Keshava K. Datta
KIIT University
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Publication
Featured researches published by Keshava K. Datta.
Nature | 2014
Min Sik Kim; Sneha M. Pinto; Derese Getnet; Raja Sekhar Nirujogi; Srikanth S. Manda; Raghothama Chaerkady; Dhanashree S. Kelkar; Ruth Isserlin; Shobhit Jain; Joji Kurian Thomas; Babylakshmi Muthusamy; Pamela Leal-Rojas; Praveen Kumar; Nandini A. Sahasrabuddhe; Lavanya Balakrishnan; Jayshree Advani; Bijesh George; Santosh Renuse; Lakshmi Dhevi N. Selvan; Arun H. Patil; Vishalakshi Nanjappa; Aneesha Radhakrishnan; Samarjeet Prasad; Tejaswini Subbannayya; Rajesh Raju; Manish Kumar; Sreelakshmi K. Sreenivasamurthy; Arivusudar Marimuthu; Gajanan Sathe; Sandip Chavan
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.
Molecular & Cellular Proteomics | 2014
Dhanashree S. Kelkar; Elayne Provost; Raghothama Chaerkady; Babylakshmi Muthusamy; Srikanth S. Manda; Tejaswini Subbannayya; Lakshmi Dhevi N. Selvan; Chieh-Huei Wang; Keshava K. Datta; Sunghee Woo; Sutopa B. Dwivedi; Santosh Renuse; Derese Getnet; Tai Chung Huang; Min-Sik Kim; Sneha M. Pinto; Christopher J. Mitchell; Praveen Kumar; Jyoti Sharma; Jayshree Advani; Gourav Dey; Lavanya Balakrishnan; Nazia Syed; Vishalakshi Nanjappa; Yashwanth Subbannayya; Renu Goel; T. S. Keshava Prasad; Vineet Bafna; Ravi Sirdeshmukh; Harsha Gowda
Accurate annotation of protein-coding genes is one of the primary tasks upon the completion of whole genome sequencing of any organism. In this study, we used an integrated transcriptomic and proteomic strategy to validate and improve the existing zebrafish genome annotation. We undertook high-resolution mass-spectrometry-based proteomic profiling of 10 adult organs, whole adult fish body, and two developmental stages of zebrafish (SAT line), in addition to transcriptomic profiling of six organs. More than 7,000 proteins were identified from proteomic analyses, and ∼69,000 high-confidence transcripts were assembled from the RNA sequencing data. Approximately 15% of the transcripts mapped to intergenic regions, the majority of which are likely long non-coding RNAs. These high-quality transcriptomic and proteomic data were used to manually reannotate the zebrafish genome. We report the identification of 157 novel protein-coding genes. In addition, our data led to modification of existing gene structures including novel exons, changes in exon coordinates, changes in frame of translation, translation in annotated UTRs, and joining of genes. Finally, we discovered four instances of genome assembly errors that were supported by both proteomic and transcriptomic data. Our study shows how an integrative analysis of the transcriptome and the proteome can extend our understanding of even well-annotated genomes.
Journal of Cell Communication and Signaling | 2015
Jyoti Sharma; Lavanya Balakrishnan; Keshava K. Datta; Nandini A. Sahasrabuddhe; Aafaque Ahmad Khan; Apeksha Sahu; Anish Singhal; Derese Getnet; Rajesh Raju; Aditi Chatterjee; Harsha Gowda; T. S. Keshava Prasad; Subramanian Shankar; Akhilesh Pandey
Interleukin-17 (IL-17) belongs to a relatively new family of cytokines that has garnered attention as the signature cytokine of Th17 cells. This cytokine family consists of 6 ligands, which bind to 5 receptor subtypes and induce downstream signaling. Although the receptors are ubiquitously expressed, cellular responses to ligands vary across tissues. The cytokine family is associated with various autoimmune disorders including rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, asthma and psoriasis in addition to being implicated in the pathogenesis of cancer. In addition, this family plays a role in host defense against bacterial and fungal infections. The signaling mechanisms of the IL-17 family of proinflammatory cytokines are not well explored. In this study, we present a resource of literature-annotated reactions induced by IL-17. The reactions are catalogued under 5 categories, namely; molecular association, catalysis, transport, activation/inhibition and gene regulation. A total of 93 molecules and 122 reactions have been annotated. The IL-17 pathway is freely available through NetPath, a resource of signal transduction pathways previously developed by our group.
