Literature DB >> 23130660

Quantitating cell-cell interaction functions with applications to glioblastoma multiforme cancer cells.

Jun Wang1, Douglas Tham, Wei Wei, Young Shik Shin, Chao Ma, Habib Ahmad, Qihui Shi, Jenkan Yu, Raphael D Levine, James R Heath.   

Abstract

We report on a method for quantitating the distance dependence of cell-cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell-cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23130660      PMCID: PMC3680341          DOI: 10.1021/nl302748q

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  20 in total

1.  Single-cell proteomic chip for profiling intracellular signaling pathways in single tumor cells.

Authors:  Qihui Shi; Lidong Qin; Wei Wei; Feng Geng; Rong Fan; Young Shik Shin; Deliang Guo; Leroy Hood; Paul S Mischel; James R Heath
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

2.  Counting low-copy number proteins in a single cell.

Authors:  Bo Huang; Hongkai Wu; Devaki Bhaya; Arthur Grossman; Sebastien Granier; Brian K Kobilka; Richard N Zare
Journal:  Science       Date:  2007-01-05       Impact factor: 47.728

3.  DNA-encoded antibody libraries: a unified platform for multiplexed cell sorting and detection of genes and proteins.

Authors:  Ryan C Bailey; Gabriel A Kwong; Caius G Radu; Owen N Witte; James R Heath
Journal:  J Am Chem Soc       Date:  2007-01-30       Impact factor: 15.419

4.  Micromechanical control of cell-cell interactions.

Authors:  Elliot E Hui; Sangeeta N Bhatia
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-27       Impact factor: 11.205

Review 5.  Heterogeneity maintenance in glioblastoma: a social network.

Authors:  Rudy Bonavia; Maria-del-Mar Inda; Webster K Cavenee; Frank B Furnari
Journal:  Cancer Res       Date:  2011-05-31       Impact factor: 12.701

6.  High-density, multiplexed patterning of cells at single-cell resolution for tissue engineering and other applications.

Authors:  Udi Vermesh; Ophir Vermesh; Jun Wang; Gabriel A Kwong; Chao Ma; Kiwook Hwang; James R Heath
Journal:  Angew Chem Int Ed Engl       Date:  2011-06-29       Impact factor: 15.336

7.  Chemistries for patterning robust DNA microbarcodes enable multiplex assays of cytoplasm proteins from single cancer cells.

Authors:  Young Shik Shin; Habib Ahmad; Qihui Shi; Hyungjun Kim; Tod A Pascal; Rong Fan; William A Goddard; James R Heath
Journal:  Chemphyschem       Date:  2010-10-04       Impact factor: 3.102

8.  Glioma-astrocyte interaction modifies the astrocyte phenotype in a co-culture experimental model.

Authors:  Nicoletta Gagliano; Francesco Costa; Chiara Cossetti; Letizia Pettinari; Rosaria Bassi; Maurizio Chiriva-Internati; Everardo Cobos; Magda Gioia; Stefano Pluchino
Journal:  Oncol Rep       Date:  2009-12       Impact factor: 3.906

9.  Quantitative analysis of EGFRvIII cellular signaling networks reveals a combinatorial therapeutic strategy for glioblastoma.

Authors:  Paul H Huang; Akitake Mukasa; Rudy Bonavia; Ryan A Flynn; Zachary E Brewer; Webster K Cavenee; Frank B Furnari; Forest M White
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-23       Impact factor: 11.205

10.  The quantitative proteome of a human cell line.

Authors:  Martin Beck; Alexander Schmidt; Johan Malmstroem; Manfred Claassen; Alessandro Ori; Anna Szymborska; Franz Herzog; Oliver Rinner; Jan Ellenberg; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

View more
  29 in total

1.  Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray.

Authors:  Lisa S Ramirez; Jun Wang
Journal:  J Vis Exp       Date:  2016-01-06       Impact factor: 1.355

2.  Ultrasimple Single-Cell Detection of Multiple Cytokines by a Nanowell Chip Integrated with Encoded Microarrays.

Authors:  Mohammed A A Abdullah; Jun Wang
Journal:  ACS Sens       Date:  2019-09-06       Impact factor: 7.711

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

Authors:  Yao Lu; Qiong Xue; Markus R Eisele; Endah S Sulistijo; Kara Brower; Lin Han; El-Ad David Amir; Dana Pe'er; Kathryn Miller-Jensen; Rong Fan
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

4.  Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING).

Authors:  Amine Merouane; Nicolas Rey-Villamizar; Yanbin Lu; Ivan Liadi; Gabrielle Romain; Jennifer Lu; Harjeet Singh; Laurence J N Cooper; Navin Varadarajan; Badrinath Roysam
Journal:  Bioinformatics       Date:  2015-06-09       Impact factor: 6.937

5.  Microfluidics in Malignant Glioma Research and Precision Medicine.

Authors:  Meghan Logun; Wujun Zhao; Leidong Mao; Lohitash Karumbaiah
Journal:  Adv Biosyst       Date:  2018-04-02

Review 6.  Single-cell technologies for monitoring immune systems.

Authors:  Pratip K Chattopadhyay; Todd M Gierahn; Mario Roederer; J Christopher Love
Journal:  Nat Immunol       Date:  2014-02       Impact factor: 25.606

Review 7.  Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.

Authors:  Liwei Yang; Justin George; Jun Wang
Journal:  Proteomics       Date:  2019-12-02       Impact factor: 3.984

Review 8.  Microchip-based single-cell functional proteomics for biomedical applications.

Authors:  Yao Lu; Liu Yang; Wei Wei; Qihui Shi
Journal:  Lab Chip       Date:  2017-03-29       Impact factor: 6.799

9.  A microchip platform for interrogating tumor-macrophage paracrine signaling at the single-cell level.

Authors:  Meltem Elitas; Kara Brower; Yao Lu; Jonathan J Chen; Rong Fan
Journal:  Lab Chip       Date:  2014-07-24       Impact factor: 6.799

10.  Intercellular signaling through secreted proteins induces free-energy gradient-directed cell movement.

Authors:  Nataly Kravchenko-Balasha; Young Shik Shin; Alex Sutherland; R D Levine; James R Heath
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-02       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.