Literature DB >> 20359302

Quantifying the relative amount of mouse and human DNA in cancer xenografts using species-specific variation in gene length.

Ming-Tseh Lin1, Li-Hui Tseng, Hirohiko Kamiyama, Mihoko Kamiyama, Phillip Lim, Manuel Hidalgo, Sarah Wheelan, James Eshleman.   

Abstract

Human cancer cell lines and xenografts are valuable samples for whole-genome sequencing of human cancer. Tumors can be maintained by serial xenografting in athymic (nude) or severe combined immunodeficient (SCID) mice. In the current study, we developed a molecular assay to quantify the relative contributions of human and mouse in mixed DNA samples. The assay was designed based on deletion/insertion variation between human and mouse genomes. The percentage of mouse DNA was calculated according to the relative peak heights of PCR products analyzed by capillary electrophoresis. Three markers from chromosomes 9 and 10 accurately predicted the mouse genome ratio and were combined into a multiplex PCR reaction. We used the assay to quantify the relative DNA amounts of 93 mouse xenografts used for a recently reported integrated genomic analysis of human pancreatic cancer. Of the 93 xenografts, the mean percentage of contaminating mouse DNA was 47%, ranging from 17% to 73%, with 43% of samples having >50% mouse DNA. We then comprehensively compared the human and mouse genomes to identify 370 additional candidate gene loci demonstrating human-mouse length variation. With increasing whole-genome sequencing of human cancers, this assay should be useful to monitor strategies to enrich human cancer cells from mixed human-mouse cell xenografts. Finally, we discuss how contaminating mouse DNA affects next-generation DNA sequencing.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20359302      PMCID: PMC3065779          DOI: 10.2144/000113363

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  21 in total

1.  A rapid and quantitative DNA sex test: fluorescence-based PCR analysis of X-Y homologous gene amelogenin.

Authors:  K M Sullivan; A Mannucci; C P Kimpton; P Gill
Journal:  Biotechniques       Date:  1993-10       Impact factor: 1.993

2.  A human X-Y homologous region encodes "amelogenin".

Authors:  Y Nakahori; O Takenaka; Y Nakagome
Journal:  Genomics       Date:  1991-02       Impact factor: 5.736

3.  Comparison of short tandem repeat and variable number tandem repeat genetic markers for quantitative determination of allogeneic bone marrow transplant engraftment.

Authors:  S A Schichman; P Suess; A M Vertino; P S Gray
Journal:  Bone Marrow Transplant       Date:  2002-02       Impact factor: 5.483

4.  Quantitative determination of bone marrow transplant engraftment using fluorescent polymerase chain reaction primers for human identity markers.

Authors:  S J Scharf; A G Smith; J A Hansen; C McFarland; H A Erlich
Journal:  Blood       Date:  1995-04-01       Impact factor: 22.113

5.  High-resolution analysis of DNA copy number alterations in colorectal cancer by array-based comparative genomic hybridization.

Authors:  Kentaro Nakao; Kshama R Mehta; Jane Fridlyand; Dan H Moore; Ajay N Jain; Amalia Lafuente; John W Wiencke; Jonathan P Terdiman; Frederic M Waldman
Journal:  Carcinogenesis       Date:  2004-03-04       Impact factor: 4.944

Review 6.  Chromosomal imbalances in human lung cancer.

Authors:  Binaifer R Balsara; Joseph R Testa
Journal:  Oncogene       Date:  2002-10-07       Impact factor: 9.867

7.  Transplantation of human tumors in nude mice.

Authors:  Y Shimosato; T Kameya; K Nagai; S Hirohashi; T Koide; H Hayashi; T Nomura
Journal:  J Natl Cancer Inst       Date:  1976-06       Impact factor: 13.506

8.  Patterns of chromosomal imbalances defines subgroups of breast cancer with distinct clinical features and prognosis. A study of 305 tumors by comparative genomic hybridization.

Authors:  Karin Rennstam; Minna Ahlstedt-Soini; Bo Baldetorp; Pär-Ola Bendahl; Ake Borg; Ritva Karhu; Minna Tanner; Mika Tirkkonen; Jorma Isola
Journal:  Cancer Res       Date:  2003-12-15       Impact factor: 12.701

9.  A tumor sorting protocol that enables enrichment of pancreatic adenocarcinoma cells and facilitation of genetic analyses.

