Personal Profile
Personal information:
Isaac Cherian
3rd year Ph.D student
School of Life Sciences
Jawaharlal Nehru University
New Delhi
PIN - 110067
Hello, my name is Isaac Cherian, a PMRF scholar pursuing Ph.D in structural, functional and phenotypic analysis of enzymes in GPI biosynthetic pathway of human fungal pathogen Candida albicans at Glycobiology and Biophysical Chemistry Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi (India) under the supervision of Prof. Sneha Sudha Komath [Google Scholar]
For further information, please go through my CV
Research:
Our lab focusses on understanding the mechanism of GPI anchor biosynthesis in Candida albicans.
Glycosylphosphatidylinositol (GPI) biosynthesis is a ubiquitous post-translational modification in eukaryotes which attaches a glycolipid anchor to proteins. GPI anchored proteins (GPI-APs) form a major part of the outer surface of C. albicans cell wall. They are required for survival, signalling, cell-wall biogenesis, host-recognition, adhesion, virulence and numerous enzymic activities. They also contribute to cell wall integrity, invasion and protection against immune cells.
The GPI anchor is first synthesized in the ER via a sequential pathway involving several enzymes and further attached to proteins that carry GPI anchor attachment signal sequence. Later steps of GPI anchor remodelling take place in ER and Golgi after protein transfer followed by presentation of GPI-APs at plasma membrane and/or cell wall. The schematic representation below shows GPI biosynthetic pathway in ER lumen.
Figure. GPI biosynthetic pathway occurring in ER lumen in yeast (Komath et al. (2018), International Union of Biochemistry and Molecular Biology, volume 70, number 5, pages 355–383)
My work focusses on structural, functional and phenotypic glycosylphosphatidylinositol transamidase (GPIT), a key enzyme in GPI biosynthesis pathway that acts as an endopeptidase which removes the signal sequence from the C-terminal end of newly translated protein and transfers the complete precursor glycoprotein in the ER to C-terminal end of newly synthesized protein in ER lumen. In mammals and yeast, GPI transamidase (GPIT) is supposed to be made up of 5 subunits, GAA1(mammals)/Gaa1(yeast), PIGK/Gpi8, PIGT/Gpi16, PIGS/Gpi17 and PIGU/Gab1.
Several structural characterization studies in understanding GPIT in humans and yeast is underway. In S. cerevisiae, a complex constituting Gpi8, Gpi16 and Gaa1 with molecular weight of ~430-650 kDa was isolated on blue native PAGE after solubilization in digitonin. The combined molecular weight of the individual monomers is expected to be ~200 kDa, suggesting that the monomers form a trimer in solution. Based on these data and other information obtained through molecular weight analysis of human (~480-720 kDa) and yeast GPIT, it is expected that the enzyme complex might exists as a dimer of heteropentamer. No other studies regarding the roles or stoichiometry of GPIT complex as whole in C. albicans is available. Understanding the structure and function of GPIT will gives us insight into molecular details of the catalytic mechanism of the enzyme and enable generation of species-specific inhibitors of this crucial biosynthetic step in the long run, which would have significant clinical implications.
Previous analysis of mutants associated with GPIT had proved that they show various phenotypic changes as compared to the wild type. Such phenotypic changes in these mutants (defects in growth, increased cell size and cell wall alterations, hyperfilamentation, sensitivity to tunicamycin and resistance towards towards azoles and amphotericin B, reduced enzymatic activity and GPI-AP expression and other changes) suggests the importance or essentiality of GPIT not only in GPI biosynthetic pathway but also in maintaining the growth and viability of such lower eukaryotes. Therefore, phenotypic characterization of mutants associated with each subunit of GPIT should give much insight into their importance in C. albicans. Furthermore, any regulatory mechanism associated with GPI biosynthetic pathway and other pathway could also be understood through phenotypic characterization.
Educational Qualifications:
2021 Jawaharlal Nehru University, New Delhi, India
- Doctor of Philosophy (Ph.D) Field of study – Life Sciences
present Title of work - “Characterization of Candida albicans glycosylphosphatidylinositol transamidase”
Guide – Prof. Sneha Sudha Komath, School of Life Sciences, Jawaharlal Nehru University, New Delhi
Ph.D coursework (1st year):
Courses done during coursework-
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Research methodology - Theory
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Eukaryotic gene expression - II
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Molecular biophysics
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Cell signalling
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Research methodology - Experimental
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Term paper, research proposal and seminar
CGPA- 8.25 (out of 9.0)
2018 Central University of Kerala, Kasaragod, Kerala, India
- Master of Science (M.Sc.) Major - Biochemistry and Molecular Biology
2020 CGPA (out of 10)- 8.47 Percentage- 84.7 %
Thesis - “Identification and characterization of miRNA-like tRFs in Oryza sativa”
2015 CMS (Christian Missionary School) College, Kottayam, Kerala, India
- Bachelor of Science (B.Sc.) Major - Botany and Biotechnology
2018 CGPA (out of 10)- 9.37 Percentage- 89.7 %
Thesis - “In Silico prediction of disease-causing SNPs and corresponding protein stability in UCHL1 gene"
2013 Fatima Central School, Piravom, Ernakulam, Kerala, India
- Intermediate (12th grade) Board- Central Board of Secondary Education (CBSE)
2014 Percentage- 75.3 %
2011 Fatima Central School, Piravom, Ernakulam, Kerala, India
- Matriculation (10th grade) Board- Central Board of Secondary Education (CBSE)
2012 CGPA (out of 10)- 10 Percentage- 95.0 %
Research experience:
Jan 2021 Doctor of Philosophy “Characterization of Candida albicans glycosylphosphatidylinositol - transamidase”
Present -Phenotypic characterization of different C. albicans GPIT subunits with reference to growth, viability, hyphal growth and response to antifungal drugs.
