Evidence map›Paper›PMID 38288374›Full record

ArticleNAR genomics and bioinformatics2024

Comparison of high-throughput single-cell RNA-seq methods for ex vivo drug screening.

Henrik Gezelius, Anna Pia Enblad, Anders Lundmark, Martin Åberg, Kristin Blom, Jakob Rudfeldt, Amanda Raine, Arja Harila, Verónica Rendo, Merja Heinäniemi and 2 more

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  10. Machine learning to dissect perturbations in complex cellular systems.Computational and structural biotechnology journal · 2025
    Review
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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

12 authors at 2 institutions in 2 countries.

Henrik GezeliusDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0002-6242-6344
Anna Pia EnbladDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0001-6505-4198
Anders LundmarkDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0003-2611-1772
Martin ÅbergDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.
Kristin BlomDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.
Jakob RudfeldtDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.
Amanda RaineDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0002-2775-6516
Arja HarilaDepartment of Women's and Children's Health, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0003-2767-5828
Verónica RendoDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0002-2983-4020
Merja HeinäniemiSchool of Medicine, University of Eastern Finland, 70210 Kuopio, Finland.ORCID https://orcid.org/0000-0003-0071-6802
Claes AnderssonDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.
Jessica NordlundDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala 751 85, Sweden.ORCID https://orcid.org/0000-0001-8699-9959
Uppsala University · SEUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional precision medicine (FPM) aims to optimize patient-specific drug selection based on the unique characteristics of their cancer cells. Recent advancements in high throughput

Identifiers

PMID38288374
PMCPMC10823582
OpenAlexW4391324689

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.