress
| PRJNA1141353 | ENA
2024-07-01 | PXD051961 | Pride
2020-08-06 | E-MTAB-8818 | biostudies-arrayexpress
2020-10-13 | MODEL2010130001 | BioModels
2013-12-31 | E-GEOD-45866 | biostudies-arrayexpress
| PRJNA607007 | ENA