Sreelakshmi Sreenivasamurthy

Sreelakshmi Sreenivasamurthy


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 May 2014 in Nature
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Journal Article
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Min-Sik KimMin-Sik Kim
Min-Sik Kim
SPSneha Maria Pinto
Sneha Maria Pinto
DGDerese Getnet
Derese Getnet
RNRaja Sekhar Nirujogi
Raja Sekhar Nirujogi
SMSrikanth S. Manda
Srikanth S. Manda
APAkhilesh Pandey
Akhilesh Pandey
The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease.

20 March 2015 in Journal of Neurochemistry
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Journal Article
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GHGangadharappa Harish
Gangadharappa Harish
AMAnita Mahadevan
Anita Mahadevan
NPNupur Pruthi
Nupur Pruthi
SSSreelakshmi Sreenivasamurthy
Sreelakshmi Sreenivasamurthy
VPVinuth N. Puttamallesh
Vinuth N. Puttamallesh
MBMuchukunte Mukunda Srinivas Bharath
Muchukunte Mukunda Srinivas Bharath

15 November 2016 in Genome Research
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Journal Article
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TPT. S. Keshava Prasad
T. S. Keshava Prasad
AMAjeet Kumar Mohanty
Ajeet Kumar Mohanty
MKManish Kumar
Manish Kumar
SSSreelakshmi Sreenivasamurthy
Sreelakshmi Sreenivasamurthy
GDGourav Dey
Gourav Dey
APAkhilesh Pandey
Akhilesh Pandey
Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. Here, we provide a proof-of-concept of an integrated approach for analysis of the genome and proteome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1196 scaffolds and 868 protein-coding gene models. This proteogenomic approach enabled us to add 365 genes that were missed during genome annotation and identify 917 gene correction events through discovery of 151 novel exons, 297 protein extensions, 231 exon extensions, 192 novel protein start sites, 19 novel translational frames, 28 events of joining of exons, and 76 events of joining of adjacent genes as a single gene. Incorporation of proteomic evidence allowed us to change the designation of more than 87 predicted “noncoding RNAs” to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes.

24 August 2020 in Nature Communications
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Journal Article
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APAkhilesh Pandey
Akhilesh Pandey
ESEric W. Stawiski
Eric W. Stawiski
SDSteffen Durinck
Steffen Durinck
HGHarsha Gowda
Harsha Gowda
LGLeonard D. Goldstein
Leonard D. Goldstein
SSSomasekar Seshagiri
Somasekar Seshagiri
Gallbladder cancer (GBC) is an aggressive gastrointestinal malignancy with no approved targeted therapy. Here, we analyze exomes (n = 160), transcriptomes (n = 115), and low pass whole genomes (n = 146) from 167 gallbladder cancers (GBCs) from patients in Korea, India and Chile. In addition, we also sequence samples from 39 GBC high-risk patients and detect evidence of early cancer-related genomic lesions. Among the several significantly mutated genes not previously linked to GBC are ETS domain genes ELF3 and EHF, CTNNB1, APC, NSD1, KAT8, STK11 and NFE2L2. A majority of ELF3 alterations are frame-shift mutations that result in several cancer-specific neoantigens that activate T-cells indicating that they are cancer vaccine candidates. In addition, we identify recurrent alterations in KEAP1/NFE2L2 and WNT pathway in GBC. Taken together, these define multiple targetable therapeutic interventions opportunities for GBC treatment and management.

17 February 2017 in Leukemia
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Journal Article
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JCJ A Cutler
J A Cutler
RTR Tahir
R Tahir
SSSreelakshmi Sreenivasamurthy
Sreelakshmi Sreenivasamurthy
CMC Mitchell
C Mitchell
SRS Renuse
S Renuse
APA Pandey
A Pandey

26 June 2013 in Malaria Journal
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Journal Article
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SSSreelakshmi Sreenivasamurthy
Sreelakshmi Sreenivasamurthy
GDGourav Dey
Gourav Dey
MRManjula Ramu
Manjula Ramu
MKManish Kumar
Manish Kumar
MGManoj K Gupta
Manoj K Gupta
TPT. S. Keshava Prasad
T. S. Keshava Prasad
Malaria is a vector-borne disease causing extensive morbidity, debility and mortality. Development of resistance to drugs among parasites and to conventional insecticides among vector-mosquitoes necessitates innovative measures to combat this disease. Identification of molecules involved in the maintenance of complex developmental cycles of the parasites within the vector and the host can provide attractive targets to intervene in the disease transmission. In the last decade, several efforts have been made in identifying such molecules involved in mosquito-parasite interactions and, subsequently, validating their role in the development of parasites within the vector. In this study, a list of mosquito proteins, which facilitate or inhibit the development of malaria parasites in the midgut, haemolymph and salivary glands of mosquitoes, is compiled. A total of 94 molecules have been reported and validated for their role in the development of malaria parasites inside the vector. This compendium of molecules will serve as a centralized resource to biomedical researchers investigating vector-pathogen interactions and malaria transmission.