@article {1604, title = {Derivation of iPSC lines from two patients with familial Alzheimer{\textquoteright}s disease from India.}, journal = {Stem Cell Res}, volume = {34}, year = {2019}, month = {2019 Jan}, pages = {101370}, abstract = {

The current prevalence of diagnosable dementia in India is 1\% of people over 60 years (~3.7 million people), but is estimated to increase significantly, as ~15\% world{\textquoteright}s aged population (\>65 years) would be resident here by 2020 (Shah et al., 2016). While several mutations that pose a familial risk have been identified, the ethnic background may influence disease susceptibility, clinical presentation and treatment response. In this study, we report a detailed characterization of two representative HiPSC lines from a well-characterized dementia cohort from India. Availability of these lines, and associated molecular and clinical information, would be useful in the detailed exploration of the genomic contribution(s) to AD.

}, issn = {1876-7753}, doi = {10.1016/j.scr.2018.101370}, author = {Najar, Ashaq H and Sneha, K M and Ashok, Aparna and Babu, Swathy and Subramaniam, Anand G and Kannan, Ramkrishnan and Viswanath, Biju and Purushottam, Meera and Varghese, Mathew and Parvez, Suhel and Panicker, Mitradas M and Mukherjee, Odity and Jain, Sanjeev} } @article {1607, title = {Exome sequencing in families with severe mental illness identifies novel and rare variants in genes implicated in Mendelian neuropsychiatric syndromes.}, journal = {Psychiatry Clin Neurosci}, volume = {73}, year = {2019}, month = {2019 Jan}, pages = {11-19}, abstract = {

AIM: Severe mental illnesses (SMI), such as bipolar disorder and schizophrenia, are highly heritable, and have a complex pattern of inheritance. Genome-wide association studies detect a part of the heritability, which can be attributed to common genetic variation. Examination of rare variants with next-generation sequencing may add to the understanding of the genetic architecture of SMI.

METHODS: We analyzed 32 ill subjects from eight multiplex families and 33 healthy individuals using whole-exome sequencing. Prioritized variants were selected by a three-step filtering process, which included: deleteriousness by five in silico algorithms; sharing within families by affected individuals; rarity in South Asian sample estimated using the Exome Aggregation Consortium data; and complete absence of these variants in control individuals from the same gene pool.

RESULTS: We identified 42 rare, non-synonymous deleterious variants (~5 per pedigree) in this study. None of the variants were shared across families, indicating a {\textquoteright}private{\textquoteright} mutational profile. Twenty (47.6\%) of the variant harboring genes were previously reported to contribute to the risk of diverse neuropsychiatric syndromes, nine (21.4\%) of which were of Mendelian inheritance. These included genes carrying novel deleterious variants, such as the GRM1 gene implicated in spinocerebellar ataxia 44 and the NIPBL gene implicated in Cornelia de Lange syndrome.

CONCLUSION: Next-generation sequencing approaches in family-based studies are useful to identify novel and rare variants in genes for complex disorders like SMI. The findings of the study suggest a potential phenotypic burden of rare variants in Mendelian disease genes, indicating pleiotropic effects in the etiology of SMI.

}, keywords = {Bipolar Disorder, Exome, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Pedigree, Phenotype, Schizophrenia}, issn = {1440-1819}, doi = {10.1111/pcn.12788}, author = {Ganesh, Suhas and Ahmed P, Husayn and Nadella, Ravi K and More, Ravi P and Seshadri, Manasa and Viswanath, Biju and Rao, Mahendra and Jain, Sanjeev and Mukherjee, Odity} } @article {1613, title = {INDEX-db: The Indian Exome Reference Database (Phase I).}, journal = {J Comput Biol}, volume = {26}, year = {2019}, month = {2019 Mar}, pages = {225-234}, abstract = {

Deep sequencing-based genetic mapping has greatly enhanced the ability to catalog variants with plausible disease association. Confirming how these identified variants contribute to specific disease conditions, across human populations, poses the next challenge. Differential selection pressure may impact the frequency of genetic variations, and thus detection of association with disease conditions, across populations. To understand genotype to phenotype correlations, it thus becomes important to first understand the spectrum of genetic variation within a population by creating a reference map. In this study, we report the development of phase I of a new database of genetic variations called INDian EXome database (INDEX-db), from the Indian population, with an aim to establish a centralized database of integrated information. This could be useful for researchers involved in studying disease mechanisms at clinical, genetic, and cellular levels.

