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Items: 1 to 20 of 23

1.

Resident Breast T Cells: The Troops Are Already There.

Schalck A, Bernatchez C, Navin N.

Trends Mol Med. 2018 Oct;24(10):821-822. doi: 10.1016/j.molmed.2018.07.006. Epub 2018 Aug 1.

2.

SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models.

Zafar H, Tzen A, Navin N, Chen K, Nakhleh L.

Genome Biol. 2017 Sep 19;18(1):178. doi: 10.1186/s13059-017-1311-2.

3.

Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.

Gao R, Kim C, Sei E, Foukakis T, Crosetto N, Chan LK, Srinivasan M, Zhang H, Meric-Bernstam F, Navin N.

Nat Commun. 2017 Aug 9;8(1):228. doi: 10.1038/s41467-017-00244-w.

4.

Tumor evolution: Linear, branching, neutral or punctuated?

Davis A, Gao R, Navin N.

Biochim Biophys Acta Rev Cancer. 2017 Apr;1867(2):151-161. doi: 10.1016/j.bbcan.2017.01.003. Epub 2017 Jan 19. Review.

5.

Analyzing tumor heterogeneity and driver genes in single myeloid leukemia cells with SBCapSeq.

Mann KM, Newberg JY, Black MA, Jones DJ, Amaya-Manzanares F, Guzman-Rojas L, Kodama T, Ward JM, Rust AG, van der Weyden L, Yew CC, Waters JL, Leung ML, Rogers K, Rogers SM, McNoe LA, Selvanesan L, Navin N, Jenkins NA, Copeland NG, Mann MB.

Nat Biotechnol. 2016 Sep;34(9):962-72. doi: 10.1038/nbt.3637. Epub 2016 Aug 1.

6.

Monovar: single-nucleotide variant detection in single cells.

Zafar H, Wang Y, Nakhleh L, Navin N, Chen K.

Nat Methods. 2016 Jun;13(6):505-7. doi: 10.1038/nmeth.3835. Epub 2016 Apr 18.

7.

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

Baslan T, Kendall J, Rodgers L, Cox H, Riggs M, Stepansky A, Troge J, Ravi K, Esposito D, Lakshmi B, Wigler M, Navin N, Hicks J.

Nat Protoc. 2016 Mar;11(3):616. doi: 10.1038/nprot0316.616b. Epub 2016 Feb 25. No abstract available.

PMID:
26914320
8.

Toward understanding and exploiting tumor heterogeneity.

Alizadeh AA, Aranda V, Bardelli A, Blanpain C, Bock C, Borowski C, Caldas C, Califano A, Doherty M, Elsner M, Esteller M, Fitzgerald R, Korbel JO, Lichter P, Mason CE, Navin N, Pe'er D, Polyak K, Roberts CW, Siu L, Snyder A, Stower H, Swanton C, Verhaak RG, Zenklusen JC, Zuber J, Zucman-Rossi J.

Nat Med. 2015 Aug;21(8):846-53. doi: 10.1038/nm.3915.

9.

Genome-wide copy number analysis of single cells.

Baslan T, Kendall J, Rodgers L, Cox H, Riggs M, Stepansky A, Troge J, Ravi K, Esposito D, Lakshmi B, Wigler M, Navin N, Hicks J.

Nat Protoc. 2012 May 3;7(6):1024-41. doi: 10.1038/nprot.2012.039. Erratum in: Nat Protoc. 2016 Mar;11(3):616.

10.

Insight into the heterogeneity of breast cancer through next-generation sequencing.

Russnes HG, Navin N, Hicks J, Borresen-Dale AL.

J Clin Invest. 2011 Oct;121(10):3810-8. doi: 10.1172/JCI57088. Epub 2011 Oct 3. Review.

11.

Identification of PHLPP1 as a tumor suppressor reveals the role of feedback activation in PTEN-mutant prostate cancer progression.

Chen M, Pratt CP, Zeeman ME, Schultz N, Taylor BS, O'Neill A, Castillo-Martin M, Nowak DG, Naguib A, Grace DM, Murn J, Navin N, Atwal GS, Sander C, Gerald WL, Cordon-Cardo C, Newton AC, Carver BS, Trotman LC.

Cancer Cell. 2011 Aug 16;20(2):173-86. doi: 10.1016/j.ccr.2011.07.013.

12.

Toward an integrated knowledge environment to support modern oncology.

Blake PM, Decker DA, Glennon TM, Liang YM, Losko S, Navin N, Suh KS.

Cancer J. 2011 Jul-Aug;17(4):257-63. doi: 10.1097/PPO.0b013e31822c390b. Review.

PMID:
21799334
13.

Future medical applications of single-cell sequencing in cancer.

Navin N, Hicks J.

Genome Med. 2011 May 31;3(5):31. doi: 10.1186/gm247.

14.

Tumour evolution inferred by single-cell sequencing.

Navin N, Kendall J, Troge J, Andrews P, Rodgers L, McIndoo J, Cook K, Stepansky A, Levy D, Esposito D, Muthuswamy L, Krasnitz A, McCombie WR, Hicks J, Wigler M.

Nature. 2011 Apr 7;472(7341):90-4. doi: 10.1038/nature09807. Epub 2011 Mar 13.

15.

Inferring tumor progression from genomic heterogeneity.

Navin N, Krasnitz A, Rodgers L, Cook K, Meth J, Kendall J, Riggs M, Eberling Y, Troge J, Grubor V, Levy D, Lundin P, Månér S, Zetterberg A, Hicks J, Wigler M.

Genome Res. 2010 Jan;20(1):68-80. doi: 10.1101/gr.099622.109. Epub 2009 Nov 10.

16.

Probing WW Domains to Uncover and Refine Determinants of Specificity in Ligand Recognition.

Espanel X, Navin N, Kato Y, Tanokura M, Sudol M.

Cytotechnology. 2003 Nov;43(1-3):105-11. doi: 10.1023/B: CYTO.0000039913.56708.06.

17.

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

Grubor V, Krasnitz A, Troge JE, Meth JL, Lakshmi B, Kendall JT, Yamrom B, Alex G, Pai D, Navin N, Hufnagel LA, Lee YH, Cook K, Allen SL, Rai KR, Damle RN, Calissano C, Chiorazzi N, Wigler M, Esposito D.

Blood. 2009 Feb 5;113(6):1294-303. doi: 10.1182/blood-2008-05-158865. Epub 2008 Oct 15.

18.

Computer vision syndrome: a study of the knowledge, attitudes and practices in Indian ophthalmologists.

Bali J, Navin N, Thakur BR.

Indian J Ophthalmol. 2007 Jul-Aug;55(4):289-94.

19.

Identification of alterations in DNA copy number in host stromal cells during tumor progression.

Pelham RJ, Rodgers L, Hall I, Lucito R, Nguyen KC, Navin N, Hicks J, Mu D, Powers S, Wigler M, Botstein D.

Proc Natl Acad Sci U S A. 2006 Dec 26;103(52):19848-53. Epub 2006 Dec 13.

20.

High-resolution ROMA CGH and FISH analysis of aneuploid and diploid breast tumors.

Hicks J, Muthuswamy L, Krasnitz A, Navin N, Riggs M, Grubor V, Esposito D, Alexander J, Troge J, Wigler M, Maner S, Lundin P, Zetterberg A.

Cold Spring Harb Symp Quant Biol. 2005;70:51-63.

PMID:
16869738

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