Literature DB >> 22539709

Cell Biology. Using cell-to-cell variability--a new era in molecular biology.

Lucas Pelkmans1.   

Abstract

Mesh：

Year:  2012        PMID： 22539709     DOI： 10.1126/science.1222161

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


× No keyword cloud information.
  65 in total

1.  A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens.

Authors:  Albert Gough; Tong Ying Shun; D Lansing Taylor; Mark Schurdak
Journal:  Methods       Date:  2015-11-04       Impact factor: 3.608

2.  Single-cell imaging tools for brain energy metabolism: a review.

Authors:  Alejandro San Martín; Tamara Sotelo-Hitschfeld; Rodrigo Lerchundi; Ignacio Fernández-Moncada; Sebastian Ceballo; Rocío Valdebenito; Felipe Baeza-Lehnert; Karin Alegría; Yasna Contreras-Baeza; Pamela Garrido-Gerter; Ignacio Romero-Gómez; L Felipe Barros
Journal:  Neurophotonics       Date:  2014-05-29       Impact factor: 3.593

3.  Single cell heterogeneity: why unstable genomes are incompatible with average profiles.

Authors:  Batoul Y Abdallah; Steven D Horne; Joshua B Stevens; Guo Liu; Andrew Y Ying; Barbara Vanderhyden; Stephen A Krawetz; Root Gorelick; Henry Hq Heng
Journal:  Cell Cycle       Date:  2013-10-01       Impact factor: 4.534

Review 4.  Single-cell and multivariate approaches in genetic perturbation screens.

Authors:  Prisca Liberali; Berend Snijder; Lucas Pelkmans
Journal:  Nat Rev Genet       Date:  2014-12-02       Impact factor: 53.242

Review 5.  Nanoscale monitoring of drug actions on cell membrane using atomic force microscopy.

Authors:  Mi Li; Lian-qing Liu; Ning Xi; Yue-chao Wang
Journal:  Acta Pharmacol Sin       Date:  2015-06-01       Impact factor: 6.150

6.  Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images.

Authors:  Louis-François Handfield; Bob Strome; Yolanda T Chong; Alan M Moses
Journal:  Bioinformatics       Date:  2014-11-14       Impact factor: 6.937

7.  Identification of cell types from single-cell transcriptomes using a novel clustering method.

Authors:  Chen Xu; Zhengchang Su
Journal:  Bioinformatics       Date:  2015-02-11       Impact factor: 6.937

8.  Hidden complexity in the isomerization dynamics of Holliday junctions.

Authors:  Changbong Hyeon; Jinwoo Lee; Jeseong Yoon; Sungchul Hohng; D Thirumalai
Journal:  Nat Chem       Date:  2012-10-07       Impact factor: 24.427

9.  Cell-to-cell variability analysis dissects the plasticity of signaling of common γ chain cytokines in T cells.

Authors:  Jesse W Cotari; Guillaume Voisinne; Orly Even Dar; Volkan Karabacak; Grégoire Altan-Bonnet
Journal:  Sci Signal       Date:  2013-03-12       Impact factor: 8.192

10.  Single-Cell Virology: On-Chip Investigation of Viral Infection Dynamics.

Authors:  Feng Guo; Sixing Li; Mehmet Umut Caglar; Zhangming Mao; Wu Liu; Andrew Woodman; Jamie J Arnold; Claus O Wilke; Tony Jun Huang; Craig E Cameron
Journal:  Cell Rep       Date:  2017-11-07       Impact factor: 9.423
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.