Aug 2026· Current Microbiology· Vol 83· 0 citations· 39 references
Medicine
TL;DR
It is demonstrated that proteogenomic integration significantly improves the accuracy of L. donovani genome annotation by resolving truncated gene models and uncovering hidden coding potential, which improve genome annotation and highlight previously unrecognised coding potential supported by peptide evidence in Leishmania donovani.
The peptide-supported novel and corrected protein-coding genes identified in this study represent a valuable resource for the future exploration of candidate biomarkers and may be provide the molecular targets for improved diagnosis, prognosis, and therapeutic intervention in American tegumentary leishmaniasis.
This is the first study to demonstrate proteogenomic integration of peptide-level evidence with genomic data substantially improves genome annotation in E. histolytica, expanding its known coding repertoire and providing functional insights into previously uncharacterized regions with implications for understanding par...
Manjunath B. Malshetty, Soumi Chowdhury, Shubhankar Pawar et al.· Acta Parasitologica· 0 citations
PHORAGER (Prophage Hunting, vOtu Retrieval, Annotation and Genomic ExploRation), a scalable Nextflow pipeline for the standardised identification and quality assessment of prophages from bacterial genomes, validated using 30,824 publicly available ESKAPE pathogen genomes.
Xena Dyball, Alise J. Ponsero, James A. D. Docherty et al.· bioRxiv· 0 citations
A comparative de novo RNA-Seq analysis of LRV2 negative (LRV2-) and LRV2 positive (LRV2+) L. tropica isolates provides a comprehensive transcriptomic resource that may guide further functional investigations into the mechanisms governing virus-parasite interactions in Old World leishmaniasis.
M. Nalçacı, Y. Özbel, Ahmet Mermer et al.· Acta Tropica· 0 citations
A comprehensive and high-precision standardized proteomic map of M. avium is constructed, which not only supplements the protein expression data for this species but also provides key data support for further elucidating its pathogenic mechanism, screening novel diagnostic markers and therapeutic targets, and formulati...
Yu-Wei Zhang, Songhao Jiang, Gui-lian Li et al.· Sheng wu gong cheng xue bao...· 0 citations
These findings reconstruct the evolutionary emergence of the DGF-1 architecture from pre-existing structural modules and provide a framework for one of the largest and most enigmatic gene families in trypanosomatids.
Mathias J. Mangino, Juan Manuel Trinidad-Barnech, A. Parodi-Talice et al.· bioRxiv· 0 citations
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