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Dive into the research topics where Mamatha Mahadevappa is active.

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Featured researches published by Mamatha Mahadevappa.


Proceedings of the National Academy of Sciences of the United States of America | 2002

BRCA1 transcriptionally regulates genes involved in breast tumorigenesis

Piri Welcsh; Ming K. Lee; Rachel M. Gonzalez-Hernandez; Daniel J. Black; Mamatha Mahadevappa; Elizabeth M. Swisher; Janet A. Warrington; Mary Claire King

Loss of function of BRCA1 caused by inherited mutation and tissue-specific somatic mutation leads to breast and ovarian cancer. Nearly all BRCA1 germ-line mutations involve truncation or loss of the C-terminal BRCT transcriptional activation domain, suggesting that transcriptional regulation is a critical function of the wild-type gene. The purpose of this project was to determine whether there is a link between the role of BRCA1 in transcriptional regulation and its role in tumor suppression. We developed a cell line (in which BRCA1 can be induced) and used microarray analysis to compare transcription profiles of epithelial cells with low endogenous levels of BRCA1 vs. transcription profiles of cells with 2–4-fold higher induced levels of expression of BRCA1. At these levels of expression, BRCA1 did not induce apoptosis. Undirected cluster analysis of six paired experiments revealed 373 genes, the expression of which was altered significantly and consistently by BRCA1 induction. Expression of 62 genes was altered more than 2-fold. BRCA1-regulated genes associated with breast tumorigenesis included the estrogen-responsive genes MYC and cyclin D1, which are overexpressed in many breast tumors; STAT1 and JAK1, key components of the cytokine signal transduction pathway; the extracellular matrix protein laminin 3A; ID4, an inhibitor of DNA-binding transcriptional activators, which in turn negatively regulates BRCA1 expression; and the prohormone stanniocalcin, expression of which is lost in breast tumor cells. Coordinated expression of BRCA1 with ID4 and with stanniocalcin was confirmed in primary breast and ovarian tumors.


Oncogene | 2001

Oral cancer in vivo gene expression profiling assisted by laser capture microdissection and microarray analysis.

Ilias Alevizos; Mamatha Mahadevappa; Xue Zhang; Hiroe Ohyama; Yohko Kohno; Marshall R. Posner; George T. Gallagher; Mark A. Varvares; Donald M. Cohen; Dae Kim; Ralph Kent; R. Bruce Donoff; Randy Todd; Chou Ming Yung; Janet A. Warrington; David T. Wong

Large scale gene expression profiling was carried out on laser capture microdissected (LCM) tumor and normal oral epithelial cells and analysed on high-density oligonucleotide microarrays. About 600 genes were found to be oral cancer associated. These oral cancer associated genes include oncogenes, tumor suppressors, transcription factors, xenobiotic enzymes, metastatic proteins, differentiation markers, and genes that have not been implicated in oral cancer. The database created provides a verifiable global profile of gene expression during oral carcinogenesis, revealing the potential role of known genes as well as genes that have not been previously implicated in oral cancer.


The Journal of Urology | 2001

MOLECULAR GENETIC PROFILING OF GLEASON GRADE 4/5 PROSTATE CANCERS COMPARED TO BENIGN PROSTATIC HYPERPLASIA

Thomas A. Stamey; Janet A. Warrington; Mitchell C. Caldwell; Zuxiong Chen; Zhenbin Fan; Mamatha Mahadevappa; John E. McNEAL; Rosalie Nolley; Zhaomei Zhang

PURPOSE Because Gleason grade 4/5 cancer is the primary cause of failure to cure prostate cancer, we examined the molecular profiles of this high grade cancer in search of potentially new therapeutic interventions as well as better serum markers than prostate specific antigen. MATERIALS AND METHODS We compared the gene expressions in fresh frozen tissues from 9 men with Gleason grade 4/5 cancer to 8 men with benign prostatic hyperplasia (BPH) treated with radical retropubic prostatectomy. Labeled complementary RNA from each of the 17 tissues was applied to HuGeneFL probe arrays representing approximately 6,800 genes (Affymetrix, Inc., Santa Clara, California). After removing all genes undetectable in BPH and grade 4/5 cancers, and transforming the data into a parametric distribution, we chose only those up and down-regulated genes with a p difference in fluorescence between grade 4/5 cancer and BPH of p <0.0005. This value reduced the data set to 40 up-regulated and 111 down-regulated genes. We then eliminated all genes that were not expressed in all 8 BPH and 9 grade 4/5 tissues, which produced a final set of 86 genes, of which 22 were up-regulated and 64 were down-regulated. RESULTS Cluster analysis cleanly separated men with grade 4/5 cancers from those with BPH. Only 17 of the 86 candidate genes (20%) were known to be prostate cancer related and 42 (49%) were related to other cancers. The most up-regulated gene is Hepsin, a trypsin-like serine protease with its enzyme catalytic domain oriented extracellularly. Prostate specific membrane antigen is the second most up-regulated gene (all other reports on prostate specific membrane antigen have been at the protein level). The genes for prostate specific antigen (hK3) and human glandular kallikrein2 (hK2) showed equivalent expression levels 10 times the average of other genes. Complete lists of all 22 up-regulated genes and 64 down-regulated genes, together with their locus on the chromosome, are presented in rank order. CONCLUSIONS We characterize for the first time 64 down-regulated and 22 up-regulated genes in Gleason grade 4/5 cancer, using the gene profile from BPH as control tissue. A number of interesting new genes, previously undescribed in prostate cancer, are presented as possibilities for further study.


