Literature DB >> 26225617

Towards high-throughput microfluidic Raman-activated cell sorting.

Qiang Zhang1, Peiran Zhang, Honglei Gou, Chunbo Mou, Wei E Huang, Menglong Yang, Jian Xu, Bo Ma.   

Abstract

Raman-activated cell sorting (RACS) is a promising single-cell analysis technology that is able to identify and isolate individual cells of targeted type, state or environment from an isogenic population or complex consortium of cells, in a label-free and non-invasive manner. However, compared with those widely used yet labeling-required or staining-dependent cell sorting technologies such as FACS and MACS, the weak Raman signal greatly limits the further development of the existing RACS systems to achieve higher throughput. Strategies that can tackle this bottleneck include, first, improvement of Raman-acquisition efficiency and quality based on advanced Raman spectrometers and enhanced Raman techniques; second, development of novel microfluidic devices for cell sorting followed by integration into a complete RACS system. Exploiting these strategies, prototypes for a new generation of RACS have been demonstrated, such as flow-based OT-RACS, DEP-RACS, and SERS/CARS flow cytometry. Such high-throughput microfluidic RACS can provide biologists with a powerful single-cell analysis tool to explore the scientific questions or applications that have been beyond the reach of FACS and MACS.

Entities:  

Mesh:

Year:  2015        PMID: 26225617     DOI: 10.1039/c5an01074h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  16 in total

Review 1.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

Review 2.  Next-generation physiology approaches to study microbiome function at single cell level.

Authors:  Roland Hatzenpichler; Viola Krukenberg; Rachel L Spietz; Zackary J Jay
Journal:  Nat Rev Microbiol       Date:  2020-02-13       Impact factor: 60.633

3.  Single-cell genomics based on Raman sorting reveals novel carotenoid-containing bacteria in the Red Sea.

Authors:  Yizhi Song; Anne-Kristin Kaster; John Vollmers; Yanqing Song; Paul A Davison; Martinique Frentrup; Gail M Preston; Ian P Thompson; J Colin Murrell; Huabing Yin; C Neil Hunter; Wei E Huang
Journal:  Microb Biotechnol       Date:  2016-10-17       Impact factor: 5.813

4.  Label-free, simultaneous quantification of starch, protein and triacylglycerol in single microalgal cells.

Authors:  Yuehui He; Peng Zhang; Shi Huang; Tingting Wang; Yuetong Ji; Jian Xu
Journal:  Biotechnol Biofuels       Date:  2017-11-17       Impact factor: 6.040

Review 5.  Microfluidic-based sperm sorting & analysis for treatment of male infertility.

Authors:  Raheel Samuel; Haidong Feng; Alex Jafek; Dillon Despain; Timothy Jenkins; Bruce Gale
Journal:  Transl Androl Urol       Date:  2018-07

6.  Multiplexed live-cell profiling with Raman probes.

Authors:  Chen Chen; Zhilun Zhao; Naixin Qian; Shixuan Wei; Fanghao Hu; Wei Min
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

Review 7.  Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level.

Authors:  Zixi Chen; Lei Chen; Weiwen Zhang
Journal:  Front Microbiol       Date:  2017-09-20       Impact factor: 5.640

Review 8.  Capturing the genetic makeup of the active microbiome in situ.

Authors:  Esther Singer; Michael Wagner; Tanja Woyke
Journal:  ISME J       Date:  2017-06-02       Impact factor: 10.302

9.  Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome.

Authors:  Lin Teng; Xian Wang; Xiaojun Wang; Honglei Gou; Lihui Ren; Tingting Wang; Yun Wang; Yuetong Ji; Wei E Huang; Jian Xu
Journal:  Sci Rep       Date:  2016-10-19       Impact factor: 4.379

10.  Raman image-activated cell sorting.

Authors:  Takanori Iino; Akihiro Isozaki; Mai Yamagishi; Yasutaka Kitahama; Shinya Sakuma; Nao Nitta; Yuta Suzuki; Hiroshi Tezuka; Minoru Oikawa; Fumihito Arai; Takuya Asai; Dinghuan Deng; Hideya Fukuzawa; Misa Hase; Tomohisa Hasunuma; Takeshi Hayakawa; Kei Hiraki; Kotaro Hiramatsu; Yu Hoshino; Mary Inaba; Yuki Inoue; Takuro Ito; Masataka Kajikawa; Hiroshi Karakawa; Yusuke Kasai; Yuichi Kato; Hirofumi Kobayashi; Cheng Lei; Satoshi Matsusaka; Hideharu Mikami; Atsuhiro Nakagawa; Keiji Numata; Tadataka Ota; Takeichiro Sekiya; Kiyotaka Shiba; Yoshitaka Shirasaki; Nobutake Suzuki; Shunji Tanaka; Shunnosuke Ueno; Hiroshi Watarai; Takashi Yamano; Masayuki Yazawa; Yusuke Yonamine; Dino Di Carlo; Yoichiroh Hosokawa; Sotaro Uemura; Takeaki Sugimura; Yasuyuki Ozeki; Keisuke Goda
Journal:  Nat Commun       Date:  2020-07-10       Impact factor: 14.919

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