Literature DB >> 36216958

Light-Seq: light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing.

Jocelyn Y Kishi1,2, Ninning Liu3, Emma R West4,5, Kuanwei Sheng3, Jack J Jordanides3, Matthew Serrata3, Constance L Cepko6,7,8, Sinem K Saka9,10,11, Peng Yin12,13.   

Abstract

We present Light-Seq, an approach for multiplexed spatial indexing of intact biological samples using light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Light-Seq combines spatially targeted, rapid photocrosslinking of DNA barcodes onto complementary DNAs in situ with a one-step DNA stitching reaction to create pooled, spatially indexed sequencing libraries. This light-directed barcoding enables in situ selection of multiple cell populations in intact fixed tissue samples for full-transcriptome sequencing based on location, morphology or protein stains, without cellular dissociation. Applying Light-Seq to mouse retinal sections, we recovered thousands of differentially enriched transcripts from three cellular layers and discovered biomarkers for a very rare neuronal subtype, dopaminergic amacrine cells, from only four to eight individual cells per section. Light-Seq provides an accessible workflow to combine in situ imaging and protein staining with next generation sequencing of the same cells, leaving the sample intact for further analysis post-sequencing.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36216958     DOI: 10.1038/s41592-022-01604-1

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   47.990


  84 in total

1.  Intelligent Image-Activated Cell Sorting.

Authors:  Nao Nitta; Takeaki Sugimura; Akihiro Isozaki; Hideharu Mikami; Kei Hiraki; Shinya Sakuma; Takanori Iino; Fumihito Arai; Taichiro Endo; Yasuhiro Fujiwaki; Hideya Fukuzawa; Misa Hase; Takeshi Hayakawa; Kotaro Hiramatsu; Yu Hoshino; Mary Inaba; Takuro Ito; Hiroshi Karakawa; Yusuke Kasai; Kenichi Koizumi; SangWook Lee; Cheng Lei; Ming Li; Takanori Maeno; Satoshi Matsusaka; Daichi Murakami; Atsuhiro Nakagawa; Yusuke Oguchi; Minoru Oikawa; Tadataka Ota; Kiyotaka Shiba; Hirofumi Shintaku; Yoshitaka Shirasaki; Kanako Suga; Yuta Suzuki; Nobutake Suzuki; Yo Tanaka; Hiroshi Tezuka; Chihana Toyokawa; Yaxiaer Yalikun; Makoto Yamada; Mai Yamagishi; Takashi Yamano; Atsushi Yasumoto; Yutaka Yatomi; Masayuki Yazawa; Dino Di Carlo; Yoichiroh Hosokawa; Sotaro Uemura; Yasuyuki Ozeki; Keisuke Goda
Journal:  Cell       Date:  2018-08-27       Impact factor: 41.582

2.  Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.

Authors:  Samuel G Rodriques; Robert R Stickels; Aleksandrina Goeva; Carly A Martin; Evan Murray; Charles R Vanderburg; Joshua Welch; Linlin M Chen; Fei Chen; Evan Z Macosko
Journal:  Science       Date:  2019-03-28       Impact factor: 47.728

3.  Spatially Resolved Transcriptomes-Next Generation Tools for Tissue Exploration.

Authors:  Michaela Asp; Joseph Bergenstråhle; Joakim Lundeberg
Journal:  Bioessays       Date:  2020-05-04       Impact factor: 4.345

4.  Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq.

Authors:  Chiara Medaglia; Amir Giladi; Liat Stoler-Barak; Marco De Giovanni; Tomer Meir Salame; Adi Biram; Eyal David; Hanjie Li; Matteo Iannacone; Ziv Shulman; Ido Amit
Journal:  Science       Date:  2017-12-07       Impact factor: 47.728

Review 5.  Museum of spatial transcriptomics.

Authors:  Lambda Moses; Lior Pachter
Journal:  Nat Methods       Date:  2022-03-10       Impact factor: 28.547

6.  High-speed fluorescence image-enabled cell sorting.

Authors:  Terra M Kuhn; Benedikt Rauscher; Marta Rodríguez-Martínez; Daniel Schraivogel; Malte Paulsen; Keegan Owsley; Aaron Middlebrook; Christian Tischer; Beáta Ramasz; Diana Ordoñez-Rueda; Martina Dees; Sara Cuylen-Haering; Eric Diebold; Lars M Steinmetz
Journal:  Science       Date:  2022-01-20       Impact factor: 63.714

7.  Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.

Authors:  Ditte Lovatt; Brittani K Ruble; Jaehee Lee; Hannah Dueck; Tae Kyung Kim; Stephen Fisher; Chantal Francis; Jennifer M Spaethling; John A Wolf; M Sean Grady; Alexandra V Ulyanova; Sean B Yeldell; Julianne C Griepenburg; Peter T Buckley; Junhyong Kim; Jai-Yoon Sul; Ivan J Dmochowski; James Eberwine
Journal:  Nat Methods       Date:  2014-01-12       Impact factor: 28.547

8.  High-throughput, microscope-based sorting to dissect cellular heterogeneity.

Authors:  Nicholas Hasle; Anthony Cooke; Sanjay Srivatsan; Heather Huang; Jason J Stephany; Zachary Krieger; Dana Jackson; Weiliang Tang; Sriram Pendyala; Raymond J Monnat; Cole Trapnell; Emily M Hatch; Douglas M Fowler
Journal:  Mol Syst Biol       Date:  2020-06       Impact factor: 11.429

9.  Linked optical and gene expression profiling of single cells at high-throughput.

Authors:  Jesse Q Zhang; Christian A Siltanen; Leqian Liu; Kai-Chun Chang; Zev J Gartner; Adam R Abate
Journal:  Genome Biol       Date:  2020-02-24       Impact factor: 13.583

10.  μDamID: A Microfluidic Approach for Joint Imaging and Sequencing of Protein-DNA Interactions in Single Cells.

Authors:  Nicolas Altemose; Annie Maslan; Carolina Rios-Martinez; Andre Lai; Jonathan A White; Aaron Streets
Journal:  Cell Syst       Date:  2020-09-23       Impact factor: 10.304

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.