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Biomedical subjects

Shrikant Mane

Publications and source records attributed to Shrikant Mane.

8 recordsLinked to original sources

Dysregulation of mTOR signalling is a converging mechanism in lissencephaly.

Cerebral cortex development in humans is a highly complex and orchestrated process that is under tight genetic regulation. Rare mutations that alter gene expression or function can disrupt the structure of the cerebral cortex, resulting in a range of neurological conditions1. Lissencephaly ('smooth brain') spectrum disorders comprise a group of rare, genetically heterogeneous congenital brain malformations commonly associated with epilepsy and intellectual disability2. However, the molecular mechanisms underlying disease pathogenesis remain unknown. Here we establish hypoactivity of the mTOR pathway as a clinically relevant molecular mechanism in lissencephaly spectrum disorders. We characterized two types of cerebral organoid derived from individuals with genetically distinct lissencephalies with a recessive mutation in p53-induced death domain protein 1 (PIDD1) or a heterozygous chromosome 17p13.3 microdeletion leading to Miller-Dieker lissencephaly syndrome (MDLS). PIDD1-mutant organoids and MDLS organoids recapitulated the thickened cortex typical of human lissencephaly and demonstrated dysregulation of protein translation, metabolism and the mTOR pathway. A brain-selective activator of mTOR complex 1 prevented and reversed cellular and molecular defects in the lissencephaly organoids. Our findings show that a converging molecular mechanism contributes to two genetically distinct lissencephaly spectrum disorders.

Humans↗

Molecular classification of doxazosin-induced alterations in the rat prostate using gene expression profiling.

We investigated molecular changes that occurred during chronic administration of doxazosin, an alpha1-adrenoceptor (AR) antagonist, using Affymetrix GeneChip analysis of gene expression. Rats were treated with doxazosin (4 mg/kg/day subcutaneously, supplemented with 4 mg/kg/day orally) for 12 weeks. Labeled cRNA was prepared and the subsequent hybridization to rat 230A arrays was performed. The alterations in gene expression levels of candidate genes identified by microarray analysis with potential biological relevance were verified by real-time reverse transcription polymerase chain reaction (RT-PCR) using SYBR Green I. Doxazosin treated rats had significantly heavier prostates compared to control rats. Microarray analysis revealed that chronic doxazosin treatment caused changes in the expression levels of 625 genes, of which 39 were related to cell death, necrosis, growth, proliferation and G-protein signalling pathways in the rat prostate. Furthermore, RT-PCR experiments, in accord with the microarray analysis, indicated that chronic doxazosin treatment caused an up-regulation in the mRNA expression level of clusterin, an antiapoptotic mediator, and epiregulin, a mitogen, in the ventral and dorsolateral prostate, respectively. These findings, that demonstrate chronic doxazosin administration causes significant changes in the expression of several hundred genes in the rat prostate, may provide insight into the long-term efficacy of alpha1-AR antagonists in the treatment of benign prostatic hyperplasia.

Administration, Oral↗

Aquaporin-4 is increased in the sclerotic hippocampus in human temporal lobe epilepsy.

The hippocampus of patients with mesial temporal lobe epilepsy is often hardened and shrunken, a condition known as sclerosis. Magnetic resonance imaging reveals an increase in the T2-weighted signal, while diffusion weighted imaging shows a higher apparent diffusion coefficient in sclerotic hippocampi, indicating increased water content. As water transport appears to be coupled to K+ clearance and neuronal excitability [4], the molecular basis of the perturbed water homeostasis in the sclerotic hippocampus was explored. The expression of aquaporin-4 (AQP-4), the predominant water channel in the brain, was studied with quantitative real time PCR analysis, light microscopic immunohistochemistry and high-resolution immunogold labeling. A significant increase in AQP-4 was observed in sclerotic, but not in non-sclerotic, hippocampi obtained from patients with medically intractable temporal lobe epilepsy. This increase was positively correlated with an increase in the astrocyte marker glial fibrillary acidic protein. AQP-4 was localized to the plasma membranes of astrocytes including the perivascular end-feet. Gene expression associated with increased AQP-4 was evaluated by high throughput gene expression analysis using Affymetrix GeneChip U133A and related gene networks were investigated with Ingenuity Pathways Analysis. AQP-4 expression was associated with a decrease in expression of the dystrophin gene, a protein implicated in the anchoring of AQP-4 in perivascular endfeet. The decreased expression of dystrophin may indicate a loss of polarity in the distribution of AQP-4 in astrocytes. We conclude that the perturbed expression of AQP-4 and dystrophin may be one factor underlying the loss of ion and water homeostasis in the sclerotic hippocampus and hypothesize that the reported changes may contribute to the epileptogenic properties of the sclerotic tissue.

Adult↗

KARMA: a web server application for comparing and annotating heterogeneous microarray platforms.

