scTrends: A living review of commercial single-cell and spatial 'omic technologies

SummaryUnderstanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field...

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Published inCell genomics Vol. 4; no. 12; p. 100723
Main Authors De Jonghe, Joachim, Opzoomer, James W, Vilas-Zornoza, Amaia, Nilges, Benedikt S, Crane, Peter, Vicari, Marco, Lee, Hower, Lara-Astiaso, David, Gross, Torsten, Morf, Jörg, Schneider, Kim, Cudini, Juliana, Ramos-Mucci, Lorenzo, Mooijman, Dylan, Tiklová, Katarína, Salas, Sergio Marco, Langseth, Christoffer Mattsson, Kashikar, Nachiket D, Schapiro, Denis, Lundeberg, Joakim, Nilsson, Mats, Shalek, Alex K, Cribbs, Adam P, Taylor-King, Jake P
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 11.12.2024
Elsevier
Subjects
Genetics
High-Throughput Nucleotide Sequencing - methods
Humans
Review
Single-Cell Analysis - methods
Single-Cell Analysis - trends
Online AccessGet full text
ISSN2666-979X
2666-979X
DOI10.1016/j.xgen.2024.100723

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Abstract SummaryUnderstanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.
AbstractList Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research. [Display omitted] De Jonghe et al. present a comprehensive review of current commercial single-cell and spatial omic technologies, outlining key platforms, methodologies, and trends shaping the field—from microfluidics and plate-based approaches to combinatorial indexing, highlighting their applications in drug discovery. The authors discuss emerging engineering and computational advancements that are enabling more efficient data generation and interpretation. Finally, they explore new tools and techniques that promise to expand the scope of omic analyses, driving innovation and understanding in biomedical research.
Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.
Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.
SummaryUnderstanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.
Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research. De Jonghe et al. present a comprehensive review of current commercial single-cell and spatial omic technologies, outlining key platforms, methodologies, and trends shaping the field—from microfluidics and plate-based approaches to combinatorial indexing, highlighting their applications in drug discovery. The authors discuss emerging engineering and computational advancements that are enabling more efficient data generation and interpretation. Finally, they explore new tools and techniques that promise to expand the scope of omic analyses, driving innovation and understanding in biomedical research.
ArticleNumber 100723
Author Lee, Hower
Opzoomer, James W
Crane, Peter
Mooijman, Dylan
Tiklová, Katarína
Kashikar, Nachiket D
Morf, Jörg
Shalek, Alex K
Lara-Astiaso, David
De Jonghe, Joachim
Cribbs, Adam P
Vilas-Zornoza, Amaia
Salas, Sergio Marco
Schapiro, Denis
Langseth, Christoffer Mattsson
Schneider, Kim
Taylor-King, Jake P
Nilsson, Mats
Nilges, Benedikt S
Vicari, Marco
Ramos-Mucci, Lorenzo
Lundeberg, Joakim
Gross, Torsten
Cudini, Juliana
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Snippet SummaryUnderstanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug...
Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We...
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pubmedcentral
proquest
pubmed
crossref
elsevier
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StartPage 100723
SubjectTerms Genetics
High-Throughput Nucleotide Sequencing - methods
Humans
Review
Single-Cell Analysis - methods
Single-Cell Analysis - trends
Title scTrends: A living review of commercial single-cell and spatial 'omic technologies
URI https://www.clinicalkey.es/playcontent/1-s2.0-S2666979X24003525
https://dx.doi.org/10.1016/j.xgen.2024.100723
https://www.ncbi.nlm.nih.gov/pubmed/39667347
https://www.proquest.com/docview/3146663331
https://pubmed.ncbi.nlm.nih.gov/PMC11701258
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-357891
https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-240557
Volume 4
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