4 results on '"Balaganesh J"'
Search Results
2. Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis
- Author
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Swati Gandhi, Vishal Mevada, Varsha Bhavnani, Aparna Venkatachalam, Nagasuma Chandra, Anurag Passi, Gayathri S, Soumi Sengupta, Swetha Raghavan, Trupti Kholia, Anupam Kumar Mondal, Pankaj Kumar Singh, Samir K. Brahmachari, Debasis Dash, Tiruvayipati Suma Avasthi, Anup Shah, Girish Muthagadhalli Ramanna, Malarvizhi Gurusamy, Balaganesh J, Madhumohan Thandapani, Pratibha Sharma, Harsha Rohira, Arun Sharma, Anshula Arora, Prabhakaran Munusamy, Rohit Vashisht, Kumari Sonal Choudhary, Zakir Thomas, Keya Mukherjee, Ilamathi Raja, Raviraj Soni, Priti Vishnoi, Priyanka Priyadarshini, Shruti Rana, Ashwini G. Bhat, Vinod Scaria, Kaveri Verma, Rajesh Patel, Mohammed Razeeth, Ahalyaa Subramanian, Kausik Bhattacharyya, Salman Zaheer, Lakavath Chiranjeevi, Sweety Raj, Vijaya Chitra, Anshu Bhardwaj, Shefin Nisthar, Meenakshi Anurag, Vikas Kumar, Yasha Hasija, Naresh Atray, Akanksha Jain, Sunil N. Subramanya, and OSDD Consortium
- Subjects
Bacterial Diseases ,Drugs and Devices ,Drug Research and Development ,Proteome ,Science ,Gene regulatory network ,Genomics ,Context (language use) ,Computational biology ,Biology ,Genome ,Interactome ,Biochemistry ,Mycobacterium ,Drug Delivery Systems ,Bacterial Proteins ,Genome Analysis Tools ,ddc:570 ,Protein Interaction Mapping ,Drug Discovery ,Genetics ,Humans ,Tuberculosis ,Gene Regulatory Networks ,Protein Interactions ,Whole genome sequencing ,Multidisciplinary ,Drug discovery ,Macrophages ,Systems Biology ,Proteins ,Computational Biology ,Mycobacterium tuberculosis ,Infectious Diseases ,Host-Pathogen Interactions ,Crowdsourcing ,Medicine ,Gene Function ,Genome, Bacterial ,Signal Transduction ,Research Article - Abstract
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative `Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed `3interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.
- Published
- 2011
3. The Hallucinogenic Serotonin2A Receptor Agonist, 2,5-Dimethoxy-4-Iodoamphetamine, Promotes cAMP Response Element Binding Protein-Dependent Gene Expression of Specific Plasticity-Associated Genes in the Rodent Neocortex
- Author
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Lynette A. Desouza, Madhurima Benekareddy, Sashaina E. Fanibunda, Farhan Mohammad, Balaganesh Janakiraman, Utkarsha Ghai, Tamar Gur, Julie A. Blendy, and Vidita A. Vaidya
- Subjects
5-HT2A receptor ,cAMP response element binding protein ,immediate early gene ,BDNF ,Arc ,serotonergic psychedelic ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Psychedelic compounds that target the 5-HT2A receptor are reported to evoke psychoplastogenic effects, including enhanced dendritic arborization and synaptogenesis. Transcriptional regulation of neuronal plasticity-associated genes is implicated in the cytoarchitectural effects of serotonergic psychedelics, however, the transcription factors that drive this regulation are poorly elucidated. Here, we addressed the contribution of the transcription factor cyclic adenosine monophosphate (cAMP)-response element binding protein (CREB) in the regulation of neuronal plasticity-associated genes by the hallucinogenic 5-HT2A receptor agonist, 2,5-dimethoxy-4-iodoamphetamine (DOI). In vitro studies with rat cortical neurons indicated that DOI enhances the phosphorylation of CREB (pCREB) through mitogen-activated protein (MAP) kinase and calcium/calmodulin dependent kinase II (CaMKII) pathways, with both cascades contributing to the DOI-evoked upregulation of Arc, Bdnf1, Cebpb, and Egr2 expression, whilst the upregulation of Egr1 and cFos mRNA involved the MAP kinase and CaMKII pathway respectively. We observed a robust DOI-evoked increase in the expression of several neuronal plasticity-associated genes in the rat neocortex in vivo. This DOI-evoked upregulation of neuronal plasticity-associated genes was completely blocked by the 5-HT2A receptor antagonist MDL100,907 in vitro and was also abrogated in the neocortex of 5-HT2A receptor deficient mice. Further, 5-HT2A receptor stimulation enhanced pCREB enrichment at putative cAMP response element (CRE) binding sites in the Arc, Bdnf1, Cebpb, cFos, but not Egr1 and Egr2, promoters in the rodent neocortex. The DOI-mediated transcriptional induction of Arc, cFos and Cebpb was significantly attenuated in the neocortex of CREB deficient/knockout (CREBαδ KO) mice. Collectively, these results indicate that the hallucinogenic 5-HT2A receptor agonist DOI leads to a rapid transcriptional upregulation of several neuronal plasticity-associated genes, with a subset of them exhibiting a CREB-dependent regulation. Our findings raise the intriguing possibility that similar to slow-acting classical antidepressants, rapid-action serotonergic psychedelics that target the 5-HT2A receptor may also recruit the transcription factor CREB to enhance the expression of neuronal plasticity-associated genes in the neocortex, which could in turn contribute to the rapid psychoplastogenic changes evoked by these compounds.
- Published
- 2021
- Full Text
- View/download PDF
4. Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
- Author
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Vashisht R, Mondal AK, Jain A, Shah A, Vishnoi P, Priyadarshini P, Bhattacharyya K, Rohira H, Bhat AG, Passi A, Mukherjee K, Choudhary KS, Kumar V, Arora A, Munusamy P, Subramanian A, Venkatachalam A, Gayathri S, Raj S, Chitra V, Verma K, Zaheer S, Balaganesh J, Gurusamy M, Razeeth M, Raja I, Thandapani M, Mevada V, Soni R, Rana S, Ramanna GM, Raghavan S, Subramanya SN, Kholia T, Patel R, Bhavnani V, Chiranjeevi L, Sengupta S, Singh PK, Atray N, Gandhi S, Avasthi TS, Nisthar S, Anurag M, Sharma P, Hasija Y, Dash D, Sharma A, Scaria V, Thomas Z, Chandra N, Brahmachari SK, and Bhardwaj A
- Subjects
- Bacterial Proteins genetics, Drug Delivery Systems statistics & numerical data, Gene Regulatory Networks, Genomics, Host-Pathogen Interactions, Humans, Mycobacterium tuberculosis pathogenicity, Protein Interaction Mapping, Proteome, Signal Transduction, Bacterial Proteins metabolism, Crowdsourcing, Drug Delivery Systems methods, Genome, Bacterial, Macrophages microbiology, Mycobacterium tuberculosis genetics, Mycobacterium tuberculosis metabolism
- Abstract
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative 'Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed 'interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.
- Published
- 2012
- Full Text
- View/download PDF
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