Fertility and Sterility | 2003

DISTINCTIVE PROLIFERATIVE PHASE DIFFERENCES IN GENE EXPRESSION IN HUMAN MYOMETRIUM AND LEIOMYOMATA

Hongbo Wang; Mamatha Mahadevappa; Karen Yamamoto; Yan Wen; Bertha Chen; Janet A. Warrington; Mary Lake Polan

OBJECTIVE To gain a comprehensive view of the gene expression and regulation involved in uterine leiomyomata and matched normal myometrium using oligonucleotide microarray-based hybridization analysis. DESIGN Retrospective analyses of tissue obtained in a prospective randomized clinical study. SETTING Academic institution. PATIENT(S) Seven patients with leiomyomata scheduled for surgery during the proliferative phase. INTERVENTIONS(S) Seven paired samples of leiomyomata and adjacent myometrium were obtained from patients undergoing hysterectomy. MAIN OUTCOME MEASURE(S) The total RNA extracted from leiomyomata and myometrium was used for gene expression profiling of 6800 human genes using high-density oligonucleotide microarrays. In addition, reverse transcriptase-semiquantitative polymerase chain reaction and immunohistochemistry were used to validate tumor-specific gene expression. RESULT(S) A comparison of expression patterns in each paired sample revealed 68 genes significantly up- or down-regulated in each paired tissue sample, of which 23 genes showed increased expression and 45 showed decreased expression in leiomyomata compared with normal myometrium. Cluster analysis supported the relevance of these candidate genes for distinguishing between normal myometrium and leiomyomata biologic activity. CONCLUSION(S) Expression profiling of uterine leiomyomata using high-density oligonucleotide microarrays yields signature patterns that reflect the distinctive differences between normal human myometrium and leiomyomata during the proliferative phase. These observations suggest that a number of genes are involved in the tumorigenesis of leiomyomata.


Nature Genetics | 2001

Dissecting oral cancer through large-scale gene expression profiling of laser capture microdissection samples

Mamatha Mahadevappa; Ilias Alevizos; Hiroe Ohyama; Xue Zhang; Yokho Kohno; Marshall R. Posner; George T. Gallagher; Bruce Donoff; Randy Todd; David T. Wong; Janet A. Warrington

Dissecting oral cancer through large-scale gene expression profiling of laser capture microdissection samples


Physiological Genomics | 2000

Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes

Janet A. Warrington; Archana Nair; Mamatha Mahadevappa; Maya Tsyganskaya


Physiological Genomics | 2001

A compendium of gene expression in normal human tissues

Li-Li Hsiao; Fernando Dangond; Takumi Yoshida; Robert L. Hong; Roderick V. Jensen; Jatin Misra; William Dillon; Kailin F. Lee; Kathryn E. Clark; Peter M. Haverty; Zhiping Weng; George L. Mutter; Matthew P. Frosch; Marcy E. MacDonald; Edgar L. Milford; Christopher P. Crum; Raphael Bueno; Richard E. Pratt; Mamatha Mahadevappa; Janet A. Warrington; Gregory Stephanopoulos; George Stephanopoulos; Steven R. Gullans


Proceedings of the National Academy of Sciences of the United States of America | 1997

SARPs: A family of secreted apoptosis-related proteins

Hovsep S. Melkonyan; Wei C. Chang; John P. Shapiro; Mamatha Mahadevappa; Paul A. Fitzpatrick; Michael C. Kiefer; L. David Tomei; Samuil R. Umansky


Nature Biotechnology | 1999

A high-density probe array sample preparation method using 10- to 100-fold fewer cells.

Mamatha Mahadevappa; Janet A. Warrington


The Journal of Molecular Diagnostics | 2003

Accurate and Reproducible Gene Expression Profiles from Laser Capture Microdissection, Transcript Amplification, and High Density Oligonucleotide Microarray Analysis

Veronica Luzzi; Mamatha Mahadevappa; Rajiv Raja; Janet A. Warrington; Mark A. Watson

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David T. Wong

University of California

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