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Items: 1 to 20 of 77

1.

Studying hematopoiesis using single-cell technologies.

Ye F, Huang W, Guo G.

J Hematol Oncol. 2017 Jan 21;10(1):27. doi: 10.1186/s13045-017-0401-7. Review.

2.

Impaired coordination between signaling pathways is revealed in human colorectal cancer using single-cell mass cytometry of archival tissue blocks.

Simmons AJ, Scurrah CR, McKinley ET, Herring CA, Irish JM, Washington MK, Coffey RJ, Lau KS.

Sci Signal. 2016 Oct 11;9(449):rs11.

3.

High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy.

Ferrell PB Jr, Diggins KE, Polikowsky HG, Mohan SR, Seegmiller AC, Irish JM.

PLoS One. 2016 Apr 13;11(4):e0153207. doi: 10.1371/journal.pone.0153207. eCollection 2016.

4.

Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.

Leelatian N, Diggins KE, Irish JM.

Methods Mol Biol. 2015;1346:99-113. doi: 10.1007/978-1-4939-2987-0_8.

5.

Quantitative Profiling of Lysine Acetylation Reveals Dynamic Crosstalk between Receptor Tyrosine Kinases and Lysine Acetylation.

Bryson BD, White FM.

PLoS One. 2015 May 15;10(5):e0126242. doi: 10.1371/journal.pone.0126242. eCollection 2015.

6.

Highly multiplexed profiling of single-cell effector functions reveals deep functional heterogeneity in response to pathogenic ligands.

Lu Y, Xue Q, Eisele MR, Sulistijo ES, Brower K, Han L, Amir el-AD, Pe'er D, Miller-Jensen K, Fan R.

Proc Natl Acad Sci U S A. 2015 Feb 17;112(7):E607-15. doi: 10.1073/pnas.1416756112. Epub 2015 Feb 2.

7.

A microfluidic device enabling high-efficiency single cell trapping.

Jin D, Deng B, Li JX, Cai W, Tu L, Chen J, Wu Q, Wang WH.

Biomicrofluidics. 2015 Jan 7;9(1):014101. doi: 10.1063/1.4905428. eCollection 2015 Jan.

9.
10.

Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data.

Pyne S, Lee SX, Wang K, Irish J, Tamayo P, Nazaire MD, Duong T, Ng SK, Hafler D, Levy R, Nolan GP, Mesirov J, McLachlan GJ.

PLoS One. 2014 Jul 1;9(7):e100334. doi: 10.1371/journal.pone.0100334. eCollection 2014.

11.

High-dimensional single-cell cancer biology.

Irish JM, Doxie DB.

Curr Top Microbiol Immunol. 2014;377:1-21. doi: 10.1007/82_2014_367. Review.

12.

Chip based single cell analysis for nanotoxicity assessment.

Shah P, Kaushik A, Zhu X, Zhang C, Li CZ.

Analyst. 2014 May 7;139(9):2088-98. doi: 10.1039/c3an02280c. Review.

13.

Validation of flow cytometric phospho-STAT5 as a diagnostic tool for juvenile myelomonocytic leukemia.

Hasegawa D, Bugarin C, Giordan M, Bresolin S, Longoni D, Micalizzi C, Ramenghi U, Bertaina A, Basso G, Locatelli F, Biondi A, Te Kronnie G, Gaipa G.

Blood Cancer J. 2013 Nov 15;3:e160. doi: 10.1038/bcj.2013.56.

14.

Dissecting virus-plant interactions through proteomics approaches.

Xu K, Nagy PD.

Curr Proteomics. 2010 Dec 1;7(4):316-327.

15.

Single-cell mass cytometry for analysis of immune system functional states.

Bjornson ZB, Nolan GP, Fantl WJ.

Curr Opin Immunol. 2013 Aug;25(4):484-94. doi: 10.1016/j.coi.2013.07.004. Epub 2013 Aug 31. Review.

16.

Therapeutic PD-1 pathway blockade augments with other modalities of immunotherapy T-cell function to prevent immune decline in ovarian cancer.

Duraiswamy J, Freeman GJ, Coukos G.

Cancer Res. 2013 Dec 1;73(23):6900-12. doi: 10.1158/0008-5472.CAN-13-1550. Epub 2013 Aug 23.

17.

Proteomic analysis of energy metabolism and signal transduction in irradiated melanoma cells.

Yan LB, Shi K, Bing ZT, Sun YL, Shen Y.

Int J Ophthalmol. 2013 Jun 18;6(3):286-94. doi: 10.3980/j.issn.2222-3959.2013.03.06. Print 2013.

18.

Models of signalling networks - what cell biologists can gain from them and give to them.

Janes KA, Lauffenburger DA.

J Cell Sci. 2013 May 1;126(Pt 9):1913-21. doi: 10.1242/jcs.112045. Review.

19.

Development and validation of a single-cell network profiling assay-based classifier to predict response to induction therapy in paediatric patients with de novo acute myeloid leukaemia: a report from the Children's Oncology Group.

Lacayo NJ, Alonzo TA, Gayko U, Rosen DB, Westfall M, Purvis N, Putta S, Louie B, Hackett J, Cohen AC, Cesano A, Gerbing R, Ravindranath Y, Dahl GV, Gamis A, Meshinchi S.

Br J Haematol. 2013 Jul;162(2):250-62. doi: 10.1111/bjh.12370. Epub 2013 May 20.

20.

Microfluidic genome-wide profiling of intrinsic electrical properties in Saccharomyces cerevisiae.

Vahey MD, Quiros Pesudo L, Svensson JP, Samson LD, Voldman J.

Lab Chip. 2013 Jul 21;13(14):2754-63. doi: 10.1039/c3lc50162k.

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