4.5 Article

An automated Raman-based platform for the sorting of live cells by functional properties

期刊

NATURE MICROBIOLOGY
卷 4, 期 6, 页码 1035-1048

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41564-019-0394-9

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资金

  1. US Department of Energy Joint Genome Institute Emerging Technologies Opportunity grant [DE-AC02-05CH11231]
  2. European Research Council [NITRICARE 294343, FunKeyGut 741623]
  3. Gordon and Betty Moore Marine Microbial Initiative Investigator Award [3783]
  4. Engineering and Physical Sciences Research Council [EP/R035350/1, EP/S001921/1]
  5. Austrian Science Fund (FWF) [P26127-B20]
  6. European Union's Horizon 2020 Framework Programme for Research and Innovation [658718]
  7. Austrian Science Fund (FWF) project Microbial Nitrogen Cycling-From Single Cells to Ecosystems [W1257]
  8. EPSRC [EP/S001921/1, EP/R035350/1] Funding Source: UKRI
  9. Engineering and Physical Sciences Research Council [EP/S001921/1, EP/R035350/1] Funding Source: researchfish
  10. Marie Curie Actions (MSCA) [658718] Funding Source: Marie Curie Actions (MSCA)
  11. Austrian Science Fund (FWF) [W1257] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

Stable-isotope probing is widely used to study the function of microbial taxa in their natural environment, but sorting of isotopically labelled microbial cells from complex samples for subsequent genomic analysis or cultivation is still in its early infancy. Here, we introduce an optofluidic platform for automated sorting of stable-isotope-probing-labelled microbial cells, combining microfluidics, optical tweezing and Raman microspectroscopy, which yields live cells suitable for subsequent single-cell genomics, mini-metagenomics or cultivation. We describe the design and optimization of this Raman-activated cell-sorting approach, illustrate its operation with four model bacteria (two intestinal, one soil and one marine) and demonstrate its high sorting accuracy (98.3 +/- 1.7%), throughput (200-500 cells h(-1); 3.3-8.3 cells min(-1)) and compatibility with cultivation. Application of this sorting approach for the metagenomic characterization of bacteria involved in mucin degradation in the mouse colon revealed a diverse consortium of bacteria, including several members of the underexplored family Muribaculaceae, highlighting both the complexity of this niche and the potential of Raman-activated cell sorting for identifying key players in targeted processes.

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