We have developed a universal web server application (KARMA) that allows comparison and annotation of user-defined pairs of microarray platforms based on diverse types of genome annotation data (across different species) collected from multiple sources. The application is an effective tool for diverse microarray platforms, including arrays that are provided by (i) the Keck Microarray Resource at Yale, (ii) commercially available Affymetrix GeneChips and spotted arrays and (iii) custom arrays made by individual academics. The tool provides a web interface that allows users to input pairs of test files that represent diverse array platforms for either single or multiple species. The program dynamically identifies analogous DNA fragments spotted or synthesized on multiple microarray platforms based on the following types of information: (i) NCBI-Unigene identifiers, if the platforms being compared are within the same species or (ii) NCBI-Homologene data, if they are cross-species. The single-species comparison is implemented based on set operations: intersection, union and difference. Other forms of retrievable annotation data, including LocusLink, SwissProt and Gene Ontology (GO), are collected from multiple remote sites and stored in an integrated fashion using an Oracle database. The KARMA database, which is updated periodically, is available on line at the following URL: http://ymd.med.yale.edu/karma/cgi-bin/karma.pl.

Gene Expression Profiling↗

Constitutive expression of cytotoxic proteases and down-regulation of protease inhibitors in LGL leukemia.

Large granular lymphocyte (LGL) leukemia is a lymphoproliferative disorder often associated with rheumatoid arthritis. The etiology of LGL leukemia is not known. In order to better understand the pathogenesis of LGL leukemia, we analyzed differential gene expression using microarray technology. We found that approximately 80 genes were up-regulated and 12 genes were down-regulated when compared to normal peripheral blood mononuclear cells (PBMC). In the present study, we were interested in a group of genes involved in cytotoxic function. The up-regulated genes involved in cytotoxic function were serine proteinases (granzymes A, B, H and K) cysteine proteinases [cathepsin C, cathepsin W (lymphopain)], calpain small subunit and caspase-8. In addition, a pore-forming protein perforin, was also up-regulated. Northern blot analysis and RNase protection assays (RPA) confirmed that these genes were over-expressed in the majority of samples from LGL leukemia patients. Of interest, proteolytic inhibitors such as cystatin C, A, alpha-1 antitrypsin and metalloproteinase inhibitors were down-regulated in leukemic LGL when compared to normal peripheral blood mononuclear cells. Importantly, the pattern of gene expression in leukemic LGL resembles that seen in activated cytotoxic T cells (CTL).

Cathepsin C↗

Microarray results: how accurate are they?

BACKGROUND: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips, of the cDNA type and oligonucleotide type are available from several sources. The number of publications in this area is increasing exponentially. RESULTS: In this study, microarray data obtained from two different commercially available systems were critically evaluated. Our analysis revealed several inconsistencies in the data obtained from the two different microarrays. Problems encountered included inconsistent sequence fidelity of the spotted microarrays, variability of differential expression, low specificity of cDNA microarray probes, discrepancy in fold-change calculation and lack of probe specificity for different isoforms of a gene. CONCLUSIONS: In view of these pitfalls, data from microarray analysis need to be interpreted cautiously.

Alleles↗

Insights from gene arrays on the development and growth regulation of uterine leiomyomata.

OBJECTIVE: To use microarray analysis as an unbiased approach to identify genes involved in the induction and growth of uterine leiomyomata. DESIGN: Screen by arrays for up to 12,000 genes in leiomyoma (L) and control myometrium (M) from nine patients. SETTING: University research laboratories. PATIENT(S): Nine patients in the follicular and luteal phases of the menstrual cycle. INTERVENTION(S): mRNA from L and M was converted to biotin-labeled cRNA and hybridized to cDNA oligonucleotide sequences on the arrays. MAIN OUTCOME MEASURE(S): Greater than two-fold change in gene expression between leiomyoma and matched myometrium. RESULT(S): Prominent among the 67 genes overexpressed in L relative to M were dlk or Pref-1, doublecortin, JM27, ionotropic glutamate receptor subunit 2, apolipoprotein E3, IGF2, semaphorin F, myelin proteolipid protein, MEST, frizzled, CRABP II, stromelysin-3, and TGFbeta3. The genes dlk, IGF2, and MEST are paternally expressed imprinted genes, and the others are involved in tissue differentiation and growth. Prominent among the 78 genes down-regulated in L relative to M were alcohol dehydrogenases 1alpha-gamma, tryptase, dermatopontin, thrombospondin, coxsackievirus receptor, nur77, and c-kit. CONCLUSION(S): Arrays offer large-scale screening of mRNA expression, which will help us differentiate between the genes and metabolic pathways necessary for leiomyoma growth and those regulating myometrial contractions.

Adult↗

A simple method to improve probe set estimates from oligonucleotide arrays.

A popular commercially available oligonucleotide microarray technology employs sets of 25 base pair oligonucleotide probes for measurement of gene expression levels. A mathematical algorithm is required to compute an estimate of gene expression from the multiple probes. Previously proposed methods for summarizing gene expression data have either been substantially ad hoc or have relied on model assumptions that may be easily violated. Here we present a new algorithm for calculating gene expression from probe sets. Our approach is functionally related to leave-one-out cross-validation, a non-parametric statistical technique that is often applied in limited data situations. We illustrate this approach using data from our study seeking a molecular fingerprint of STAT3 regulated genes for early detection of human cancer.

Algorithms↗