Proteomics

Dataset Information

0

Multi-Omics Analysis to Characterize Molecular Adaptation of Entamoeba histolytica during Serum Stress


ABSTRACT: Entamoeba histolytica is a human pathogen, responsible for amoebic dysentery and invasive extraintestinal disease. The parasite faces several types of stress within the host, and to establish a successful infection it must generate a robust adaptive response against host defense mechanisms. In order to obtain comprehensive information of gene expression changes in E. histolytica under growth stress, we have (1) optimized the proteomics protocol to increase the protein coverage in E. histolytica, and (2) integrated proteomic data with transcriptomic analysis under the same conditions. We have applied this approach to better understand the cellular response during serum-starvation. Label-free quantitative proteomics was performed, and compared with mRNA levels based on RNA-seq data to decipher regulation at translational and transcriptional levels. Across all samples, 2344 proteins were identified, which is an improvement over the maximum recorded number in E. histolytica proteomic studies so far. A total of 127 proteins were found to be differentially expressed and associated with functions including antioxidant activity, cytoskeleton, translation, catalysis, and transport, which revealed proteomic signatures to distinguish serum-starved from normal trophozoites. Gal/GalNAc-inhibitable lectin, Lgls, Hgl3 and Igl were repeatedly identified as significantly altered in serum-stress condition. Further, integration of transcriptomic and proteomic data revealed instances of post-transcriptional regulation. Six highly expressed transcripts had low corresponding protein expression, indicating translational repression. Conversely, eleven transcripts showed much greater downregulation compared with their corresponding proteins, indicating translational induction, or increased stability of these proteins during serum stress in E. histolytica. This multi-omics approach enables more refined gene expression analysis that would not be possible at the mRNA or protein levels alone. Our study provides important data to further understand the adaptive response of E. histolytica to growth stress.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Entamoeba Histolytica

SUBMITTER: gagan jhingan  

LAB HEAD: Prof. Sudha Bhattacharya, Ph.D.

PROVIDER: PXD031921 | Pride | 2022-09-23

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
N1.raw Raw
N2.raw Raw
N3.raw Raw
Oxidation__M_Sites.txt Txt
SR1.raw Raw
Items per page:
1 - 5 of 22
altmetric image

Publications

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

Singh Shashi Shekhar SS   Mansuri Mohammad Shahid MS   Naiyer Sarah S   Kaur Devinder D   Agrahari Mridula M   Srinivasan Sandhya S   Jhingan Gagan Deep GD   Bhattacharya Alok A   Bhattacharya Sudha S  

Proteomics 20220913 22


Entamoeba 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 translat  ...[more]

Similar Datasets

2012-10-16 | E-GEOD-41604 | biostudies-arrayexpress
2010-11-01 | E-GEOD-19064 | biostudies-arrayexpress
2015-03-02 | E-MTAB-1207 | biostudies-arrayexpress
2015-05-15 | E-MTAB-3525 | biostudies-arrayexpress
2015-07-22 | E-GEOD-67230 | biostudies-arrayexpress
2012-07-01 | E-MTAB-1187 | biostudies-arrayexpress
2014-06-30 | E-MTAB-1158 | biostudies-arrayexpress
2011-08-30 | E-GEOD-28883 | biostudies-arrayexpress
2012-08-01 | E-MTAB-1201 | biostudies-arrayexpress
2013-06-05 | E-GEOD-43372 | biostudies-arrayexpress