Frazer Lab - UCSD
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BAP1 mutation is a frequent somatic event in peritoneal malignant mesothelioma PDF available through Get Fulltext Research

Alakus, Hakan Yost, Shawn E Woo, Brian French, Randall Lin, Grace Y Jepsen, Kristen Frazer, Kelly A Lowy, Andrew M Harismendy, Olivier

Published in Journal of Translational Medicine

BackgroundMalignant mesothelioma (MM) arises from mesothelial cells that line the pleural, peritoneal and pericardial surfaces. The majority of MMs are pleural and have been associated with asbestos exposure. Previously, pleural MMs have been genetically characterized by the loss of BAP1 (40-60%) as well as loss of NF2 (75%) and CDKN2A (60%). The r...

Transcriptome sequencing reveals potential mechanism of cryptic 3' splice site selection in SF3B1-mutated cancers. PDF available through Get Fulltext Research

DeBoever, Christopher Ghia, Emanuela M Shepard, Peter J Rassenti, Laura Barrett, Christian L Jepsen, Kristen Jamieson, Catriona H M Carson, Dennis Kipps, Thomas J Frazer, Kelly A ...

Published in PLoS computational biology

Mutations in the splicing factor SF3B1 are found in several cancer types and have been associated with various splicing defects. Using transcriptome sequencing data from chronic lymphocytic leukemia, breast cancer and uveal melanoma tumor samples, we show that hundreds of cryptic 3' splice sites (3'SSs) are used in cancers with SF3B1 mutations. We ...

An RNA editing fingerprint of cancer stem cell reprogramming PDF available through Get Fulltext Research

Crews, Leslie A Jiang, Qingfei Zipeto, Maria A Lazzari, Elisa Court, Angela C Ali, Shawn Barrett, Christian L Frazer, Kelly A Jamieson, Catriona HM

Published in Journal of Translational Medicine

BackgroundDeregulation of RNA editing by adenosine deaminases acting on dsRNA (ADARs) has been implicated in the progression of diverse human cancers including hematopoietic malignancies such as chronic myeloid leukemia (CML). Inflammation-associated activation of ADAR1 occurs in leukemia stem cells specifically in the advanced, often drug-resistan...

Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression.

Cheng, Chun-Pei Kuo, I-Ying Alakus, Hakan Frazer, Kelly A Harismendy, Olivier Wang, Yi-Ching Tseng, Vincent S

Published in Bioinformatics (Oxford, England)

A rapid progression of esophageal squamous cell carcinoma (ESCC) causes a high mortality rate because of the propensity for metastasis driven by genetic and epigenetic alterations. The identification of prognostic biomarkers would help prevent or control metastatic progression. Expression analyses have been used to find such markers, but do not alw...

Biased estimates of clonal evolution and subclonal heterogeneity can arise from PCR duplicates in deep sequencing experi... PDF available through Get Fulltext Research

Smith, Erin N Jepsen, Kristen Khosroheidari, Mahdieh Rassenti, Laura Z D’Antonio, Matteo Ghia, Emanuela M Carson, Dennis A Jamieson, Catriona HM Kipps, Thomas J Frazer, Kelly A ...

Published in Genome Biology

Accurate allele frequencies are important for measuring subclonal heterogeneity and clonal evolution. Deep-targeted sequencing data can contain PCR duplicates, inflating perceived read depth. Here we adapted the Illumina TruSeq Custom Amplicon kit to include single molecule tagging (SMT) and show that SMT-identified duplicates arise from PCR. We de...

miR-150 influences B-cell receptor signaling in chronic lymphocytic leukemia by regulating expression of GAB1 and FOXP1.... PDF available through Get Fulltext Research

Mraz, Marek Chen, Liguang Rassenti, Laura Z Ghia, Emanuela M Li, Hongying Jepsen, Kristen Smith, Erin N Messer, Karen Frazer, Kelly A Kipps, Thomas J ...

Published in Blood

We examined the microRNAs (miRNAs) expressed in chronic lymphocytic leukemia (CLL) and identified miR-150 as the most abundant, but with leukemia cell expression levels that varied among patients. CLL cells that expressed ζ-chain-associated protein of 70 kDa (ZAP-70) or that used unmutated immunoglobulin heavy chain variable (IGHV) genes, each had ...

Homozygous GNAS 393C-Allele Carriers with Locally Advanced Esophageal Cancer Fail to Benefit from Platinum-Based Preoper...

Alakus, Hakan Bollschweiler, Elfriede Hölscher, Arnulf H. Warnecke-Eberz, Ute Frazer, Kelly A. Harismendy, Olivier Lowy, Andrew M. Mönig, Stefan P. Eberz, Pascal M. Maus, Martin ...

Published in Annals of Surgical Oncology

BackgroundCurrently, patients with locally advanced esophageal cancer receive neoadjuvant chemoradiotherapy but only about half of these patients benefit from this treatment. GNAS T393C has been shown to predict the postoperative course in solid tumors and may therefore be useful for treatment stratification. The aim of the present study was to det...

MiningABs: mining associated biomarkers across multi-connected gene expression datasets PDF available through Get Fulltext Research

Cheng, Chun-Pei DeBoever, Christopher Frazer, Kelly A Liu, Yu-Cheng Tseng, Vincent S

Published in BMC Bioinformatics

BackgroundHuman disease often arises as a consequence of alterations in a set of associated genes rather than alterations to a set of unassociated individual genes. Most previous microarray-based meta-analyses identified disease-associated genes or biomarkers independent of genetic interactions. Therefore, in this study, we present the first meta-a...

Genome-wide mutational landscape of mucinous carcinomatosis peritonei of appendiceal origin PDF available through Get Fulltext Research

Alakus, Hakan Babicky, Michele L Ghosh, Pradipta Yost, Shawn Jepsen, Kristen Dai, Yang Arias, Angelo Samuels, Michael L Mose, Evangeline S Schwab, Richard B ...

Published in Genome Medicine

BackgroundMucinous neoplasms of the appendix (MNA) are rare tumors which may progress from benign to malignant disease with an aggressive biological behavior. MNA is often diagnosed after metastasis to the peritoneal surfaces resulting in mucinous carcinomatosis peritonei (MCP). Genetic alterations in MNA are poorly characterized due to its low inc...

Effective filtering strategies to improve data quality from population-based whole exome sequencing studies PDF available through Get Fulltext Research

Carson, Andrew R Smith, Erin N Matsui, Hiroko Brækkan, Sigrid K Jepsen, Kristen Hansen, John-Bjarne Frazer, Kelly A

Published in BMC Bioinformatics

BackgroundGenotypes generated in next generation sequencing studies contain errors which can significantly impact the power to detect signals in common and rare variant association tests. These genotyping errors are not explicitly filtered by the standard GATK Variant Quality Score Recalibration (VQSR) tool and thus remain a source of errors in who...

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