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Dive into the research topics where B. Lakshmi is active.

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Featured researches published by B. Lakshmi.


Science | 2008

Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia

Tom Walsh; Jon McClellan; Shane McCarthy; Anjene Addington; Sarah B. Pierce; Greg M. Cooper; Alex S. Nord; Mary Kusenda; Dheeraj Malhotra; Abhishek Bhandari; Sunday M. Stray; Caitlin Rippey; Patricia Roccanova; Vlad Makarov; B. Lakshmi; Robert L. Findling; Linmarie Sikich; Thomas Stromberg; Barry Merriman; Nitin Gogtay; Philip Butler; Kristen Eckstrand; Laila Noory; Peter Gochman; Robert Long; Zugen Chen; Sean Davis; Carl Baker; Evan E. Eichler; Paul S. Meltzer

Schizophrenia is a devastating neurodevelopmental disorder whose genetic influences remain elusive. We hypothesize that individually rare structural variants contribute to the illness. Microdeletions and microduplications >100 kilobases were identified by microarray comparative genomic hybridization of genomic DNA from 150 individuals with schizophrenia and 268 ancestry-matched controls. All variants were validated by high-resolution platforms. Novel deletions and duplications of genes were present in 5% of controls versus 15% of cases and 20% of young-onset cases, both highly significant differences. The association was independently replicated in patients with childhood-onset schizophrenia as compared with their parents. Mutations in cases disrupted genes disproportionately from signaling networks controlling neurodevelopment, including neuregulin and glutamate pathways. These results suggest that multiple, individually rare mutations altering genes in neurodevelopmental pathways contribute to schizophrenia.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Oncogenic cooperation and coamplification of developmental transcription factor genes in lung cancer

Jude Kendall; Qing Liu; Amy Bakleh; Alexander Krasnitz; Ken C. Q. Nguyen; B. Lakshmi; William L. Gerald; Scott Powers; David Mu

We used high-resolution array analysis to discover a recurrent lung cancer amplicon located at 14q13.3. Low-level gain of this region was detected in 15% of lung cancer samples, and high-level amplification was detected in an additional 4% of samples. High-level focal amplification appears to be specific to lung cancers, because it was not detected in >500 samples of other tumor types. Mapping of the commonly amplified region revealed there are three genes in the core region, all of which encode transcription factors with either established lung developmental function (TTF1/NKX2-1, NKX2-8) or potential lung developmental function (PAX9). All three genes were overexpressed to varying degrees in amplified samples, although TTF1/NKX2-1 was not expressed in the squamous cancer subtype, consistent with previous reports. Remarkably, overexpression of any pairwise combination of these genes showed pronounced synergy in promoting the proliferation of immortalized human lung epithelial cells. Analysis of human lung cancer cell lines by both RNAi and ectopic overexpression further substantiates an oncogenic role for these transcription factors. These results, taken together with previous reports of oncogenic alterations of transcription factors involved in lung development (p63, CEBPA), suggest genetic alterations that directly interfere with transcriptional networks normally regulating lung development may be a more common feature of lung cancer than previously realized.


Blood | 2009

Novel genomic alterations and clonal evolution in chronic lymphocytic leukemia revealed by representational oligonucleotide microarray analysis (ROMA)

Vladimir Grubor; Alexander Krasnitz; Jennifer Troge; Jennifer L. Meth; B. Lakshmi; Jude Kendall; Boris Yamrom; Garrick Alex; Deepa Pai; Nicholas Navin; Lisa A. Hufnagel; Yoon Lee; Kerry Cook; Steven L. Allen; Kanti R. Rai; Rajendra N. Damle; Carlo Calissano; Nicholas Chiorazzi; Michael Wigler; Diane Esposito

We examined copy number changes in the genomes of B cells from 58 patients with chronic lymphocytic leukemia (CLL) by using representational oligonucleotide microarray analysis (ROMA), a form of comparative genomic hybridization (CGH), at a resolution exceeding previously published studies. We observed at least 1 genomic lesion in each CLL sample and considerable variation in the number of abnormalities from case to case. Virtually all abnormalities previously reported also were observed here, most of which were indeed highly recurrent. We observed the boundaries of known events with greater clarity and identified previously undescribed lesions, some of which were recurrent. We profiled the genomes of CLL cells separated by the surface marker CD38 and found evidence of distinct subclones of CLL within the same patient. We discuss the potential applications of high-resolution CGH analysis in a clinical setting.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Brk is coamplified with ErbB2 to promote proliferation in breast cancer

Bin Xiang; Kiranam Chatti; Haoqun Qiu; B. Lakshmi; Alexander Krasnitz; James Hicks; Min Yu; W. Todd Miller; Senthil K. Muthuswamy

Amplification of the receptor tyrosine kinase ErbB2 is frequently observed in breast cancer. Amplification of erbB2 is also associated with multiple genomic gains and losses; however, the importance of these associated changes is largely unknown. We demonstrate that Brk, a cytoplasmic tyrosine kinase, is coamplified and coexpressed with ErbB2 in human breast cancers. ErbB2 interacts with Brk and increases its intrinsic kinase activity. Expression of Brk enhances the ErbB2-induced activation of Ras/MAPK signaling and cyclin E/cdk2 activity to induce cell proliferation of mammary 3-dimensional acini in culture. In a murine model of breast cancer, expression of Brk was found to shorten the latency of ErbB2-induced tumors by promoting cell proliferation, with no effect on protection from apoptosis. Furthermore, overexpression of Brk conferred resistance to the ability of Lapatinib, an ErbB2 kinase inhibitor, to inhibit ErbB2-induced proliferation. Thus, we identified Brk as a drug target for ErbB2-positive cancers.


