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Microfluidics-free single-cell genomics with templated emulsification

Speaker: Iain Clark

Online live: Feb 06, 2024 12:00 PM EST Posted: Apr 2, 2024 Views: 7846

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Abstract

Current single-cell RNA-sequencing (scRNA-seq) methods utilize complex microfluidics or laborious multi-step fluid handling steps. To overcome these limitations, we developed a method called PIP-seq, which does not require specialized microfluidic devices, expertise, or hardware. Our approach uses particle-templated emulsification to generate water-in-oil droplets with a standard laboratory vortexer. This allows for the encapsulation of single cells with barcoded beads in less than two minutes. In previous work, we demonstrated that PIP-seq produces high-purity transcriptomes, is compatible with multi-omics measurements, and accurately reproduces scRNA-seq results from a commercial platform (10X Genomics). In this presentation, I will discuss the development of PIP-seq, its unique ability to accommodate a wide range of cell (10-106) and sample (1-103) numbers, and the new applications that this unlocks.


Highlights

• Developed a method to encapsulate single cells with barcode beads for scRNA-seq

• Uses a laboratory vortexer and no microfluidics

• Highly scalable (millions), fast (minutes), and user-friendly

• Commercialized by Fluent Biosciences (https://www.fluentbio.com/)

Speaker

Iain Clark

Iain Clark, Ph.D.

Assistant Professor, Bioengineering, UC Berkeley

Iain C. Clark is an Assistant Professor in the Bioengineering Department at the University of California, Berkeley, and a ...

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References

1.

Clark IC, Fontanez KM, Meltzer RH, Xue Y, Hayford C, May-Zhang A, D'Amato C, Osman A, Zhang JQ, Hettige P, Ishibashi JSA, Delley CL, Weisgerber DW, Replogle JM, Jost M, Phong KT, Kennedy VE, Peretz CAC, Kim EA, Song S, Karlon W, Weissman JS, Smith CC, Gartner ZJ, Abate AR. Microfluidics-free single-cell genomics with templated emulsification. Nat Biotechnol. 2023. Epub 20230306. doi: 10.1038/s41587-023-01685-z. PubMed PMID: 36879006.

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26 Q&A

Single nucleus: comparison of damages to nuclei across the technologies

We work on time courses of plant responses with a short time interval (~1 hour), so we use single nucleus instead of single cell. Damages to nuclei during a nuclear prep result in loss of the data from the damaged nuclear populations. Apparently nuclei from different cell populations have different levels of sensitivity to damages. Do you have data that compare different snRNA-seq technologies for data loss from certain nuclei (from certain cell populations)?

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edit 0 Answer 1 View Feb 1, 2024

Does it work for nucleus?

Does this protocol work for nucleus of skeletal muscle?

edit 0 Answer 0 View Feb 1, 2024

Why single cellss are used for this study?

Why single cellss are used for this study?


edit 0 Answer 0 View Feb 1, 2024

dPCR - how's it different?

How is this technology different from digital PCR?

edit 0 Answer 0 View Jan 31, 2024