J
Jeffrey Sklar
Researcher at Yale University
Publications - 144
Citations - 19733
Jeffrey Sklar is an academic researcher from Yale University. The author has contributed to research in topics: Gene rearrangement & Gene. The author has an hindex of 64, co-authored 139 publications receiving 19144 citations. Previous affiliations of Jeffrey Sklar include Stanford University & Brigham and Women's Hospital.
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TAN-1, the human homolog of the Drosophila notch gene, is broken by chromosomal translocations in T lymphoblastic neoplasms.
Leif W. Ellisen,Jeffrey Bird,Daniel C. West,A. Lee Soreng,Thomas C. Reynolds,Stephen D. Smith,Jeffrey Sklar +6 more
TL;DR: It is shown that the locus on chromosome 9 contains a gene highly homologous to the Drosophila gene Notch, which may be important for normal lymphocyte function and that alteration of TAN-1 may play a role in the pathogenesis of some T cell neoplasms.
Journal ArticleDOI
Cloning and structural analysis of cDNAs for bcl-2 and a hybrid bcl-2/immunoglobulin transcript resulting from the t(14;18) translocation
TL;DR: The results suggest that t(14;18) translocations alter expression of the bcl-2 gene both by transcriptional activation and by abnormal posttranscriptional regulation of bCl-2 mRNA.
Journal ArticleDOI
Nucleotide sequence of a t(14;18) chromosomal breakpoint in follicular lymphoma and demonstration of a breakpoint-cluster region near a transcriptionally active locus on chromosome 18
Michael L. Cleary,Jeffrey Sklar +1 more
TL;DR: Structural similarities of the breakpoint with the functional diversity region-joining region (D-J) joint in this lymphoma suggest that D-J recombination enzymes played a role in the mechanism of the t(14;18) translocation.
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Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
TL;DR: In this article, a controlled experiment was conducted to investigate inherent variability in gene expression data and the extent to which replication in an experiment produces more consistent and reliable findings by introducing a statistical model to describe the probability that mRNA is contained in the target sample tissue, converted to probe, and ultimately detected on the slide.
Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA
TL;DR: It is concluded that designing experiments with replications will greatly reduce misclassification rates and it is recommended that at least three replicates be used in designing experiments by using cDNA microarrays, particularly when gene expression data from single specimens are being analyzed.