}, issn = {1557-8666}, doi = {10.1089/cmb.2018.0199}, author = {Ahmed P, Husayn and V, Vidhya and More, Ravi Prabhakar and Viswanath, Biju and Jain, Sanjeev and Rao, Mahendra S and Mukherjee, Odity} } @article {1600, title = {Making NSC and Neurons from Patient-Derived Tissue Samples.}, journal = {Methods Mol Biol}, volume = {1919}, year = {2019}, month = {2019}, pages = {9-24}, abstract = {

The human brain and mechanisms underlying its functioning has been a field of intense research due to its complexity, inaccessibility, and the large numbers of debilitating disorders affecting this organ. Model organisms have provided great insight into the functioning of the mammalian brain; however, there exist many features unique to humans which need detailed understanding. In this context, human pluripotent stem cells (HPSCs) have emerged as a promising resource.In the developing brain, cortical diversification is achieved by neural stem cells/neural progenitor cells (NSCs/NPCs) by altering its potency (from multipotent to unipotent) and differentiation capacity (from neurogenesis to gliogenesis). Recent development in tissue reprogramming allows for derivation of NSCs/NPCs from either healthy control subjects manipulated to carry disease mutations or affected individuals carrying specific disease-causing mutations allowing for detailed evaluation of cellular phenotype, pharmacological manipulation, and/or toxicological screening.In this chapter, we will discuss HPSC differentiation into neural stem cells (NSCs) and neurons. We will review the mechanism underlying in vivo neural differentiation and methods which recapitulate this in vitro. We describe a method of deriving NSCs and differentiated mature neurons highlighting key steps of the core protocol. We also provide detailed information of the transcription factor and morphogen map of the developing brain which can be used as a guide to derive region- and lineage-specific NSCs and differentiated neurons.

}, issn = {1940-6029}, doi = {10.1007/978-1-4939-9007-8_2}, author = {Mukherjee, Odity and Acharya, Shubhra and Rao, Mahendra} } @article {1579, title = {Developing two reference control samples for the Indian population.}, journal = {Stem Cell Res}, volume = {30}, year = {2018}, month = {2018 07}, pages = {38-42}, abstract = {

Human induced Pluripotent Stem Cells (HiPSCs) have immense potential in research and therapeutics. Under the aegis of Department of Biotechnology funded national program entitled, "The Accelerator program for Discovery in Brain Disorders using Stem Cells (ADBS)" we have established a HiPSC biorepository (https://www.ncbs.res.in/adbs/bio-repository) with an objective to study severe mental illness. The repository comprises of HiPSC lines derived from healthy control donors and individuals with life time diagnosis of severe mental illness from dense families. In the current report we submit information regarding two population control reference lines (male = 1; female = 1) from this biorepository.

}, keywords = {Cell Differentiation, Humans, India, Induced Pluripotent Stem Cells}, issn = {1876-7753}, doi = {10.1016/j.scr.2018.05.001}, author = {Iyer, Shruti and Bhatia, Priyanka and Rao, Mahendra and Mukherjee, Odity} } @article {1149, title = {Discovery biology of neuropsychiatric syndromes (DBNS): a center for integrating clinical medicine and basic science.}, journal = {BMC Psychiatry}, volume = {18}, year = {2018}, month = {2018 Apr 18}, pages = {106}, abstract = {

BACKGROUND: There is emerging evidence that there are shared genetic, environmental and developmental risk factors in psychiatry, that cut across traditional diagnostic boundaries. With this background, the Discovery biology of neuropsychiatric syndromes (DBNS) proposes to recruit patients from five different syndromes (schizophrenia, bipolar disorder, obsessive compulsive disorder, Alzheimer{\textquoteright}s dementia and substance use disorders), identify those with multiple affected relatives, and invite these families to participate in this study. The families will be assessed: 1) To compare neuro-endophenotype measures between patients, first degree relatives (FDR) and healthy controls., 2) To identify cellular phenotypes which differentiate the groups., 3) To examine the longitudinal course of neuro-endophenotype measures., 4) To identify measures which correlate with outcome, and 5) To create a unified digital database and biorepository.

