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Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging
[Image: see text] Raman spectroscopy has long been known to provide sufficient information to discriminate distinct cell phenotypes. Underlying this discriminating capability is that Raman spectra provide an overall readout of the metabolic profiles that change with transcriptomic activity. Robustly...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316396/ https://www.ncbi.nlm.nih.gov/pubmed/37311254 http://dx.doi.org/10.1021/acs.jpcb.3c01446 |
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author | Poorna, Rajas Chen, Wei-Wen Qiu, Peng Cicerone, Marcus T. |
author_facet | Poorna, Rajas Chen, Wei-Wen Qiu, Peng Cicerone, Marcus T. |
author_sort | Poorna, Rajas |
collection | PubMed |
description | [Image: see text] Raman spectroscopy has long been known to provide sufficient information to discriminate distinct cell phenotypes. Underlying this discriminating capability is that Raman spectra provide an overall readout of the metabolic profiles that change with transcriptomic activity. Robustly associating Raman spectral changes with the regulation of specific signaling pathways may be possible, but the spectral signals of interest may be weak and vary somewhat among individuals. Establishing a Raman-to-transcriptome mapping will thus require tightly controlled and easily manipulated biological systems and high-throughput spectral acquisition. We attempt to meet these requirements using broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to spatio-spectrally map the C. elegans hermaphrodite gonad in vivo at subcellular resolution. The C. elegans hermaphrodite gonad is an ideal model system with a sequential, continuous process of highly regulated spatiotemporal cellular events. We demonstrate that the BCARS spatio-spectral signatures correlate with gene expression profiles in the gonad, evincing that BCARS has potential as a spatially resolved omics surrogate. |
format | Online Article Text |
id | pubmed-10316396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103163962023-07-04 Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging Poorna, Rajas Chen, Wei-Wen Qiu, Peng Cicerone, Marcus T. J Phys Chem B [Image: see text] Raman spectroscopy has long been known to provide sufficient information to discriminate distinct cell phenotypes. Underlying this discriminating capability is that Raman spectra provide an overall readout of the metabolic profiles that change with transcriptomic activity. Robustly associating Raman spectral changes with the regulation of specific signaling pathways may be possible, but the spectral signals of interest may be weak and vary somewhat among individuals. Establishing a Raman-to-transcriptome mapping will thus require tightly controlled and easily manipulated biological systems and high-throughput spectral acquisition. We attempt to meet these requirements using broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to spatio-spectrally map the C. elegans hermaphrodite gonad in vivo at subcellular resolution. The C. elegans hermaphrodite gonad is an ideal model system with a sequential, continuous process of highly regulated spatiotemporal cellular events. We demonstrate that the BCARS spatio-spectral signatures correlate with gene expression profiles in the gonad, evincing that BCARS has potential as a spatially resolved omics surrogate. American Chemical Society 2023-06-13 /pmc/articles/PMC10316396/ /pubmed/37311254 http://dx.doi.org/10.1021/acs.jpcb.3c01446 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Poorna, Rajas Chen, Wei-Wen Qiu, Peng Cicerone, Marcus T. Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging |
title | Toward Gene-Correlated
Spatially Resolved Metabolomics
with Fingerprint Coherent Raman Imaging |
title_full | Toward Gene-Correlated
Spatially Resolved Metabolomics
with Fingerprint Coherent Raman Imaging |
title_fullStr | Toward Gene-Correlated
Spatially Resolved Metabolomics
with Fingerprint Coherent Raman Imaging |
title_full_unstemmed | Toward Gene-Correlated
Spatially Resolved Metabolomics
with Fingerprint Coherent Raman Imaging |
title_short | Toward Gene-Correlated
Spatially Resolved Metabolomics
with Fingerprint Coherent Raman Imaging |
title_sort | toward gene-correlated
spatially resolved metabolomics
with fingerprint coherent raman imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316396/ https://www.ncbi.nlm.nih.gov/pubmed/37311254 http://dx.doi.org/10.1021/acs.jpcb.3c01446 |
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