Literature DB >> 27530426

Selective single cell isolation for genomics using microraft arrays.

Joshua D Welch1, Lindsay A Williams2, Matthew DiSalvo3, Alicia T Brandt4, Raoud Marayati5, Christopher E Sims6, Nancy L Allbritton7, Jan F Prins1, Jen Jen Yeh8, Corbin D Jones9.   

Abstract

Genomic methods are used increasingly to interrogate the individual cells that compose specific tissues. However, current methods for single cell isolation struggle to phenotypically differentiate specific cells in a heterogeneous population and rely primarily on the use of fluorescent markers. Many cellular phenotypes of interest are too complex to be measured by this approach, making it difficult to connect genotype and phenotype at the level of individual cells. Here we demonstrate that microraft arrays, which are arrays containing thousands of individual cell culture sites, can be used to select single cells based on a variety of phenotypes, such as cell surface markers, cell proliferation and drug response. We then show that a common genomic procedure, RNA-seq, can be readily adapted to the single cells isolated from these rafts. We show that data generated using microrafts and our modified RNA-seq protocol compared favorably with the Fluidigm C1. We then used microraft arrays to select pancreatic cancer cells that proliferate in spite of cytotoxic drug treatment. Our single cell RNA-seq data identified several expected and novel gene expression changes associated with early drug resistance.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2016        PMID: 27530426      PMCID: PMC5041489          DOI: 10.1093/nar/gkw700

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  35 in total

1.  Synthetic spike-in standards for RNA-seq experiments.

Authors:  Lichun Jiang; Felix Schlesinger; Carrie A Davis; Yu Zhang; Renhua Li; Marc Salit; Thomas R Gingeras; Brian Oliver
Journal:  Genome Res       Date:  2011-08-04       Impact factor: 9.043

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

3.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

4.  Prognostic significance of the immediate early response gene X-1 (IEX-1) expression in pancreatic cancer.

Authors:  Tetsuro Sasada; Koichi Azuma; Tatsuya Hirai; Hiroki Hashida; Michiyuki Kanai; Takashi Yanagawa; Arimichi Takabayashi
Journal:  Ann Surg Oncol       Date:  2007-11-17       Impact factor: 5.344

5.  Array-Based Platform To Select, Release, and Capture Epstein-Barr Virus-Infected Cells Based on Intercellular Adhesion.

Authors:  Peter J Attayek; Sally A Hunsucker; Yuli Wang; Christopher E Sims; Paul M Armistead; Nancy L Allbritton
Journal:  Anal Chem       Date:  2015-11-23       Impact factor: 6.986

6.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

7.  Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.

Authors:  Sébastien A Smallwood; Heather J Lee; Christof Angermueller; Felix Krueger; Heba Saadeh; Julian Peat; Simon R Andrews; Oliver Stegle; Wolf Reik; Gavin Kelsey
Journal:  Nat Methods       Date:  2014-07-20       Impact factor: 28.547

8.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

9.  Overexpressed galectin-3 in pancreatic cancer induces cell proliferation and invasion by binding Ras and activating Ras signaling.

Authors:  Shumei Song; Baoan Ji; Vijaya Ramachandran; Huamin Wang; Margarete Hafley; Craig Logsdon; Robert S Bresalier
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

10.  A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages.

Authors:  Robert J Kimmerling; Gregory Lee Szeto; Jennifer W Li; Alex S Genshaft; Samuel W Kazer; Kristofor R Payer; Jacob de Riba Borrajo; Paul C Blainey; Darrell J Irvine; Alex K Shalek; Scott R Manalis
Journal:  Nat Commun       Date:  2016-01-06       Impact factor: 14.919

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  11 in total

1.  Characterization of Tensioned PDMS Membranes for Imaging Cytometry on Microraft Arrays.

Authors:  Matthew DiSalvo; Daniel M Harris; Saurin Kantesaria; Alexis N Peña; Jules D Allbritton-King; Jacqueline H Cole; Nancy L Allbritton
Journal:  Anal Chem       Date:  2018-03-13       Impact factor: 6.986

2.  Injection Molded Microfluidics for Establishing High-Density Single Cell Arrays in an Open Hydrogel Format.

Authors:  Ying Li; Jeffrey D Motschman; Sean T Kelly; Benjamin B Yellen
Journal:  Anal Chem       Date:  2020-01-14       Impact factor: 6.986

3.  Automated platform for cell selection and separation based on four-dimensional motility and matrix degradation.

Authors:  Hannah L Nowotarski; Peter J Attayek; Nancy L Allbritton
Journal:  Analyst       Date:  2020-02-21       Impact factor: 4.616

Review 4.  Single cell biology beyond the era of antibodies: relevance, challenges, and promises in biomedical research.

Authors:  Parvin Abraham; Tessy Thomas Maliekal
Journal:  Cell Mol Life Sci       Date:  2016-10-06       Impact factor: 9.261

5.  Photodegradable Hydrogels for Rapid Screening, Isolation, and Genetic Characterization of Bacteria with Rare Phenotypes.

Authors:  Niloufar Fattahi; Priscila A Nieves-Otero; Mohammadali Masigol; André J van der Vlies; Reilly S Jensen; Ryan R Hansen; Thomas G Platt
Journal:  Biomacromolecules       Date:  2020-07-06       Impact factor: 6.988

Review 6.  A technology of a different sort: microraft arrays.

Authors:  Belén Cortés-Llanos; Yuli Wang; Christopher E Sims; Nancy L Allbritton
Journal:  Lab Chip       Date:  2021-08-04       Impact factor: 7.517

7.  Intron retention enhances gene regulatory complexity in vertebrates.

Authors:  Ulf Schmitz; Natalia Pinello; Fangzhi Jia; Sultan Alasmari; William Ritchie; Maria-Cristina Keightley; Shaniko Shini; Graham J Lieschke; Justin J-L Wong; John E J Rasko
Journal:  Genome Biol       Date:  2017-11-16       Impact factor: 13.583

8.  Automated sensing and splitting of stem cell colonies on microraft arrays.

Authors:  Matthew DiSalvo; Nicole M Smiddy; Nancy L Allbritton
Journal:  APL Bioeng       Date:  2019-08-29

9.  Facile Method for Fabricating Microfluidic Chip Integrated with Microwell Arrays for Cell Trapping.

Authors:  Hongyue Wu; Zhixing Ge; Wenguang Yang; Xiaoduo Wang; Xiaodong Wang; Haibo Yu
Journal:  Micromachines (Basel)       Date:  2019-10-25       Impact factor: 2.891

10.  Highly efficient cellular cloning using Ferro-core Micropallet Arrays.

Authors:  Trisha M Westerhof; Wesley A Cox-Muranami; Guann-Pyng Li; Mark Bachman; Hung Fan; Edward L Nelson
Journal:  Sci Rep       Date:  2017-10-12       Impact factor: 4.379

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