Evidence map›Paper›PMID 39667347›Full record

ReviewCell genomics2024

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

Joachim De Jonghe, James W Opzoomer, Amaia Vilas-Zornoza, Benedikt S Nilges, Peter Crane, Marco Vicari, Hower Lee, David Lara-Astiaso, Torsten Gross, Jörg Morf and 15 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
  5. Article
  6. Review
  7. Review
  8. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Joachim De JongheFrancis Crick Institute, London, UK.
James W OpzoomerCell Communication Lab, Department of Oncology, University College London Cancer Institute, London, UK; Relation Therapeutics, London, UK.
Amaia Vilas-ZornozaRelation Therapeutics, London, UK.
Benedikt S NilgesOMAPiX GmbH, Langenfeld, Rheinland, Germany.
Peter CraneCaeruleus Genomics, Oxford, UK.
Marco VicariScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Solna, Sweden.
Hower Leespatialist AB, Stockholm, Sweden; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.
David Lara-AstiasoDepartment of Hematology, University of Cambridge, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK.
Torsten GrossRelation Therapeutics, London, UK.
Jörg MorfSkyhawk Therapeutics, Basel, Switzerland.
Kim SchneiderRoche, Basel, Switzerland.
Juliana CudiniRelation Therapeutics, London, UK.
Lorenzo Ramos-MucciRelation Therapeutics, London, UK.
Dylan MooijmanSingle Cell Discoveries, Utrecht, the Netherlands.
Katarína TiklováScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.
Sergio Marco Salasspatialist AB, Stockholm, Sweden; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.
Christoffer Mattsson Langsethspatialist AB, Stockholm, Sweden; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.
Nachiket D KashikarOMAPiX GmbH, Langenfeld, Rheinland, Germany.
scTrends Consortium
Denis SchapiroInstitute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Translational Spatial Profiling Center (TSPC), Heidelberg, Germany.
Joakim LundebergScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Solna, Sweden.
Mats NilssonScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.
Alex K ShalekRelation Therapeutics, London, UK; Institute for Medical Engineering and Science, Department of Chemistry and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Adam P CribbsCaeruleus Genomics, Oxford, UK; Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK; Oxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK. Electronic address: adam.cribbs@ndorms.ox.ac.uk.
Jake P Taylor-KingRelation Therapeutics, London, UK. Electronic address: jake@relationrx.com.

Funding

Medical Research Council MR/V010182/1
6 · The paper itself

Abstract

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.

Indexed as

Single-Cell AnalysisHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID39667347
PMCPMC11701258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.