Multiplexed laser particles for spatially resolved single-cell analysis

Sheldon J. J. Kwok; Nicola Martino; Paul H. Dannenberg; Seok-Hyun Yun

doi:10.1038/s41377-019-0183-5

Go to Nature Website

Your Location：

Home >

Browse articles >

Multiplexed laser particles for spatially resolved single-cell analysis

Perspectives

- Multiplexed laser particles for spatially resolved single-cell analysis
- Multiplexed laser particles for spatially resolved single-cell analysis
- LSA 2019年8卷第5期页码：649-653
- Affiliations：
  
  1.Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
  2.Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
  3.LASE Innovation Inc., 650 E. Kendall Street, 2nd FL, Cambridge, MA 02142, USA
- Author bio：
  
  Seok-Hyun Yun (syun@hms.harvard.edu)
- Funds：
- DOI：10.1038/s41377-019-0183-5
  中图分类号：
- 纸质出版日期：2019，
  
  网络出版日期：2019-08-21，
  
  收稿日期：2019-03-02，
  
  修回日期：2019-07-11，
  
  录用日期：2019-07-22
- Accepted：
Scan QR Code
Multiplexed laser particles for spatially resolved single-cell analysis[J]. LSA, 2019,8(5):649-653.

Kwok, S. J. J. et al. Multiplexed laser particles for spatially resolved single-cell analysis. Light: Science & Applications, 8, 649-653 (2019).
Multiplexed laser particles for spatially resolved single-cell analysis[J]. LSA, 2019,8(5):649-653. DOI： 10.1038/s41377-019-0183-5.

Kwok, S. J. J. et al. Multiplexed laser particles for spatially resolved single-cell analysis. Light: Science & Applications, 8, 649-653 (2019). DOI： 10.1038/s41377-019-0183-5.

摘要

Abstract

Biomolecular analysis at the single-cell level is increasingly important in the study of cellular heterogeneity and its consequences

particularly in organismic development and complex diseases such as cancer. Single-cell molecular analyses have led to the identification of new cell types

and the discovery of novel targets for diagnosis and therapy

. While these analyses are performed predominantly on dissociated single cells

emerging techniques seek understanding of cellular state

cellular function and cell-cell interactions within the native tissue environment by combining optical microscopy and single-cell molecular analyses. These techniques include in situ multiplexed imaging of fluorescently labeled proteins and nucleotides

as well as low-throughput ex vivo methods in which specific cells are isolated for downstream molecular analyses. However

these methods are limited in either the number and type of molecular species they can identify or the number of cells that ca

n be analyzed. High-throughput methods are needed for comprehensive profiling of many cells (

1000) to detect rare cell types

discriminate relevant biomarkers from intrinsic population noise

and reduce the time and cost of measurement. Many established

high-throughput single-cell analyses are not directly applicable because they require tissue dissociation

leading to a loss of spatial information

. No current methods exist that can seamlessly connect spatial mapping to single-cell techniques. In this Perspective

we review current methods for spatially resolved single-cell analysis and discuss the prospect of novel multiplexed imaging probes

called laser particles

which allow individual cells to be tagged in tissue and analyzed subsequently using high-throughput

comprehensive single-cell techniques.

关键词

Keywords

references

Montoro, D. T. et al. A revised airway epithelial hierarchy includes CFTR-expressing ionocytes.Nature560, 319-324 (2018)..

Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.Science352, 189-196 (2016)..

Chappell, L., Russell, A. J. C.&Voet, T. Single-cell (multi)omics technologies.Annu. Rev. Genom. Hum. Genet.19, 15-41 (2018)..

Gut, G., Herrmann, M. D.&Pelkmans, L. Multiplexed protein maps link subcellular organization to cellular states.Science361, eaar7042 (2018)..

Goltsev, Y. et al. Deep profiling of mouse splenic architecture with CODEX multiplexed imaging.Cell174, 968-981.e15 (2018)..

Chen, K. H. et al. Spatially resolved, highly multiplexed RNA profiling in single cells.Science348, aaa6090 (2015)..

Lee, J. H. et al. Highly multiplexed subcellular RNA sequencing in situ.Science343, 1360-1363 (2014)..

Wang, X. et al. Three-dimensional intact-tissue sequencing of single-cell transcriptional states.Science361, eaat5691 (2018)..

Spitzer, M. H.&Nolan, G. P. Mass cytometry: single cells, many features.Cell165, 780-791 (2016)..

Lovatt, D. et al. Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.Nat. Methods11, 190-196 (2014)..

Casasent, A. K. et al. Multiclonal invasion in breast tumors identified by topographic single cell sequencing.Cell172, 205-217.e12 (2018)..

Moor, A. E. et al. Spatial reconstruction of single enterocytes uncovers broad zonation along the intestinal villus axis.Cell175, 1156-1167.e15 (2018)..

Giesen, C. et al. Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry.Nat. Methods11, 417-422 (2014)..

Ståhl, P. L. et al. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.Science353, 78-82 (2016)..

Livet, J. et al. Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system.Nature450, 56-62 (2007)..

Chen, C. H. et al. Multicolor cell barcoding technology for long-term surveillance of epithelial regeneration in zebrafish.Dev. Cell36, 668-680 (2016)..

Rees, P. et al. Nanoparticle vesicle encoding for imaging and tracking cell populations.Nat. Methods11, 1177-1181 (2014)..

Fan, Y. et al. Lifetime-engineered NIR-Ⅱ nanoparticles unlock multiplexed in vivo imaging.Nat. Nanotechnol.13, 941-946 (2018)..

Wei, L. et al. Super-multiplex vibrational imaging.Nature544, 465-470 (2017)..

Humar, M.&Yun, S. H. Intracellular microlasers.Nat. Photonics9, 572-576 (2015)..

Schubert, M. et al. Lasing within live cells containing intracellular optical microresonators for barcode-type cell tagging and tracking.Nano Lett.15, 5647-5652 (2015)..

Fernandez-Bravo, A. et al. Continuous-wave upconverting nanoparticle microlasers.Nat. Nanotechnol.13, 572-577 (2018)..

Cho, S. et al. Laser particle stimulated emission microscopy.Phys. Rev. Lett.117, 193902 (2016)..

Galanzha, E. I. et al. Spaser as a biological probe.Nat. Commun.8, 15528 (2017)..

Martino, N. et al. Wavelength-encoded laser particles for massively-multiplexed cell tagging.Nat. Photon.https://doi.org/10.1101/465104. (2019)

Macosko, E. Z. et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.Cell161, 1202-1214 (2015)..

Cao, J. Y. et al. Comprehensive single-cell transcriptional profiling of a multicellular organism.Science357, 661-667 (2017)..

Regev, A. et al. The human cell atlas.eLife6, e27041 (2017)..

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

暂无数据