Neurochemical Research | 2016
Aparna Sharma; Anu Mary Varghese; Kalyan Vijaylakshmi; Rajendrarao Sumitha; V.K. Prasanna; S. Shruthi; B.K. Chandrasekhar Sagar; Keshava K. Datta; Harsha Gowda; Atchayaram Nalini; Phalguni Anand Alladi; Rita Christopher; Talakad N. Sathyaprabha; T.R. Raju; M.M. Srinivas Bharath
In our laboratory, we have developed (1) an in vitro model of sporadic Amyotrophic Lateral Sclerosis (sALS) involving exposure of motor neurons to cerebrospinal fluid (CSF) from sALS patients and (2) an in vivo model involving intrathecal injection of sALS-CSF into rat pups. In the current study, we observed that spinal cord extract from the in vivo sALS model displayed elevated reactive oxygen species (ROS) and mitochondrial dysfunction. Quantitative proteomic analysis of sub-cellular fractions from spinal cord of the in vivo sALS model revealed down-regulation of 35 mitochondrial proteins and 4 lysosomal proteins. Many of the down-regulated mitochondrial proteins contribute to alterations in respiratory chain complexes and organellar morphology. Down-regulated lysosomal proteins Hexosaminidase, Sialidase and Aryl sulfatase also displayed lowered enzyme activity, thus validating the mass spectrometry data. Proteomic analysis and validation by western blot indicated that sALS-CSF induced the over-expression of the pro-apoptotic mitochondrial protein BNIP3L. In the in vitro model, sALS-CSF induced neurotoxicity and elevated ROS, while it lowered the mitochondrial membrane potential in rat spinal cord mitochondria in the in vivo model. Ultra structural alterations were evident in mitochondria of cultured motor neurons exposed to ALS-CSF. These observations indicate the first line evidence that sALS-CSF mediated mitochondrial and lysosomal defects collectively contribute to the pathogenesis underlying sALS.
Proteomics | 2015
Nazia Syed; Mustafa A. Barbhuiya; Sneha M. Pinto; Raja Sekhar Nirujogi; Santosh Renuse; Keshava K. Datta; Aafaque Ahmad Khan; Kotteazeth Srikumar; T. S. Keshava Prasad; M. Vijaya Kumar; Rekha V. Kumar; Aditi Chatterjee; Akhilesh Pandey; Harsha Gowda
Esophageal squamous‐cell carcinoma (ESCC) is one of the most common malignancies in Asia. Currently, surgical resection of early‐stage tumor is the best available treatment. However, most patients present late when surgery is not an option. Data suggest that chemotherapy regimens are inadequate for clinical management of advanced cancer. Targeted therapy has emerged as one of the most promising approaches to treat several malignancies. A prerequisite for developing targeted therapy is prior knowledge of proteins and pathways that drive proliferation in malignancies. We carried out phosphotyrosine profiling across four different ESCC cell lines and compared it to non‐neoplastic Het‐1A cell line to identify activated tyrosine kinase signaling pathways in ESCC. A total of 278 unique phosphopeptides were identified across these cell lines. This included several tyrosine kinases and their substrates that were hyperphosphorylated in ESCC. Ephrin receptor A2 (EPHA2), a receptor tyrosine kinase, was hyperphosphorylated in all the ESCC cell lines used in the study. EPHA2 is reported to be oncogenic in several cancers and is also known to promote metastasis. Immunohistochemistry‐based studies have revealed EPHA2 is overexpressed in nearly 50% of ESCC. We demonstrated EPHA2 as a potential therapeutic target in ESCC by carrying out siRNA‐based knockdown studies. Knockdown of EPHA2 in ESCC cell line TE8 resulted in significant decrease in cell proliferation and invasion, suggesting it is a promising therapeutic target in ESCC that warrants further evaluation.
