Opto-combinatorial indexing enables high-content transcriptomics by linking cell images and transcriptomes-Reference-Cited by-同舟云学术

Opto-combinatorial indexing enables high-content transcriptomics by linking cell images and transcriptomes

Published:2024 Issue:8 Volume:24 Page:2287-2297
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Tsuchida Arata¹²^ORCID,Kaneko Taikopaul¹^ORCID,Nishikawa Kaori¹,Kawasaki Mayu¹,Yokokawa Ryuji²^ORCID,Shintaku Hirofumi¹²³^ORCID

Affiliation:

1. Cluster for Pioneering Research, RIKEN, Main Research Building 2-1 Hirosawa, Wako, Saitama 351-0198, Japan

2. Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyotodaigaku-katsura, Nishikyo-ku, Kyoto 615-8540, Japan

3. Institute for Life and Medical Science, Kyoto University, 53 Kawara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan

Abstract

We introduce a simple integrated analysis method that links cellular phenotypic behaviour with single-cell RNA sequencing by utilizing a combination of optical indices from cells and hydrogel beads.

Funder

Core Research for Evolutional Science and Technology

RIKEN

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/LC/D3LC00866E

Reference35 articles.

1. Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput

2. Second-Strand Synthesis-Based Massively Parallel scRNA-Seq Reveals Cellular States and Molecular Features of Human Inflammatory Skin Pathologies

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4. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

5. Multiplexed quantification of proteins and transcripts in single cells