Literature DB >> 34233007

Single-cell nucleic acid profiling in droplets (SNAPD) enables high-throughput analysis of heterogeneous cell populations.

Leland B Hyman1,2, Clare R Christopher2, Philip A Romero2,3,4.   

Abstract

Experimental methods that capture the individual properties of single cells are revealing the key role of cell-to-cell variability in countless biological processes. These single-cell methods are becoming increasingly important across the life sciences in fields such as immunology, regenerative medicine and cancer biology. In addition to high-dimensional transcriptomic techniques such as single-cell RNA sequencing, there is a need for fast, simple and high-throughput assays to enumerate cell samples based on RNA biomarkers. In this work, we present single-cell nucleic acid profiling in droplets (SNAPD) to analyze sets of transcriptional markers in tens of thousands of single mammalian cells. Individual cells are encapsulated in aqueous droplets on a microfluidic chip and the RNA markers in each cell are amplified. Molecular logic circuits then integrate these amplicons to categorize cells based on the transcriptional markers and produce a detectable fluorescence output. SNAPD is capable of analyzing over 100,000 cells per hour and can be used to quantify distinct cell types within heterogeneous populations, detect rare cells at frequencies down to 0.1% and enrich specific cell types using microfluidic sorting. SNAPD provides a simple, rapid, low cost and scalable approach to study complex phenotypes in heterogeneous cell populations.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 34233007      PMCID: PMC8501953          DOI: 10.1093/nar/gkab577

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


  59 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.

Authors:  Guoji Guo; Mikael Huss; Guo Qing Tong; Chaoyang Wang; Li Li Sun; Neil D Clarke; Paul Robson
Journal:  Dev Cell       Date:  2010-04-20       Impact factor: 12.270

3.  Towards a knowledge-based Human Protein Atlas.

Authors:  Mathias Uhlen; Per Oksvold; Linn Fagerberg; Emma Lundberg; Kalle Jonasson; Mattias Forsberg; Martin Zwahlen; Caroline Kampf; Kenneth Wester; Sophia Hober; Henrik Wernerus; Lisa Björling; Fredrik Ponten
Journal:  Nat Biotechnol       Date:  2010-12       Impact factor: 54.908

Review 4.  Single-cell RNA sequencing: Technical advancements and biological applications.

Authors:  Eva Hedlund; Qiaolin Deng
Journal:  Mol Aspects Med       Date:  2017-08-01

5.  Fast and compact DNA logic circuits based on single-stranded gates using strand-displacing polymerase.

Authors:  Tianqi Song; Abeer Eshra; Shalin Shah; Hieu Bui; Daniel Fu; Ming Yang; Reem Mokhtar; John Reif
Journal:  Nat Nanotechnol       Date:  2019-09-23       Impact factor: 39.213

6.  A centrifugal microfluidic emulsifier integrated with oil storage structures for robust digital LAMP.

Authors:  Huo Peng; Minjie Zhu; Zehang Gao; Chengyue Liao; Chunping Jia; Hua Wang; Hongbo Zhou; Jianlong Zhao
Journal:  Biomed Microdevices       Date:  2020-02-15       Impact factor: 2.838

7.  On the biophysics and kinetics of toehold-mediated DNA strand displacement.

Authors:  Niranjan Srinivas; Thomas E Ouldridge; Petr Sulc; Joseph M Schaeffer; Bernard Yurke; Ard A Louis; Jonathan P K Doye; Erik Winfree
Journal:  Nucleic Acids Res       Date:  2013-09-09       Impact factor: 16.971

Review 8.  Breast Cancer Tumor Stroma: Cellular Components, Phenotypic Heterogeneity, Intercellular Communication, Prognostic Implications and Therapeutic Opportunities.

Authors:  Noemi Eiro; Luis O Gonzalez; María Fraile; Sandra Cid; Jose Schneider; Francisco J Vizoso
Journal:  Cancers (Basel)       Date:  2019-05-13       Impact factor: 6.639

9.  Simultaneous Detection of Different Zika Virus Lineages via Molecular Computation in a Point-of-Care Assay.

Authors:  Sanchita Bhadra; Miguel A Saldaña; Hannah Grace Han; Grant L Hughes; Andrew D Ellington
Journal:  Viruses       Date:  2018-12-14       Impact factor: 5.048

10.  A novel multiplex isothermal amplification method for rapid detection and identification of viruses.

Authors:  Dougbeh-Chris Nyan; Kevin L Swinson
Journal:  Sci Rep       Date:  2015-12-08       Impact factor: 4.379

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