Microfluidics-free single-cell genomics with templated emulsification.
Microfluidics-free single-cell genomics with templated emulsification.
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DOI:
10.1038/s41587-023-01685-z
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发表时间:
2023-11
影响因子:
46.9
通讯作者:
Abate, Adam R.
中科院分区:
文献类型:
--
作者:
Clark, Iain C.;Fontanez, Kristina M.;Meltzer, Robert H.;Xue, Yi;Hayford, Corey;May-Zhang, Aaron;D'Amato, Chris;Osman, Ahmad;Zhang, Jesse Q.;Hettige, Pabodha;Ishibashi, Jacob S. A.;Delley, Cyrille L.;Weisgerber, Daniel W.;Replogle, Joseph M.;Jost, Marco;Phong, Kiet T.;Kennedy, Vanessa E.;Peretz, Cheryl A. C.;Kim, Esther A.;Song, Siyou;Karlon, William;Weissman, Jonathan S.;Smith, Catherine C.;Gartner, Zev J.;Abate, Adam R.
Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling steps required for sample processing. We develop a method that does not require specialized microfluidic devices, expertise or hardware. Our approach is based on particle-templated emulsification, which allows single-cell encapsulation and barcoding of cDNA in uniform droplet emulsions with only a vortexer. Particle-templated instant partition sequencing (PIP-seq) accommodates a wide range of emulsification formats, including microwell plates and large-volume conical tubes, enabling thousands of samples or millions of cells to be processed in minutes. We demonstrate that PIP-seq produces high-purity transcriptomes in mouse–human mixing studies, is compatible with multiomics measurements and can accurately characterize cell types in human breast tissue compared to a commercial microfluidic platform. Single-cell transcriptional profiling of mixed phenotype acute leukemia using PIP-seq reveals the emergence of heterogeneity within chemotherapy-resistant cell subsets that were hidden by standard immunophenotyping. PIP-seq is a simple, flexible and scalable next-generation workflow that extends single-cell sequencing to new applications. A microfluidics-free, scalable single-cell RNA-sequencing method produces high-quality transcriptomes.
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影响因子:
4.6
作者:
Delley CL;Abate AR
通讯作者:
Abate AR
影响因子:
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通讯作者:
De Keersmaecker K
影响因子:
64.8
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Shendure, Jay
影响因子:
6.1
作者:
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通讯作者:
Abate AR
影响因子:
7.4
作者:
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通讯作者:
Easley, Christopher J.