Evidence map›Paper›PMID 36879008›Full record

ArticleNature biotechnology2023

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE.

Milad R Vahid, Erin L Brown, Chloé B Steen, Wubing Zhang, Hyun Soo Jeon, Minji Kang, Andrew J Gentles, Aaron M Newman

Abstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing 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

125 citing papers in PubMed.

  1. Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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65 more citing papers are in PubMed but not listed here.

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

8 authors.

Milad R Vahid *Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Erin L Brown *Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0004-3487
Chloé B Steen *Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7290-7128
Wubing ZhangInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Hyun Soo JeonDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID 0000-0001-8388-2480
Minji KangInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0009-4249
Andrew J GentlesDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0941-9858
Aaron M NewmanInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA. amnewman@stanford.edu.ORCID 0000-0002-1857-8172

Funding

Delineating developmental programs driving tumorigenesis in triple-negative breast cancerR01CA255450 · NCI · STANFORD UNIVERSITY · PI NEWMAN, AARON M · 2021 to 2025
$2.5M
Ultrasensitive Quantitation of Circulating Tumor DNAR00CA187192 · NCI · STANFORD UNIVERSITY · PI NEWMAN, AARON M · 2017 to 2019
$747k
The prognostic landscape of gender- and ethnicity-specific immune influences on cancer outcomesR21CA238971 · NCI · STANFORD UNIVERSITY · PI GENTLES, ANDREW J. · 2019 to 2020
$374k
NCI NIH HHS R00 CA187192NCI NIH HHS R01 CA255450NCI NIH HHS R21 CA238971
6 · The paper itself

Abstract

Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, an optimization method for mapping individual cells from a single-cell RNA sequencing atlas to spatial expression profiles. Across diverse platforms and tissue types, we show that CytoSPACE outperforms previous methods with respect to noise tolerance and accuracy, enabling tissue cartography at single-cell resolution.

Indexed as

Gene Expression ProfilingTranscriptomeImmune ToleranceSingle-Cell Analysis

Identifiers

PMID36879008
PMCPMC10635828

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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.