Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology

Research output: Contribution to journal › Review › Research › peer-review

Standard

Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology. / Teves, Joji Marie; Won, Kyoung Jae.

In: Molecules and Cells, Vol. 43, No. 7, 2020, p. 591-599.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Teves, JM & Won, KJ 2020, 'Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology', Molecules and Cells, vol. 43, no. 7, pp. 591-599. https://doi.org/10.14348/molcells.2020.0020

APA

Teves, J. M., & Won, K. J. (2020). Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology. Molecules and Cells, 43(7), 591-599. https://doi.org/10.14348/molcells.2020.0020

Vancouver

Teves JM, Won KJ. Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology. Molecules and Cells. 2020;43(7):591-599. https://doi.org/10.14348/molcells.2020.0020

Author

Teves, Joji Marie ; Won, Kyoung Jae. / Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology. In: Molecules and Cells. 2020 ; Vol. 43, No. 7. pp. 591-599.

Bibtex

@article{80be8e55071c49a4be15d221ed011fe7,
title = "Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology",
abstract = "Complex cell-to-cell communication underlies the basic processes essential for homeostasis in the given tissue architecture. Obtaining quantitative gene-expression of cells in their native context has significantly advanced through single-cell RNA sequencing technologies along with mechanical and enzymatic tissue manipulation. This approach, however, is largely reliant on the physical dissociation of individual cells from the tissue, thus, resulting in a library with unaccounted positional information. To overcome this, positional information can be obtained by integrating imaging and positional barcoding. Collectively, spatial transcriptomics strategies provide tissue architecture-dependent as well as position-dependent cellular functions. This review discusses the current technologies for spatial transcriptomics ranging from the methods combining mechanical dissociation and single-cell RNA sequencing to computational spatial re-mapping.",
keywords = "cellular communication, single-cell RNA, spatial transcriptomics, tissue architecture, LASER CAPTURE MICRODISSECTION, IN-SITU HYBRIDIZATION, GENE-EXPRESSION, SINGLE, SEQ, TISSUE, RECONSTRUCTION, HETEROGENEITY, CONTINUUM",
author = "Teves, {Joji Marie} and Won, {Kyoung Jae}",
year = "2020",
doi = "10.14348/molcells.2020.0020",
language = "English",
volume = "43",
pages = "591--599",
journal = "Molecules and Cells",
issn = "1016-8478",
publisher = "Korean Society for Molecular Biology",
number = "7",

}

RIS

TY - JOUR

T1 - Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology

AU - Teves, Joji Marie

AU - Won, Kyoung Jae

PY - 2020

Y1 - 2020

N2 - Complex cell-to-cell communication underlies the basic processes essential for homeostasis in the given tissue architecture. Obtaining quantitative gene-expression of cells in their native context has significantly advanced through single-cell RNA sequencing technologies along with mechanical and enzymatic tissue manipulation. This approach, however, is largely reliant on the physical dissociation of individual cells from the tissue, thus, resulting in a library with unaccounted positional information. To overcome this, positional information can be obtained by integrating imaging and positional barcoding. Collectively, spatial transcriptomics strategies provide tissue architecture-dependent as well as position-dependent cellular functions. This review discusses the current technologies for spatial transcriptomics ranging from the methods combining mechanical dissociation and single-cell RNA sequencing to computational spatial re-mapping.

AB - Complex cell-to-cell communication underlies the basic processes essential for homeostasis in the given tissue architecture. Obtaining quantitative gene-expression of cells in their native context has significantly advanced through single-cell RNA sequencing technologies along with mechanical and enzymatic tissue manipulation. This approach, however, is largely reliant on the physical dissociation of individual cells from the tissue, thus, resulting in a library with unaccounted positional information. To overcome this, positional information can be obtained by integrating imaging and positional barcoding. Collectively, spatial transcriptomics strategies provide tissue architecture-dependent as well as position-dependent cellular functions. This review discusses the current technologies for spatial transcriptomics ranging from the methods combining mechanical dissociation and single-cell RNA sequencing to computational spatial re-mapping.

KW - cellular communication

KW - single-cell RNA

KW - spatial transcriptomics

KW - tissue architecture

KW - LASER CAPTURE MICRODISSECTION

KW - IN-SITU HYBRIDIZATION

KW - GENE-EXPRESSION

KW - SINGLE

KW - SEQ

KW - TISSUE

KW - RECONSTRUCTION

KW - HETEROGENEITY

KW - CONTINUUM

U2 - 10.14348/molcells.2020.0020

DO - 10.14348/molcells.2020.0020

M3 - Review

C2 - 32507771

VL - 43

SP - 591

EP - 599

JO - Molecules and Cells

JF - Molecules and Cells

SN - 1016-8478

IS - 7

ER -

ID: 247158723