Your browser doesn't support javascript.
loading
Single-molecule analysis reveals widespread structural variation in multiple myeloma.
Gupta, Aditya; Place, Michael; Goldstein, Steven; Sarkar, Deepayan; Zhou, Shiguo; Potamousis, Konstantinos; Kim, Jaehyup; Flanagan, Claire; Li, Yang; Newton, Michael A; Callander, Natalie S; Hematti, Peiman; Bresnick, Emery H; Ma, Jian; Asimakopoulos, Fotis; Schwartz, David C.
Afiliación
  • Gupta A; Biophysics Graduate Program, University of Wisconsin-Madison, Madison, WI 53706; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer C
  • Place M; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer Center, Madison, WI 53705;
  • Goldstein S; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer Center, Madison, WI 53705;
  • Sarkar D; Indian Statistical Institute, New Delhi 110016, India;
  • Zhou S; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer Center, Madison, WI 53705;
  • Potamousis K; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer Center, Madison, WI 53705;
  • Kim J; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705;
  • Flanagan C; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705;
  • Li Y; Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801;
  • Newton MA; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706;
  • Callander NS; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705;
  • Hematti P; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705;
  • Bresnick EH; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Cell and Regenerative Biology, University of Wisconsin-Madison Blood Research Program, Madison, WI 53705.
  • Ma J; Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801;
  • Asimakopoulos F; University of Wisconsin Carbone Cancer Center, Madison, WI 53705; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705;
  • Schwartz DC; Biophysics Graduate Program, University of Wisconsin-Madison, Madison, WI 53706; Laboratory for Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin-Madison, Madison, WI 53706; University of Wisconsin Carbone Cancer C
Proc Natl Acad Sci U S A ; 112(25): 7689-94, 2015 Jun 23.
Article en En | MEDLINE | ID: mdl-26056298
Multiple myeloma (MM), a malignancy of plasma cells, is characterized by widespread genomic heterogeneity and, consequently, differences in disease progression and drug response. Although recent large-scale sequencing studies have greatly improved our understanding of MM genomes, our knowledge about genomic structural variation in MM is attenuated due to the limitations of commonly used sequencing approaches. In this study, we present the application of optical mapping, a single-molecule, whole-genome analysis system, to discover new structural variants in a primary MM genome. Through our analysis, we have identified and characterized widespread structural variation in this tumor genome. Additionally, we describe our efforts toward comprehensive characterization of genome structure and variation by integrating our findings from optical mapping with those from DNA sequencing-based genomic analysis. Finally, by studying this MM genome at two time points during tumor progression, we have demonstrated an increase in mutational burden with tumor progression at all length scales of variation.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variaciones en el Número de Copia de ADN / Mieloma Múltiple Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variaciones en el Número de Copia de ADN / Mieloma Múltiple Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2015 Tipo del documento: Article