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MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases

We describe MCProj—an algorithm for analyzing query scRNA-seq data by projections over reference single-cell atlases. We represent the reference as a manifold of annotated metacell gene expression distributions. We then interpret query metacells as mixtures of atlas distributions while correcting fo...

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Autores principales: Ben-Kiki, Oren, Bercovich, Akhiad, Lifshitz, Aviezer, Raz, Ofir, Brook, Dror, Tanay, Amos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552220/
https://www.ncbi.nlm.nih.gov/pubmed/37798781
http://dx.doi.org/10.1186/s13059-023-03069-7
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author Ben-Kiki, Oren
Bercovich, Akhiad
Lifshitz, Aviezer
Raz, Ofir
Brook, Dror
Tanay, Amos
author_facet Ben-Kiki, Oren
Bercovich, Akhiad
Lifshitz, Aviezer
Raz, Ofir
Brook, Dror
Tanay, Amos
author_sort Ben-Kiki, Oren
collection PubMed
description We describe MCProj—an algorithm for analyzing query scRNA-seq data by projections over reference single-cell atlases. We represent the reference as a manifold of annotated metacell gene expression distributions. We then interpret query metacells as mixtures of atlas distributions while correcting for technology-specific gene biases. This approach distinguishes and tags query cells that are consistent with atlas states from unobserved (novel or artifactual) behaviors. It also identifies expression differences observed in successfully mapped query states. We showcase MCProj functionality by projecting scRNA-seq data on a blood cell atlas, deriving precise, quantitative, and interpretable results across technologies and datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03069-7.
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spelling pubmed-105522202023-10-06 MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases Ben-Kiki, Oren Bercovich, Akhiad Lifshitz, Aviezer Raz, Ofir Brook, Dror Tanay, Amos Genome Biol Method We describe MCProj—an algorithm for analyzing query scRNA-seq data by projections over reference single-cell atlases. We represent the reference as a manifold of annotated metacell gene expression distributions. We then interpret query metacells as mixtures of atlas distributions while correcting for technology-specific gene biases. This approach distinguishes and tags query cells that are consistent with atlas states from unobserved (novel or artifactual) behaviors. It also identifies expression differences observed in successfully mapped query states. We showcase MCProj functionality by projecting scRNA-seq data on a blood cell atlas, deriving precise, quantitative, and interpretable results across technologies and datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03069-7. BioMed Central 2023-10-05 /pmc/articles/PMC10552220/ /pubmed/37798781 http://dx.doi.org/10.1186/s13059-023-03069-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Ben-Kiki, Oren
Bercovich, Akhiad
Lifshitz, Aviezer
Raz, Ofir
Brook, Dror
Tanay, Amos
MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title_full MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title_fullStr MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title_full_unstemmed MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title_short MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases
title_sort mcproj: metacell projection for interpretable and quantitative use of transcriptional atlases
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552220/
https://www.ncbi.nlm.nih.gov/pubmed/37798781
http://dx.doi.org/10.1186/s13059-023-03069-7
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