Literature DB >> 30179236

A single-cell translocation and secretion assay (TransSeA).

Wei Cai1, Yu-Jui Chiu, Valya Ramakrishnan, Yihuan Tsai, Clark Chen, Yu-Hwa Lo.   

Abstract

Understanding biological heterogeneity at the single cell level is required for advancing insights into the complexity of human physiology and diseases. While advances in technological and analytical methods have afforded unprecedented glimpses of this heterogeneity, the information captured to date largely represents one-time "snap" shots of single cell physiology. To address the limits of existing methods and to accelerate discoveries from single cell studies, we developed a single-cell translocation and secretion assay (TransSeA) that supports time lapse analysis, enables molecular cargo analysis of secretions such as extracellular vesicles (EVs) from single cells, allows massively parallel single cell transfer according to user-defined cell selection criteria, and supports tracking of phenotypes between parental and progeny cells derived from single cells. To demonstrate the unique capabilities and efficiencies of the assay, we present unprecedented single cell studies related to cell secretions, EV cargos and cell intrinsic properties. Although used as examples to demonstrate the feasibility and versatility of the technology, the studies already provided insights into key unanswered questions such as the microRNAs carried by EVs, the relationships between EV secretion rates and gene expressions, and the spontaneous, trans-generational phenotypic changes in EV secretion between parental and progeny cells.

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Year:  2018        PMID: 30179236      PMCID: PMC6177299          DOI: 10.1039/c8lc00821c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  43 in total

1.  Single-cell transcriptional analysis of neuronal progenitors.

Authors:  Ian Tietjen; Jason M Rihel; Yanxiang Cao; Georgy Koentges; Lisa Zakhary; Catherine Dulac
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

Review 2.  Stochasticity in gene expression: from theories to phenotypes.

Authors:  Mads Kaern; Timothy C Elston; William J Blake; James J Collins
Journal:  Nat Rev Genet       Date:  2005-06       Impact factor: 53.242

3.  Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor.

Authors:  Hyungsoon Im; Huilin Shao; Yong Il Park; Vanessa M Peterson; Cesar M Castro; Ralph Weissleder; Hakho Lee
Journal:  Nat Biotechnol       Date:  2014-04-20       Impact factor: 54.908

Review 4.  Intra-tumour heterogeneity: a looking glass for cancer?

Authors:  Andriy Marusyk; Vanessa Almendro; Kornelia Polyak
Journal:  Nat Rev Cancer       Date:  2012-04-19       Impact factor: 60.716

Review 5.  Functional roles for noise in genetic circuits.

Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

6.  Identifying single-cell molecular programs by stochastic profiling.

Authors:  Kevin A Janes; Chun-Chao Wang; Karin J Holmberg; Kristin Cabral; Joan S Brugge
Journal:  Nat Methods       Date:  2010-03-14       Impact factor: 28.547

7.  Single-cell dissection of transcriptional heterogeneity in human colon tumors.

Authors:  Piero Dalerba; Tomer Kalisky; Debashis Sahoo; Pradeep S Rajendran; Michael E Rothenberg; Anne A Leyrat; Sopheak Sim; Jennifer Okamoto; Darius M Johnston; Dalong Qian; Maider Zabala; Janet Bueno; Norma F Neff; Jianbin Wang; Andrew A Shelton; Brendan Visser; Shigeo Hisamori; Yohei Shimono; Marc van de Wetering; Hans Clevers; Michael F Clarke; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2011-11-13       Impact factor: 54.908

8.  Multiplexed Profiling of Single Extracellular Vesicles.

Authors:  Kyungheon Lee; Kyle Fraser; Bassel Ghaddar; Katy Yang; Eunha Kim; Leonora Balaj; E Antonio Chiocca; Xandra O Breakefield; Hakho Lee; Ralph Weissleder
Journal:  ACS Nano       Date:  2018-01-04       Impact factor: 18.027

Review 9.  Tumour heterogeneity and cancer cell plasticity.

Authors:  Corbin E Meacham; Sean J Morrison
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

10.  Hand-held and integrated single-cell pipettes.

Authors:  Kai Zhang; Xin Han; Ying Li; Sharon Yalan Li; Youli Zu; Zhiqiang Wang; Lidong Qin
Journal:  J Am Chem Soc       Date:  2014-07-24       Impact factor: 15.419

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