Evidence map›Paper›PMID 33434721›Full record

ReviewCurrent opinion in genetics & development2021

Spatially resolved transcriptomics and its applications in cancer.

Silas Maniatis, Joana Petrescu, Hemali Phatnani

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Review
  7. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
    Review
  8. Spatial Profiling Identifies Tumor-Associated Stroma Enrichment and MIF as Potential Immunotherapy Targets in Primary Ewing Sarcomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

3 authors.

Silas ManiatisCenter for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA.
Joana PetrescuCenter for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA; Department of Neurology, Division of Neuromuscular Medicine, Columbia University, New York, NY, USA.
Hemali PhatnaniCenter for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA; Department of Neurology, Division of Neuromuscular Medicine, Columbia University, New York, NY, USA. Electronic address: HPhatnani@nygenome.org.

Funding

Integrating Spatial Multi-omics and Clinical Covariates to Identify Mechanisms of Disease in ALS-FTDR01NS118183 · NINDS · NEW YORK GENOME CENTER · PI Hemali Phatnani · 2020 to 2026
$4.7M
Spatially Resolved Dynamics of Molecular Pathology and Intercellular Interactions in Amytrophic Lateral SclerosisR01NS116350 · NINDS · NEW YORK GENOME CENTER · PI Hemali Phatnani · 2020 to 2026
$3.6M
Clinicopathologic correlates of cognitive impairment in amyotrophic lateral sclerosis and frontotemporal dementia spectrum disorders (ALS-FTD)F30AG072766 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PETRESCU, JOANA · 2022 to 2024
$135k
NIA NIH HHS F30 AG072766NINDS NIH HHS R01 NS116350NINDS NIH HHS R01 NS118183
6 · The paper itself

Abstract

Spatially resolved transcriptomics (SRT) offers the promise of understanding cells and their modes of dysfunction in the context of intact tissues. Technologies for SRT have advanced rapidly with a large number being published in recent years. Diverse methods for SRT produce data at widely varying depth, throughput, accessibility and cost. Many published SRT methods have been demonstrated only in their labs of origin, while others have matured to the point of commercialization and widespread availability. Here we review technologies for SRT, and their application in studies of tumor heterogeneity.

Indexed as

Genetic HeterogeneityGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasmsTranscriptome

Identifiers

PMID33434721
PMCPMC7969406

What OpenQuestion holds

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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.