Journal of Proteomics | 2015
Sartaj Ahmad Mir; Pavithra Rajagopalan; Ankit P. Jain; Aafaque Ahmad Khan; Keshava K. Datta; Sonali Mohan; Syed Lateef; Nandini A. Sahasrabuddhe; B. L. Somani; T. S. Keshava Prasad; Aditi Chatterjee; K.V. Veerendra Kumar; Manavalan Vijayakumar; Rekha V. Kumar; Seetaramanjaneyulu Gundimeda; Akhilesh Pandey; Harsha Gowda
UNLABELLED Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers with poor prognosis. Here, we carried out liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS)-based untargeted metabolomic analysis of ESCC serum samples. Statistical analysis resulted in the identification of 652 significantly dysregulated molecular features in serum from ESCC patients as compared to the healthy subjects. Phosphatidylcholines were identified as a major class of dysregulated metabolites in this study suggesting potential perturbation of phosphocholine metabolism in ESCC. By using a targeted MS/MS approach both in positive and negative mode, we were able to characterize and confirm the structure of seven metabolites. Our study describes a quantitative LC-MS approach for characterizing dysregulated lipid metabolism in ESCC. BIOLOGICAL SIGNIFICANCE Altered metabolism is a hallmark of cancer. We carried out (LC-MS)-based untargeted metabolomic profiling of serum from esophageal squamous cell carcinoma (ESCC) patients to characterize dysregulated metabolites. Phosphatidylcholine metabolism was found to be significantly altered in ESCC. Our study illustrates the use of mass spectrometry-based metabolomic analysis to characterize molecular alterations associated with ESCC. This article is part of a Special Issue entitled: Proteomics in India.
Oncotarget | 2016
Remya Raja; Nandini A. Sahasrabuddhe; Aneesha Radhakrishnan; Nazia Syed; Hitendra S. Solanki; Vinuth N. Puttamallesh; Sai A. Balaji; Vishalakshi Nanjappa; Keshava K. Datta; Niraj Babu; Santosh Renuse; Arun H. Patil; Evgeny Izumchenko; T. S. Keshava Prasad; Xiaofei Chang; Annapoorni Rangarajan; David Sidransky; Akhilesh Pandey; Harsha Gowda; Aditi Chatterjee
Epidemiological data clearly establishes cigarette smoking as one of the major cause for lung cancer worldwide. Recently, targeted therapy has become one of the most preferred modes of treatment for cancer. Though certain targeted therapies such as anti-EGFR are in clinical practice, they have shown limited success in lung cancer patients who are smokers. This demands discovery of alternative drug targets through systematic investigation of cigarette smoke-induced signaling mechanisms. To study the signaling events activated in response to cigarette smoke, we carried out SILAC-based phosphoproteomic analysis of H358 lung cancer cells chronically exposed to cigarette smoke. We identified 1,812 phosphosites, of which 278 phosphosites were hyperphosphorylated (≥ 3-fold) in H358 cells chronically exposed to cigarette smoke. Our data revealed hyperphosphorylation of S560 within the conserved kinase domain of PAK6. Activation of PAK6 is associated with various processes in cancer including metastasis. Mechanistic studies revealed that inhibition of PAK6 led to reduction in cell proliferation, migration and invasion of the cigarette smoke treated cells. Further, siRNA mediated silencing of PAK6 resulted in decreased invasive abilities in a panel of non-small cell lung cancer (NSCLC) cells. Consistently, mice bearing tumor xenograft showed reduced tumor growth upon treatment with PF-3758309 (group II PAK inhibitor). Immunohistochemical analysis revealed overexpression of PAK6 in 66.6% (52/78) of NSCLC cases in tissue microarrays. Taken together, our study indicates that PAK6 is a promising novel therapeutic target for NSCLC, especially in smokers.
