Evidence map›Paper›PMID 38712225›Full record

ArticlebioRxiv : the preprint server for biology2024

Measuring single-cell density with high throughput enables 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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, 500 Main St building 76, Cambridge, MA 02139, USA.ORCID 0009-0002-1551-6993
Sarah H IshamuddinKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main St building 76, Cambridge, MA 02139, USA.
Thomas W QuinnCenter for Patient-Derived Models, Dana-Farber Cancer Institute, 21 Burlington Ave, Boston, MA 02215, USA.
Smitha YerrumCenter for Patient-Derived Models, Dana-Farber Cancer Institute, 21 Burlington Ave, Boston, MA 02215, USA.
Ye ZhangKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main St building 76, Cambridge, MA 02139, USA.ORCID 0000-0003-3057-6759
Lydie L DebaizeDepartment of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA.ORCID 0000-0003-3718-3210
Pei-Lun KaoCenter for Patient-Derived Models, Dana-Farber Cancer Institute, 21 Burlington Ave, Boston, MA 02215, USA.
Sarah Marie DuquetteKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main St building 76, Cambridge, MA 02139, USA.
Mark A MurakamiDepartment of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA.
Morvarid MohseniOncology Discovery, Bristol-Myers Squibb, 250 Water St, Cambridge, MA 02141, USA.ORCID 0000-0002-0964-924X
Kin-Hoe ChowCenter for Patient-Derived Models, Dana-Farber Cancer Institute, 21 Burlington Ave, Boston, MA 02215, USA.
Teemu P MiettinenKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main St building 76, Cambridge, MA 02139, USA.ORCID 0000-0002-5975-200X
Keith L LigonCenter for Patient-Derived Models, Dana-Farber Cancer Institute, 21 Burlington Ave, Boston, MA 02215, USA.ORCID 0000-0002-7733-600X
Scott R ManalisKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main St building 76, Cambridge, MA 02139, USA.ORCID 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 therefore 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 with a precision of 0.03% (0.0003 g/mL) by integrating fluorescence exclusion microscopy with a suspended microchannel resonator. Applying this approach to human lymphocytes, we discovered that cell density and its variation decrease as cells transition from quiescence to a proliferative state, suggesting that the level of molecular crowding decreases and becomes more regulated upon entry into the cell cycle. Using a pancreatic cancer patient-derived xenograft model, we found that the

Identifiers

PMID38712225
PMCPMC11071500

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.