henhaobio
Sign in

Frontiers in Cellular and Infection MicrobiologyBioinformaticsPeer-reviewed journal article

BBSdb, an open resource for bacterial biofilm-associated proteins

Zhiyuan ZhangiD, Yuanyuan PaniD, Wajid HussainiD, Qingqing LiiD, Erguang LiiD

PDFDOIPreprint

Abstract

SummaryBacterial biofilms are organized heterogeneous assemblages of microbial cells encased within a self-produced matrix of exopolysaccharides, extracellular DNA and proteins. Over the last decade, more and more biofilm-associated proteins have been discovered and investigated. Furthermore, omics techniques such as transcriptomes, proteomes also play important roles in identifying new biofilm-associated genes or proteins. However, those important data have been uploaded separately to various databases, which creates obstacles for biofilm researchers to have a comprehensive access to these data. In this work, we constructed BBSdb, a state-of-the-art open resource of bacterial biofilm-associated protein. It includes 48 different bacteria species, 105 transcriptome datasets, 21 proteome datasets, 1205 experimental samples, 57,823 differentially expressed genes (DEGs), 13,605 differentially expressed proteins (DEPs), 1,930 Top 5% differentially expressed genes and a predictor for prediction of biofilm-associated protein. In addition, 1,781 biofilm-associated proteins, including annotation and sequences, were extracted from 942 articles and public databases via text-mining analysis. We used E. coli as an example to represent how to explore potential biofilm-associated proteins in bacteria. We believe that this study will be of broad interest to researchers in field of bacteria, especially biofilms, which are involved in bacterial growth, pathogenicity, and drug resistance. Availability and implementationThe BBSdb is freely available at http://124.222.145.44/#!/.

Citations
10
FWCI
1.36
Field percentile
top 20%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISAli '25Ravichandra '22Olst '24Zhang '24Brahma '26Fredendall '19
60% semantic matchMicrobiology
Sura Mazin Ali, Alexander Stavropoulos, Benjamin Jenkins+13 more·mBio·May 21, 2025· 5 citations