METHODS: The identification of the index participants will occur at well-established specialty clinics. The selected individuals will have a strong family history (with at least another affected FDR) of mental illness. We will also recruit healthy controls without family history of such illness. All recruited individuals (N = 4500) will undergo brief clinical assessments and a blood sample will be drawn for isolation of DNA and peripheral blood mononuclear cells (PBMCs). From among this set, a subset of 1500 individuals (300 families and 300 controls) will be assessed on several additional assessments [detailed clinical assessments, endophenotype measures (neuroimaging- structural and functional, neuropsychology, psychophysics-electroencephalography, functional near infrared spectroscopy, eye movement tracking)], with the intention of conducting repeated measurements every alternate year. PBMCs from this set will be used to generate lymphoblastoid cell lines, and a subset of these would be converted to induced pluripotent stem cell lines and also undergo whole exome sequencing.

DISCUSSION: We hope to identify unique and overlapping brain endophenotypes for major psychiatric syndromes. In a proportion of subjects, we expect these neuro-endophenotypes to progress over time and to predict treatment outcome. Similarly, cellular assays could differentiate cell lines derived from such groups. The repository of biomaterials as well as digital datasets of clinical parameters, will serve as a valuable resource for the broader scientific community who wish to address research questions in the area.

}, issn = {1471-244X}, doi = {10.1186/s12888-018-1674-2}, author = {Viswanath, Biju and Rao, Naren P and Narayanaswamy, Janardhanan C and Sivakumar, Palanimuthu T and Kandasamy, Arun and Kesavan, Muralidharan and Mehta, Urvakhsh Meherwan and Venkatasubramanian, Ganesan and John, John P and Mukherjee, Odity and Purushottam, Meera and Kannan, Ramakrishnan and Mehta, Bhupesh and Kandavel, Thennarasu and Binukumar, B and Saini, Jitender and Jayarajan, Deepak and Shyamsundar, A and Moirangthem, Sydney and Vijay Kumar, K G and Thirthalli, Jagadisha and Chandra, Prabha S and Gangadhar, Bangalore N and Murthy, Pratima and Panicker, Mitradas M and Bhalla, Upinder S and Chattarji, Sumantra and Benegal, Vivek and Varghese, Mathew and Reddy, Janardhan Y C and Raghu, Padinjat and Rao, Mahendra and Jain, Sanjeev} } @article {1583, title = {Mutation burden profile in familial Alzheimer{\textquoteright}s disease cases from India.}, journal = {Neurobiol Aging}, volume = {64}, year = {2018}, month = {2018 04}, pages = {158.e7-158.e13}, abstract = {

This study attempts to identify coding risk variants in genes previously implicated in Alzheimer{\textquoteright}s disease (AD) pathways, through whole-exome sequencing of subjects (N\ = 17) with AD, with a positive family history of dementia (familial AD). We attempted to evaluate the mutation burden in genes encoding amyloid precursor protein metabolism and previously linked to risk of dementias. Novel variants were identified in genes involved in amyloid precursor protein metabolism such as PSEN1 (chr 14:73653575, W161C, tgg \> tgT), PLAT (chr 8:42039530,G272R), and SORL1 (chr11:121414373,G601D). The mutation burden assessment of dementia-related genes for all 17 cases revealed 45 variants, which were either shared across subjects, or were present in just the 1 patient. The study shows that the clinical characteristics, and genetic correlates, obtained in this sample are broadly comparable to the other studies that have investigated familial forms of AD. Our study identifies rare deleterious genetic variations, in the coding region of genes involved in amyloid signaling, and other dementia-associated pathways.

}, keywords = {Aged, Alzheimer Disease, Amyloid beta-Protein Precursor, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Humans, India, LDL-Receptor Related Proteins, Membrane Transport Proteins, Middle Aged, Mutation, Presenilin-1, Risk, Signal Transduction, Tissue Plasminogen Activator, Whole Exome Sequencing}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2017.12.002}, author = {Syama, Adhikarla and Sen, Somdatta and Kota, Lakshmi Narayanan and Viswanath, Biju and Purushottam, Meera and Varghese, Mathew and Jain, Sanjeev and Panicker, Mitradas M and Mukherjee, Odity} }