Cancer Biology & Therapy | 2007

Copy-number variants in patients with a strong family history of pancreatic cancer.

Robert Lucito; Shubha Suresh; Kimberly Walter; Akhilesh Pandey; B. Lakshmi; Alexander Krasnitz; Jonathan Sebat; Michael Wigler; Alison P. Klein; Kieran Brune; Emily Palmisano; Anirban Maitra; Michael Goggins; Ralph H. Hruban

Copy-number variants such as germ-line deletions and amplifications are associated with inherited genetic disorders including familial cancer. The gene or genes responsible for the majority of familial clustering of pancreatic cancer have not been identified. We used representational oligonucleotide microarray analysis (ROMA) to characterize germ-line copy number variants in 60 cancer patients from 57 familial pancreatic cancer kindreds. Fifty-seven of the 60 patients had pancreatic cancer and three had non-pancreatic cancers (breast, ovary, ovary). A familial pancreatic cancer kindred was defined as a kindred in which at least two first-degree relatives have been diagnosed with pancreatic cancer. Copy-number variants identified in 607 individuals without pancreatic cancer were excluded from further analysis. A total of 56 unique genomic regions with copy-number variants not present in controls were identified, including 31 amplifications and 25 deletions. Two deleted regions were observed in two different patients, and one in three patients. The germ-line amplifications had a mean size of 662Kb, a median size of 379Kb (range 8.2Kb to 2.5Mb) and included 425 known genes. Examples of genes included in the germ-line amplifications include the MAFK, JunD and BIRC6 genes. The germ-line deletions had a mean size of 375Kb, a median size 151Kb (range 0.4Kb to 2.3Mb) and included 81 known genes. In multivariate analysis controlling for region size, deletions were 90% less likely to involve a gene than were duplications (p


Nature Protocols | 2016

Corrigendum: Genome-wide copy number analysis of single cells.

Timour Baslan; Jude Kendall; Linda Rodgers; Hilary Cox; M. Riggs; Asya Stepansky; Jennifer Troge; Kandasamy Ravi; Diane Esposito; B. Lakshmi; Michael Wigler; Nicholas Navin; James Hicks

Nat. Protoc. 7, 1024–1041 (2012); published online 3 May 2012; corrected after print 24 February 2016 In the version of this article initially published, the units for the concentration of NaCl in the NST buffer described in the Reagent Setup section were incorrect. The correct unit should be mM. The error has been corrected in the HTML and PDF versions of the article.


international conference on pattern recognition | 2008

Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parameters

Lalit Gupta; Sunil Kumar; Randeep Singh; Rafi Shaik; Nevenka Dimitrova; Aparna Gorthi; B. Lakshmi; Deepa Pai; Sitharthan Kamalakaran; Xiaoyue Zhao; Michael Wigler

Probe design is the most important step for any microarray based assay. Accurate and efficient probe design and selection for the target sequence is critical in generating reliable and useful results. Several different approaches for probe design are reported in literature and an increasing number of bioinformatics tools are available for the same. However, based on the reported low accuracy, determining the hybridization efficiency of the probes is still a big computational challenge. Present study deals with the extraction of various novel features related to sequence composition, thermodynamics and secondary structure that may be essential for designing good probes. A feature selection method has been used to assess the relative importance of all these features. In this paper, we validate the importance of various features currently used for designing an oligonucleotide probe. Finally, a classification methodology is presented that can be used to predict the hybridization quality of a probe.


Science | 2004

Large-Scale Copy Number Polymorphism in the Human Genome

Jonathan Sebat; B. Lakshmi; Jennifer Troge; Joan Alexander; Janet M. Young; Pär Lundin; Susanne Månér; Hillary Massa; Megan Walker; Maoyen Chi; Nicholas Navin; Robert Lucito; John Healy; James Hicks; Kenny Ye; Andrew Reiner; T. Conrad Gilliam; Barbara J. Trask; Nick Patterson; Anders Zetterberg; Michael Wigler


Science | 2007

Strong Association of De Novo Copy Number Mutations with Autism

Jonathan Sebat; B. Lakshmi; Dheeraj Malhotra; Jennifer Troge; Christa Lese-Martin; Tom Walsh; Boris Yamrom; Seungtai Yoon; Alexander Krasnitz; Jude Kendall; Anthony Leotta; Deepa Pai; Ray Zhang; Yoon Lee; James Hicks; Sarah J. Spence; Annette Lee; Kaija Puura; Terho Lehtimäki; David H. Ledbetter; Peter K. Gregersen; Joel Bregman; James S. Sutcliffe; Vaidehi Jobanputra; Wendy K. Chung; Dorothy Warburton; Mary Claire King; David Skuse; Daniel H. Geschwind; T. Conrad Gilliam


Neuron | 2011

Rare de novo and transmitted copy-number variation in autistic spectrum disorders.

Dan Levy; Michael Ronemus; Boris Yamrom; Yoon Lee; Anthony Leotta; Jude Kendall; Steven Marks; B. Lakshmi; Deepa Pai; Kenny Ye; Andreas Buja; Abba M. Krieger; Seungtai Yoon; Jennifer Troge; Linda Rodgers; Ivan Iossifov; Michael Wigler

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Michael Wigler

Cold Spring Harbor Laboratory

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Alexander Krasnitz

Cold Spring Harbor Laboratory

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Jennifer Troge

Cold Spring Harbor Laboratory

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Jude Kendall

Cold Spring Harbor Laboratory

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James Hicks

University of Southern California

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Kenny Ye

Albert Einstein College of Medicine

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Anthony Leotta

Cold Spring Harbor Laboratory

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Boris Yamrom

Cold Spring Harbor Laboratory

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Deepa Pai

Cold Spring Harbor Laboratory

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Diane Esposito

Cold Spring Harbor Laboratory

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