Methods of Molecular Biology | 2016
Keshava K. Datta; Harsha Gowda
Annotation of protein coding genes in sequenced genomes has been routinely carried out using gene prediction programs guided by available transcript data. The advent of mass spectrometry has enabled the identification of proteins in a high-throughput manner. In addition to searching proteins annotated in public databases, mass spectrometry data can also be searched against conceptually translated genome as well as transcriptome to identify novel protein coding regions. This proteogenomics approach has resulted in the identification of novel protein coding regions in both prokaryotic and eukaryotic genomes. These studies have also revealed that some of the annotated noncoding RNAs and pseudogenes code for proteins. This approach is likely to become a part of most genome annotation workflows in the future. Here we describe a general methodology and approach that can be used for proteogenomics.
Proteomics | 2017
Richa Tiwari; Indrajit Sahu; Bihari lal Soni; Gajanan Sathe; Keshava K. Datta; Pankaj Thapa; Shruti Sinha; Chella Krishna Vadivel; Bharti Dhaka; Harsha Gowda; Milind M. Vaidya
Keratin 8/18, a simple epithelia specific keratin pair, is often aberrantly expressed in squamous cell carcinomas (SCC) where its expression is correlated with increased invasion and poor prognosis. Majority of Keratin 8 (K8) functions are governed by its phosphorylation at Serine73 (head‐domain) and Serine431 (tail‐domain) residues. Although, deregulation of K8 phosphorylation is associated with progression of different carcinomas, its role in skin‐SCC and the underlying mechanism is obscure. In this direction, we performed tandem mass tag‐based quantitative phosphoproteomics by expressing K8 wild type, phosphodead, and phosphomimetic mutants in K8‐deficient A431 cells. Further analysis of our phosphoproteomics data showed a significant proportion of total phosphoproteome associated with migratory, proliferative, and invasive potential of these cells to be differentially phosphorylated. Differential phosphorylation of CDK1T14,Y15, EIF4EBP1T46,T50, EIF4BS422, AKT1S1T246,S247, CTTN1T401,S405,Y421, and CAP1S307/309 in K8‐S73A/D mutant and CTTN1T401,S405,Y421, BUB1BS1043, and CARHSP1S30,S32 in K8‐S431A/D mutants as well as some anonymous phosphosites including MYCS176, ZYXS344, and PNNS692 could be potential candidates associated with K8 phosphorylation mediated tumorigenicity. Biochemical validation followed by phenotypic analysis further confirmed our quantitative phosphoproteomics data. In conclusion, our study provides the first global picture of K8 site‐specific phosphorylation function in neoplastic progression of A431 cells and suggests various potential starting points for further mechanistic studies.
Oncotarget | 2018
Jacinth Rajendra; Keshava K. Datta; Sheikh Burhan Ud Din Farooqee; Rahul Thorat; Kiran Kumar; Nilesh Gardi; Ekjot Kaur; Jyothi Nair; Sameer Salunkhe; Ketaki Patkar; Sanket Desai; Jayant S. Goda; Aliasgar Moiyadi; Amit Dutt; Prasanna Vankatraman; Harsha Gowda; Shilpee Dutt
Therapy resistance and recurrence in Glioblastoma is due to the presence of residual radiation resistant cells. However, because of their inaccessibility from patient biopsies, the molecular mechanisms driving their survival remain unexplored. Residual Radiation Resistant (RR) and Relapse (R) cells were captured using cellular radiation resistant model generated from patient derived primary cultures and cell lines. iTRAQ based quantitative proteomics was performed to identify pathways unique to RR cells followed by in vitro and in vivo experiments showing their role in radio-resistance. 2720 proteins were identified across Parent (P), RR and R population with 824 and 874 differential proteins in RR and R cells. Unsupervised clustering showed proteasome pathway as the most significantly deregulated pathway in RR cells. Concordantly, the RR cells displayed enhanced expression and activity of proteasome subunits, which triggered NFkB signalling. Pharmacological inhibition of proteasome activity led to impeded NFkB transcriptional activity, radio-sensitization of RR cells in vitro, and significantly reduced capacity to form orthotopic tumours in vivo. We demonstrate that combination of proteasome inhibitor with radio-therapy abolish the inaccessible residual resistant cells thereby preventing GBM recurrence. Furthermore, we identified first proteomic signature of RR cells that can be exploited for GBM therapeutics.