Search Results - "Nair, T. Murlidharan"

Neonatal thyroxine activation modifies epigenetic programming of the liver by Fonseca, Tatiana L., Garcia, Tzintzuni, Fernandes, Gustavo W., Nair, T. Murlidharan, Bianco, Antonio C.

“…The type 2 deiodinase (D2) in the neonatal liver accelerates local thyroid hormone triiodothyronine (T3) production and expression of T3-responsive genes. Here…”
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Adenomatous Polyposis Coli loss controls cell cycle regulators and response to paclitaxel in MDA-MB-157 metaplastic breast cancer cells by Astarita, Emily M, Maloney, Sara M, Hoover, Camden A, Berkeley, Bronwyn J, VanKlompenberg, Monica K, Nair, T Murlidharan, Prosperi, Jenifer R

“…Adenomatous Polyposis Coli (APC) is lost in approximately 70% of sporadic breast cancers, with an inclination towards triple negative breast cancer (TNBC)…”
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Bcl-2 Up-Regulation Mediates Taxane Resistance Downstream of APC Loss by Wise, Angelique R, Maloney, Sara, Hering, Adam, Zabala, Sarah, Richmond, Grace E, VanKlompenberg, Monica K, Nair, Murlidharan T, Prosperi, Jenifer R

“…Triple-negative breast cancer (TNBC) patients are treated with traditional chemotherapy, such as the taxane class of drugs. One such drug, paclitaxel (PTX),…”
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Building and Interpreting Artificial Neural Network Models for Biological Systems by Nair, T Murlidharan

“…Biology has become a data driven science largely due to the technological advances that have generated large volumes of data. To extract meaningful information…”
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Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia by Nair, T. Murlidharan

“…[Display omitted] •Preeclampsia is a complex disease which makes identification of biomarkers difficult.•Analysis of microarray data reveals heterogeneity…”
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Two-dimensional transcriptome profiling : Identification of messenger RNA isoform signatures in prostate cancer from archived paraffin-embedded cancer specimens by LI, Hai-Ri, WANG-RODRIGUEZ, Jessica, FU, Xiang-Dong, FAN, Jian-Bing, MURLIDHARAN NAIR, T, YEAKLEY, Joanne M, KWON, Young-Soo, BIBIKOVA, Marina, ZHENG, Christina, LIXIN ZHOU, KUI ZHANG, DOWNS, Tracy

“…The expression of specific mRNA isoforms may uniquely reflect the biological state of a cell because it reflects the integrated outcome of both transcriptional…”
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MAASE: an alternative splicing database designed for supporting splicing microarray applications by Zheng, Christina L, Kwon, Young-Soo, Li, Hai-Ri, Zhang, Kui, Coutinho-Mansfield, Gabriela, Yang, Canzhu, Nair, T Murlidharan, Gribskov, Michael, Fu, Xiang-Dong

“…Alternative splicing is a prominent feature of higher eukaryotes. Understanding of the function of mRNA isoforms and the regulation of alternative splicing is…”
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Characterization of the yeast ionome: a genome-wide analysis of nutrient mineral and trace element homeostasis in Saccharomyces cerevisiae by Eide, David J, Clark, Suzanne, Nair, T Murlidharan, Gehl, Mathias, Gribskov, Michael, Guerinot, Mary Lou, Harper, Jeffrey F

“…Nutrient minerals are essential yet potentially toxic, and homeostatic mechanisms are required to regulate their intracellular levels. We describe here a…”
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Sequence periodicity in nucleosomal DNA and intrinsic curvature by Nair, T Murlidharan

“…Most eukaryotic DNA contained in the nucleus is packaged by wrapping DNA around histone octamers. Histones are ubiquitous and bind most regions of chromosomal…”
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On selecting mRNA isoform features for profiling prostate cancer by Nair, T. Murlidharan

“…Alternative splicing of human pre-mRNA is a very common phenomenon and is a major contributor to proteome diversity. mRNA isoforms that arise as a result of…”
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On Selecting Features from Splice Junctions: An Analysis Using Information Theoretic and Machine Learning Approaches by Zheng, Christina L., Sa, Virginia R. De, Gribskov, Michael, Nair, T. Murlidharan

“…The computational recognition of precise splice junctions is a challenge faced in the analysis of newly sequenced genomes. This is challenging due to the fact…”
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The PlantsP and PlantsT Functional Genomics Databases by Tchieu, Jason H., Fana, Fariba, Fink, J. Lynn, Harper, Jeffrey, Nair, T. Murlidharan, Niedner, R. Hannes, Smith, Douglas W., Steube, Kenneth, Tam, Tobey M., Veretnik, Stella, Wang, Degeng, Gribskov, Michael

“…PlantsP and PlantsT allow users to quickly gain a global understanding of plant phosphoproteins and plant membrane transporters, respectively, from…”
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Analysis of isoform expression from splicing array using multiple comparisons by Nair, T Murlidharan

“…There is a high prevalence of alternatively spliced genes (isoforms) in the human genome. Studies toward understanding aberrantly spliced genes and their…”
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Surface plasmon resonance kinetic studies of the HIV TAR RNA kissing hairpin complex and its stabilization by 2-thiouridine modification by Nair, T M, Myszka, D G, Davis, D R

“…Surface plasmon resonance (BIACORE) was used to determine the kinetic values for formation of the HIV TAR-TAR* ('kissing hairpin') RNA complex. The TAR…”
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Rival penalized competitive learning (RPCL): a topology-determining algorithm for analyzing gene expression data by Nair, T.Murlidharan, Zheng, Christina L., Fink, J.Lynn, Stuart, Robert O., Gribskov, Michael

“…DNA arrays have become the immediate choice in the analysis of large-scale expression measurements. Understanding the expression pattern of genes provide…”
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On the role of a mutational database in building artificial intelligence models for understanding gene expression by Nair, T. Murlidharan, Kulkarni, B. D.

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Adenomatous Polyposis Coli loss controls cell cycle regulators and response to paclitaxel in MDA-MB-157 metaplastic breast cancer cells by Emily M. Astarita, Sara M. Maloney, Camden A. Hoover, Bronwyn J. Berkeley, Monica K. VanKlompenberg, T. Murlidharan Nair, Jenifer R. Prosperi

“…Adenomatous Polyposis Coli (APC) is lost in approximately 70% of sporadic breast cancers, with an inclination towards triple negative breast cancer (TNBC)…”
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Analysis of transcription control signals using artificial neural networks by Nair, T.Murlidharan, Tambe, Sanjeev S., Kulkarni, B.D.

“…The role of the upstream region in controlling the transcription efficiency of a gene is well established. However, the question of predicting the extent of…”
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Differential binding of RNA polymerase to the wild type Mu mom promoter and its C independent mutant: a theoretical analysis by Murlidharan Nair, T., Kulkarni, B.D., Nagaraja, V.

“…Using the theoretical model for DNA bending we have analyzed the Mu mom promoter wild type and its mutant tin7 which showed differential binding to the RNA…”
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Understanding heterogeneity in pregnancy-associated breast cancer by Nair, T. Murlidharan

“…Breast cancers diagnosed during pregnancy are generally in their advanced stages. These cancers occurring during pregnancy and up to one year postpartum are…”
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