Evidence map›Paper›PMID 39478175›Full record

ArticleNature methods2024

Quality control for single-cell analysis of high-plex tissue profiles using CyLinter.

Gregory J Baker, Edward Novikov, Ziyuan Zhao, Tuulia Vallius, Janae A Davis, Jia-Ren Lin, Jeremy L Muhlich, Elizabeth A Mittendorf, Sandro Santagata, Jennifer L Guerriero and 1 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data.IEEE transactions on visualization and computer graphics · 2026
    Article
  8. Review
  9. SEAL : Spatially-resolved Embedding Analysis with Linked Imaging Data.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Gregory J BakerLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA. gregory_baker2@hms.harvard.edu.ORCID http://orcid.org/0000-0002-5196-3961
Edward NovikovLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
Ziyuan ZhaoSystems, Synthetic, and Quantitative Biology Program, Harvard University, Cambridge, MA, USA.
Tuulia ValliusLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3006-4887
Janae A DavisBreast Tumor Immunology Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.
Jia-Ren LinLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4702-7705
Jeremy L MuhlichLaboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0811-637X
Elizabeth A MittendorfBreast Tumor Immunology Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.
Sandro SantagataLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7528-9668
Jennifer L GuerrieroLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2104-5457
Peter K SorgerLudwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA. peter_sorger@hms.harvard.edu.ORCID http://orcid.org/0000-0002-3364-1838

Funding

Omic and Multidimensional Spatial Atlas of Metastatic Breast CancerU2CCA233280 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY · 2018 to 2023
$9.7M
Pre-cancer atlases of cutaneous and hematologic origin (PATCH Center)U2CCA233262 · NCI · HARVARD MEDICAL SCHOOL · PI SANTAGATA, SANDRO · 2018 to 2023
$8.7M
Visual Analytics for Exploration and Hypothesis Generation Using Highly MultiplexedSpatial Data of Tissues and TumorsU01CA284207 · NCI · HARVARD MEDICAL SCHOOL · PI PFISTER, HANSPETER, SANTAGATA, SANDRO · 2023 to 2025
$1.4M
Advancing technologies for the collection and analysis of high dimensional immunoprofiles and tumor imagesR50CA274277 · NCI · HARVARD MEDICAL SCHOOL · PI Jia-Ren Lin · 2022 to 2026
$879k
Division of Cancer Prevention, National Cancer Institute (NCI Division of Cancer Prevention) U01-CA284207Division of Cancer Prevention, National Cancer Institute (NCI Division of Cancer Prevention) U2C-CA233262Gates Foundation INV-027106NCI NIH HHS R50 CA274277NCI NIH HHS U01 CA284207NCI NIH HHS U2C CA233262NCI NIH HHS U2C CA233280
6 · The paper itself

Abstract

Tumors are complex assemblies of cellular and acellular structures patterned on spatial scales from microns to centimeters. Study of these assemblies has advanced dramatically with the introduction of high-plex spatial profiling. Image-based profiling methods reveal the intensities and spatial distributions of 20-100 proteins at subcellular resolution in 10

Indexed as

ArtifactsImage Processing, Computer-AssistedQuality ControlSingle-Cell AnalysisSoftwareAnimalsHumans

Identifiers

PMID39478175
PMCPMC11621021

What OpenQuestion holds

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Registered trials

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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.