Literature DB >> 21551055

Immunology. Flow cytometry, amped up.

Christophe Benoist1, Nir Hacohen.   

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Year:  2011        PMID: 21551055     DOI: 10.1126/science.1206351

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


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  12 in total

Review 1.  Understanding health and disease with multidimensional single-cell methods.

Authors:  Julián Candia; Jayanth R Banavar; Wolfgang Losert
Journal:  J Phys Condens Matter       Date:  2014-01-22       Impact factor: 2.333

Review 2.  Enhancing translational research in paediatric rheumatology through standardization.

Authors:  Rae S M Yeung; Salvatore Albani; Brian M Feldman; Elizabeth Mellins; Berent Prakken; Lucy R Wedderburn
Journal:  Nat Rev Rheumatol       Date:  2016-09-22       Impact factor: 20.543

3.  Cancer cell profiling by barcoding allows multiplexed protein analysis in fine-needle aspirates.

Authors:  Adeeti V Ullal; Vanessa Peterson; Sarit S Agasti; Suan Tuang; Dejan Juric; Cesar M Castro; Ralph Weissleder
Journal:  Sci Transl Med       Date:  2014-01-15       Impact factor: 17.956

4.  viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Authors:  El-ad David Amir; Kara L Davis; Michelle D Tadmor; Erin F Simonds; Jacob H Levine; Sean C Bendall; Daniel K Shenfeld; Smita Krishnaswamy; Garry P Nolan; Dana Pe'er
Journal:  Nat Biotechnol       Date:  2013-05-19       Impact factor: 54.908

Review 5.  Genomic analysis at the single-cell level.

Authors:  Tomer Kalisky; Paul Blainey; Stephen R Quake
Journal:  Annu Rev Genet       Date:  2011-09-19       Impact factor: 16.830

6.  Gating mass cytometry data by deep learning.

Authors:  Huamin Li; Uri Shaham; Kelly P Stanton; Yi Yao; Ruth R Montgomery; Yuval Kluger
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

7.  Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction.

Authors:  Alex S Genshaft; Shuqiang Li; Caroline J Gallant; Spyros Darmanis; Sanjay M Prakadan; Carly G K Ziegler; Martin Lundberg; Simon Fredriksson; Joyce Hong; Aviv Regev; Kenneth J Livak; Ulf Landegren; Alex K Shalek
Journal:  Genome Biol       Date:  2016-09-19       Impact factor: 13.583

8.  From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells.

Authors:  Julián Candia; Ryan Maunu; Meghan Driscoll; Angélique Biancotto; Pradeep Dagur; J Philip McCoy; H Nida Sen; Lai Wei; Amos Maritan; Kan Cao; Robert B Nussenblatt; Jayanth R Banavar; Wolfgang Losert
Journal:  PLoS Comput Biol       Date:  2013-09-05       Impact factor: 4.475

9.  OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.

Authors:  Greg Finak; Jacob Frelinger; Wenxin Jiang; Evan W Newell; John Ramey; Mark M Davis; Spyros A Kalams; Stephen C De Rosa; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

10.  Antisense knockdown of pyruvate dehydrogenase kinase promotes the neutral lipid accumulation in the diatom Phaeodactylum tricornutum.

Authors:  Yu-Han Ma; Xiang Wang; Ying-Fang Niu; Zhi-Kai Yang; Meng-Han Zhang; Zhong-Ming Wang; Wei-Dong Yang; Jie-Sheng Liu; Hong-Ye Li
Journal:  Microb Cell Fact       Date:  2014-08-09       Impact factor: 5.328

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