Literature DB >> 33763633

Single-Cell Phenotypic Analysis and Digital Molecular Detection Linkable by a Hydrogel Bead-Based Platform.

Yanzhe Zhu1, Jing Li1, Xingyu Lin1, Xiao Huang1, Michael R Hoffmann1.   

Abstract

Cell heterogeneity, such as antibiotic heteroresistance and cancer cell heterogeneity, has been increasingly observed. To probe the underlying molecular mechanisms in the dynamically changing heterogeneous cells, a high throughput platform is urgently needed to establish single cell genotype-phenotype correlations. Herein, we report a platform combining single-cell viability phenotypic analysis with digital molecular detection for bacterial cells. The platform utilizes polyethylene glycol hydrogel that cross-links through a thiol-Michael addition, which is biocompatible, fast, and spontaneous. To generate uniform nanoliter-sized hydrogel beads (Gelbeads), we developed a convenient and disposable device made of needles and microcentrifuge tubes. Gelbead-based single cell viability and molecular detection assays were established. Enhanced thermal stability and uncompromised efficiency were achieved for digital polymerase chain reaction (PCR) and digital loop-mediated isothermal amplification (LAMP) within the Gelbeads. Reagent exchange for in situ PCR following viability phenotypic analyses was demonstrated. The combined analyses may address the genotypic differences between cellular subpopulations exhibiting distinct phenotypes. The platform promises unique perspectives in mechanism elucidation of environment-evolution interaction that may be extended to other cell types for medical research.
© 2021 The Authors. Published by American Chemical Society.

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Year:  2021        PMID: 33763633      PMCID: PMC7976597          DOI: 10.1021/acsabm.0c01615

Source DB:  PubMed          Journal:  ACS Appl Bio Mater        ISSN: 2576-6422


  48 in total

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4.  Effect of cross-linking on the diffusion of water, ions, and small molecules in hydrogels.

Authors:  Yanbin Wu; Sony Joseph; N R Aluru
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Authors:  Eric Brouzes; Martina Medkova; Neal Savenelli; Dave Marran; Mariusz Twardowski; J Brian Hutchison; Jonathan M Rothberg; Darren R Link; Norbert Perrimon; Michael L Samuels
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-15       Impact factor: 11.205

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  1 in total

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Journal:  Biotechnol J       Date:  2022-02-10       Impact factor: 5.726

  1 in total

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