Literature DB >> 21892139

What's wrong with correlative experiments?

Marco Vilela1, Gaudenz Danuser.   

Abstract

Here, we make a case for multivariate measurements in cell biology with minimal perturbation. We discuss how correlative data can identify cause-effect relationships in cellular pathways with potentially greater accuracy than conventional perturbation studies.

Mesh：

Year:  2011        PMID： 21892139     DOI： 10.1038/ncb2325

Source DB:  PubMed          Journal:  Nat Cell Biol        ISSN： 1465-7392            Impact factor:   28.824


  14 in total

Review 1.  How cells process information: quantification of spatiotemporal signaling dynamics.

Authors:  Ambhighainath Ganesan; Jin Zhang
Journal:  Protein Sci       Date:  2012-06-05       Impact factor: 6.725

Review 2.  Models of signalling networks - what cell biologists can gain from them and give to them.

Authors:  Kevin A Janes; Douglas A Lauffenburger
Journal:  J Cell Sci       Date:  2013-05-01       Impact factor: 5.285

Review 3.  Using fluctuation analysis to establish causal relations between cellular events without experimental perturbation.

Authors:  Erik S Welf; Gaudenz Danuser
Journal:  Biophys J       Date:  2014-12-02       Impact factor: 4.033

4.  TNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors.

Authors:  Zeinab Chitforoushzadeh; Zi Ye; Ziran Sheng; Silvia LaRue; Rebecca C Fry; Douglas A Lauffenburger; Kevin A Janes
Journal:  Sci Signal       Date:  2016-06-07       Impact factor: 8.192

Review 5.  An engineering design approach to systems biology.

Authors:  Kevin A Janes; Preethi L Chandran; Roseanne M Ford; Matthew J Lazzara; Jason A Papin; Shayn M Peirce; Jeffrey J Saucerman; Douglas A Lauffenburger
Journal:  Integr Biol (Camb)       Date:  2017-07-17       Impact factor: 2.192

6.  Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation.

Authors:  Jungsik Noh; Tadamoto Isogai; Joseph Chi; Kushal Bhatt; Gaudenz Danuser
Journal:  Cell Syst       Date:  2022-06-07       Impact factor: 11.091

7.  Fluctuation analysis of activity biosensor images for the study of information flow in signaling pathways.

Authors:  Marco Vilela; Nadia Halidi; Sebastien Besson; Hunter Elliott; Klaus Hahn; Jessica Tytell; Gaudenz Danuser
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

8.  Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes.

Authors:  Jia-Ren Lin; Benjamin Izar; Shu Wang; Clarence Yapp; Shaolin Mei; Parin M Shah; Sandro Santagata; Peter K Sorger
Journal:  Elife       Date:  2018-07-11       Impact factor: 8.140

9.  Integrative analysis of T cell motility from multi-channel microscopy data using TIAM.

Authors:  Viveka Mayya; Willie Neiswanger; Ricardo Medina; Chris H Wiggins; Michael L Dustin
Journal:  J Immunol Methods       Date:  2014-11-13       Impact factor: 2.303

10.  Disentangling Membrane Dynamics and Cell Migration; Differential Influences of F-actin and Cell-Matrix Adhesions.

Authors:  Jacob M Kowalewski; Hamdah Shafqat-Abbasi; Mehrdad Jafari-Mamaghani; Bereket Endrias Ganebo; Xiaowei Gong; Staffan Strömblad; John G Lock
Journal:  PLoS One       Date:  2015-08-06       Impact factor: 3.240
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