Proteomics

Dataset Information

First comprehensive proteome analysis of lysine crotonylation in Streptococcus agalactiae, a pathogen causing meningoencephalitis in teleosts


ABSTRACT: In Homo sapiens, Streptococcus agalactiae is a common colonizer of the rectovaginal tract and a fundamental cause of neonatal and non-pregnant adults infectious diseases. It also causes infectious disease in fish which compromises food safety as well as possesses a zoonotic risk. Lysine crotonylation (Kcr) is a type of histone post-translational modifications discovered in 2011. Kcr dynamics are involved in active gene promoters and potential enhancers in yeast and mammalian. However, lysine crotonylation in S. agalactiae has not yet been studied. In the present study, we conducted the first proteome-wide profiling of Kcr in S. agalactiae and identified 241 Kcr sites on 675 proteins, representing the Kcr event in S. agalactiae. Bioinformatics analysis showed that 164 sequences were matched to a total of six definitively conserved motifs, and many of them were significantly enriched in metabolic processes, cellular process, and single-organism processes. Moreover, we found four crotonylation modified proteins predicted as quorum sensing system and virulence factors, which indicate the important role of PTM on bacterial QS system and virulence. These data represent the first report of a global crotonylation proteome and provide a promising starting point for further functional research of crotonylation in bacterial virulence in S. agalactiae.

INSTRUMENT(S):

ORGANISM(S): Enterococcus Faecalis (streptococcus Faecalis)

SUBMITTER: Chen Xinjin  

LAB HEAD: Jian Jichang

PROVIDER: PXD026445 | Pride | 2021-12-30

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
PXD026445_community_annotated.sdrf.tsv Tabular
Z9351PICr.raw Raw
Z9351PICr.zip Other
mqpar.xml Xml
Items per page:
1 - 4 of 4
altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets