Multi-omics analysis to characterize molecular adaptation of Entamoeba histolytica during serum stress

dc.contributor.authorSingh, Shashi Shekhar
dc.contributor.authorMansuri, Mohammad Shahid
dc.contributor.authorNaiyer, Sarah
dc.contributor.authorKaur, Devinder
dc.contributor.authorAgrahari, Mridula
dc.contributor.authorSrinivasan, Sandhya
dc.contributor.authorJhingan, Gagan Deep
dc.contributor.authorBhattacharya, Alok
dc.contributor.authorBhattacharya, Sudha
dc.date.accessioned2024-01-16T14:23:16Z
dc.date.accessioned2024-08-13T10:34:12Z
dc.date.available2024-01-16T14:23:16Z
dc.date.available2024-08-13T10:34:12Z
dc.date.issued2022-09-06T00:00:00
dc.description.abstractEntamoeba histolytica is responsible for dysentery and extraintestinal disease in humans. To establish successful infection, it must generate adaptive response against stress due to host defense mechanisms. We have developed a robust proteomics workflow by combining miniaturized sample preparation, low flow-rate chromatography, and ultra-high sensitivity mass spectrometry, achieving increased proteome coverage, and further integrated proteomics and RNA-seq data to decipher regulation at translational and transcriptional levels. Label-free quantitative proteomics led to identification of 2344 proteins, an improvement over the maximum number identified in E. histolytica proteomic studies. In serum-starved cells, 127 proteins were differentially abundant and were associated with functions including antioxidant activity, cytoskeleton, translation, catalysis, and transport. The virulence factor, Gal/GalNAc-inhibitable lectin subunits, was significantly altered. Integration of transcriptomic and proteomic data revealed that only 30% genes were coordinately regulated at both transcriptional and translational levels. Some highly expressed transcripts did not change in protein abundance. Conversely, genes with no transcriptional change showed enhanced protein abundance, indicating post-transcriptional regulation. This multi-omics approach enables more refined gene expression analysis to understand the adaptive response of E. histolytica during growth stress. � 2022 Wiley-VCH GmbH.en_US
dc.identifier.doi10.1002/pmic.202200148
dc.identifier.issn16159853
dc.identifier.urihttps://doi.org/10.1002/pmic.202200148
dc.identifier.urihttps://kr.cup.edu.in/handle/32116/2888
dc.language.isoen_USen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.subjectEntamoeba histolyticaen_US
dc.subjectmulti-omicsen_US
dc.subjectpost-transcriptional regulationen_US
dc.subjectproteomicsen_US
dc.subjectserum-stressen_US
dc.subjectstress responseen_US
dc.subjecttranscriptomeen_US
dc.subjecttranslational repressionen_US
dc.titleMulti-omics analysis to characterize molecular adaptation of Entamoeba histolytica during serum stressen_US
dc.title.journalProteomicsen_US
dc.typeArticleen_US
dc.type.accesstypeClosed Accessen_US

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