Evidence map›Paper›PMID 38016067›Full record

ArticleAnalytical chemistry2023

Measuring Drug Response with Single-Cell Growth Rate Quantification.

Fiona Xi Xu, Ruibing Wu, Kailun Hu, Dan Fu

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Multilevel Mechanisms of Cancer Drug Resistance.International journal of molecular sciences · 2024
    Pooled it
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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

4 authors at 1 institution in 1 country.

Fiona Xi XuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-6832-5149
Ruibing WuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0009-0009-5985-7168
Kailun HuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Dan FuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-9243-8306
University of Washington · US

Funding

Non-perturbative imaging of intracellular drug exposure and drug response of kinase inhibitors - Admin SuppR35GM133435 · NIGMS · UNIVERSITY OF WASHINGTON · PI Dan Fu · 2019 to 2026
$2.8M
NIGMS NIH HHS R35 GM133435
6 · The paper itself

Abstract

Intratumoral heterogeneity is a substantial cause of drug resistance development during chemotherapy or other drug treatments for cancer. Therefore, monitoring and measuring cell exposure and response to drugs at the single-cell level are crucial. Previous research suggested that the single-cell growth rate can be used to investigate drug-cell interactions. However, currently established methods for quantifying single-cell growth are limited to isolated or monolayer cells. Here, we introduce a technique that accurately measures both 2D and 3D cell growth rates using label-free ratiometric stimulated Raman scattering (SRS) microscopy. We use deuterated amino acids, leucine, isoleucine, and valine, as tracers and measure the C-D SRS signal from deuterium-labeled proteins and the C-H SRS signal from unlabeled proteins simultaneously to determine the cell growth rate at the single-cell level. The technique offers single-cell level drug sensitivity measurement with a shorter turnaround time (within 12 h) than most traditional assays. The submicrometer resolution of the imaging technique allows us to examine the effects of chemotherapeutic drugs, including kinase inhibitors, mitotic inhibitors, and topoisomerase II inhibitors, on both the cell growth rate and morphology. The capability of quantifying 3D cell growth rates provides insight into a deeper understanding of the cell-drug interaction in the actual tumor environment.

Indexed as

MicroscopyProteinsAmino AcidsCell ProliferationSpectrum Analysis, RamanAmino AcidsProteins

Identifiers

PMID38016067
PMCPMC11016461
OpenAlexW4389076976

What OpenQuestion holds

Textmetadata
LicenceTDM
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.