Authors:  Zachary S Boyd; Rajiv Raja; Stephanie Johnson; David A Eberhard; Mark R Lackner
Journal:  J Mol Diagn       Date:  2009-05-21       Impact factor: 5.568

10.  Comprehensive genomic characterization defines human glioblastoma genes and core pathways.

Authors: 
Journal:  Nature       Date:  2008-09-04       Impact factor: 49.962

View more
  15 in total

Review 1.  New cast for a new era: preclinical cancer drug development revisited.

Authors:  Grit S Herter-Sprie; Andrew L Kung; Kwok-Kin Wong
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

Review 2.  Third-generation sequencing techniques and applications to drug discovery.

Authors:  Fatih Ozsolak
Journal:  Expert Opin Drug Discov       Date:  2012-02-02       Impact factor: 6.098

Review 3.  The role of replicates for error mitigation in next-generation sequencing.

Authors:  Kimberly Robasky; Nathan E Lewis; George M Church
Journal:  Nat Rev Genet       Date:  2013-12-10       Impact factor: 53.242

4.  A Novel Tandem Duplication Assay to Detect Minimal Residual Disease in FLT3/ITD AML.

Authors:  Ming-Tseh Lin; Li-Hui Tseng; Jonathan C Dudley; Stacey Riel; Harrison Tsai; Gang Zheng; Keith W Pratz; Mark J Levis; Christopher D Gocke
Journal:  Mol Diagn Ther       Date:  2015-12       Impact factor: 4.074

5.  Chromatin conformation capture (Hi-C) sequencing of patient-derived xenografts: analysis guidelines.

Authors:  Mikhail G Dozmorov; Katarzyna M Tyc; Nathan C Sheffield; David C Boyd; Amy L Olex; Jason Reed; J Chuck Harrell
Journal:  Gigascience       Date:  2021-04-21       Impact factor: 6.524

6.  Real-time PCR-based assay to quantify the relative amount of human and mouse tissue present in tumor xenografts.

Authors:  Sergio Y Alcoser; David J Kimmel; Suzanne D Borgel; John P Carter; Kelly M Dougherty; Melinda G Hollingshead
Journal:  BMC Biotechnol       Date:  2011-12-16       Impact factor: 2.563

7.  Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes.

Authors:  Priscilla F McAuliffe; Kurt W Evans; Argun Akcakanat; Ken Chen; Xiaofeng Zheng; Hao Zhao; Agda Karina Eterovic; Takafumi Sangai; Ashley M Holder; Chandeshwar Sharma; Huiqin Chen; Kim-Anh Do; Emily Tarco; Mihai Gagea; Katherine A Naff; Aysegul Sahin; Asha S Multani; Dalliah M Black; Elizabeth A Mittendorf; Isabelle Bedrosian; Gordon B Mills; Ana Maria Gonzalez-Angulo; Funda Meric-Bernstam
Journal:  PLoS One       Date:  2015-09-01       Impact factor: 3.240

8.  Are special read alignment strategies necessary and cost-effective when handling sequencing reads from patient-derived tumor xenografts?

Authors:  Kai-Yuen Tso; Sau Dan Lee; Kwok-Wai Lo; Kevin Y Yip
Journal:  BMC Genomics       Date:  2014-12-23       Impact factor: 3.969

9.  Human stromal cells are required for an anti-breast cancer effect of zoledronic acid.

Authors:  Hilde H Nienhuis; Marlous Arjaans; Hetty Timmer-Bosscha; Elisabeth G E de Vries; Carolina P Schröder
Journal:  Oncotarget       Date:  2015-09-15

10.  Origin of the vasculature supporting growth of primary patient tumor xenografts.

Authors:  Bonnie L Hylander; Natalie Punt; Haikuo Tang; Joanna Hillman; Mary Vaughan; Wiam Bshara; Rose Pitoniak; Elizabeth A Repasky
Journal:  J Transl Med       Date:  2013-05-03       Impact factor: 5.531

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.