-Understanding the catalytic mechanism of C. albicans GPIT complex.
-Structural and stoichiometric characterization of GPIT.
Guide- Prof. Sneha Sudha Komath, School of Life Sciences, Jawaharlal Nehru University, New Delhi.
Oct 2019 Postgraduate dissertation “Identification and characterization of miRNA-like tRFs in Oryza – sativa”
Mar 2020 -Identification of tRFs (tRNA-derived fragments) having miRNA similarity.
-Bioinformatic analysis of gene regulation by tRFs and gene ontology to identify regulated functions.
-Expression analysis of each tRF in rice seedlings using qRT-PCR analysis.
Supervisor- Dr. Thejaswini Venkatesh, Assist. professor, Dept. of Biochemistry and Molecular Biology, Central University of Kerala.
Sep 2019 Academic project “In Silico analysis of COSMIC retrieved P body gene mutations in breast cancer”
– -Retrieval and identification of SNPs in P body-related genes causative of breast cancer.
Oct 2019 -Understanding stability and structural changes in mutant proteins through computational methods.
Supervisor- Dr. Thejaswini Venkatesh, Assist. professor, Dept. of Biochemistry and Molecular Biology, Central University of Kerala.
Oct 2017 Undergraduate dissertation “In Silico prediction of disease-causing SNPs and corresponding – protein stability in UCHL1 gene”
Mar 2018 -Retrieval and identification of SNPs in UCHL1 related to neurodegeneration.
-Understanding stability and structural changes in mutant proteins through computational methods.
Supervisor- Prisho Mariam Paul, Lecturer, Dept. of Botany and Biotechnology, CMS College, Kottayam, Kerala, India.
Research achievements:
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Partial standardization of immunoprecipitation by studying interactions of subunits in GPI-GnT complex.
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Cloned CaGPI17 into pACT1-URA3 and transformed it into CaGPI17Hz to generate CaGPI17 rev.
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Generated CaGPI17Hz and CaGPI17 null in URA3 background to be used as controls for revertant confirmation.
Teaching experience:
Jan 2023 Worked as a teaching assistant in Department of Biomedical Sciences, ANDC, University of Delhi till present under Dr. Urmi Bajpai (once a week for 2 hours).
Presentations:
March Poster presentation on “In Silico prediction of disease-causing SNPs and corresponding protein 2020 stability in UCHL1 gene”. International Symposium ‘Basic and Advanced Translational Immunology (BATI-2020)’, Central University of Kerala, India.
July Oral presentation on “In Silico prediction of disease-causing SNPs and corresponding protein 2020 stability in UCHL1 gene”. International Symposium ‘Converging Technologies for Human Welfare; Biotechnology, Nanotechnology and Information Technology- Concept to Common Life’, Mar Ivanios College, Trivandrum, Kerala, India.
Conferences:
2019 ‘HPV and Cancer Recent Advances 2019’, Malabar Cancer Centre, Thalassery, Kerala, India.
2018 ‘Plant-Microbe Interactions’, Dept. of Botany, Sree Neelakanta Govt. Sanskrit College, Pattambi, Kerala, India.
2015 ‘Mendelian Genetics to Present day Genomics’, CMS College, Kottayam, Kerala, India.
Awards and Honours:
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Prime Minister Research Fellow (PMRF) selected during lateral entry May 2021
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Selected for DST-INSPIRE fellowship for Ph.D 2021
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Qualified GATE XL (Life Sciences)
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Rank holder at university level for postgraduation (Rank 1, 2020)
University- Central University of Kerala, Kasaragod, Kerala, India
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Qualified DBT JRF (Category II), 2020
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Qualified CSIR NET LS, 2019
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Rank holder at university level for undergraduation (Rank 2, 2018)
University- Mahatma Gandhi University, Kottayam, Kerala, India
Publications:
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Cherian I., Premarajan V., Anitha B., Nizam A., Girish D., Kumar A., Suresh P S., Venkatesh T. In silico identification of rice and human miRNAs sequences within tRFs of Oryza sativa and expression analysis of rice tRFs with their corresponding miRNAs; Volume 149, September 2022, 487-495. https://doi.org/10.1016/j.sajb.2022.06.033 (Research article).
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Madhu A., Cherian I., Gautam A. K. Interdisciplinary approach to biomedical research: a panacea to efficient research output during the global pandemic; Volume 1, 2022, 331-347. https://doi.org/10.1016/B978-0-323-85156-5.00018-3 (Book chapter).
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Cherian I., Venkatesh T., Paul P. M. In silico Prediction of UCHL1 disease-causing SNPs and its effects on protein stability; Gene Reports, Volume 19, June 2020, 100677. https://doi.org/10.1016/j.genrep.2020.100677 (Research article).
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Paleri A. V.*, Cherian I.*, Suresh P. S., Venkatesh T.. In silico analysis of COSMIC retrieved P body gene mutations in breast cancer; Gene Reports, Volume 19, June 2020, 100617. https://doi.org/10.1016/j.genrep.2020.100617 (Research article).