Evidence map›Paper›PMID 40394221›Full record

ArticleNature biomedical engineering2025

High-throughput single-cell density measurements enable dynamic profiling of immune cell and drug response from patient samples.

Weida Wu, Sarah H Ishamuddin, Thomas W Quinn, Smitha Yerrum, Ye Zhang, Lydie L Debaize, Pei-Lun Kao, Sarah Marie Duquette, Mark A Murakami, Morvarid Mohseni and 4 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Weida WuKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0009-0002-1551-6993
Sarah H IshamuddinKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Thomas W QuinnCenter for Patient-Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0007-8368-5373
Smitha YerrumCenter for Patient-Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA.
Ye ZhangKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3057-6759
Lydie L DebaizeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Pei-Lun KaoCenter for Patient-Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA.
Sarah Marie DuquetteKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mark A MurakamiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9520-2876
Morvarid MohseniBristol Myers Squibb, Cambridge, MA, USA.
Kin-Hoe ChowCenter for Patient-Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA.
Teemu P MiettinenKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5975-200X
Keith L LigonCenter for Patient-Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA. keith_ligon@dfci.harvard.edu.ORCID http://orcid.org/0000-0002-7733-600X
Scott R ManalisKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. srm@mit.edu.ORCID http://orcid.org/0000-0001-5223-9433

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
NCI NIH HHS P30 CA014051
6 · The paper itself

Abstract

Cell density, the ratio of cell mass to volume, is an indicator of molecular crowding and a fundamental determinant of cell state and function. However, existing density measurements lack the precision or throughput to quantify subtle differences in cell states, particularly in primary samples. Here we present an approach for measuring the density of 30,000 single cells per hour by integrating fluorescence exclusion microscopy with a suspended microchannel resonator. This approach achieves a precision of 0.03% (0.0003 g ml

Indexed as

High-Throughput Screening AssaysSingle-Cell AnalysisAnimalsAntineoplastic AgentsCell CountCell Line, TumorCell ProliferationHumansLymphocytesMicePancreatic NeoplasmsXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID40394221
PMCPMC12831181

What OpenQuestion holds

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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.