Evidence map›Paper›PMID 34209893›Full record

ArticleCells2021

Label-Free and Quantitative Dry Mass Monitoring for Single Cells during In Situ Culture.

Ya Su, Rongxin Fu, Wenli Du, Han Yang, Li Ma, Xianbo Luo, Ruliang Wang, Xue Lin, Xiangyu Jin, Xiaohui Shan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Biomass measurements of single neuritesBiomedical optics express · 2022
    Article
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 1 institution in 1 country.

Ya SuDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Rongxin FuDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-4547-2269
Wenli DuDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Han YangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Li MaDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Xianbo LuoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Ruliang WangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Xue LinDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Xiangyu JinDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Xiaohui ShanDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Wenqi LvDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Guoliang HuangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

China Postdoctoral Science Foundation 2020M680591National Natural Science Foundation of China 61927819, 81827808 and 81327005Shuimu Tsinghua Scholar Program 2019SM150the Beijing Lab Foundation BJLAB-2019the National Key R&D Program of China 2018YFA0704004Tsinghua Autonomous Research Foundation 2018Z05JZY013, 20194180031 and 20201080058Tsinghua University Spring Breeze Fund 2020Z99CFG011
6 · The paper itself

Abstract

Quantitative measurement of single cells can provide in-depth information about cell morphology and metabolism. However, current live-cell imaging techniques have a lack of quantitative detection ability. Herein, we proposed a label-free and quantitative multichannel wide-field interferometric imaging (MWII) technique with femtogram dry mass sensitivity to monitor single-cell metabolism long-term in situ culture. We demonstrated that MWII could reveal the intrinsic status of cells despite fluctuating culture conditions with 3.48 nm optical path difference sensitivity, 0.97 fg dry mass sensitivity and 2.4% average maximum relative change (maximum change/average) in dry mass. Utilizing the MWII system, different intrinsic cell growth characteristics of dry mass between HeLa cells and Human Cervical Epithelial Cells (HCerEpiC) were studied. The dry mass of HeLa cells consistently increased before the M phase, whereas that of HCerEpiC increased and then decreased. The maximum growth rate of HeLa cells was 11.7% higher than that of HCerEpiC. Furthermore, HeLa cells were treated with Gemcitabine to reveal the relationship between single-cell heterogeneity and chemotherapeutic efficacy. The results show that cells with higher nuclear dry mass and nuclear density standard deviations were more likely to survive the chemotherapy. In conclusion, MWII was presented as a technique for single-cell dry mass quantitative measurement, which had significant potential applications for cell growth dynamics research, cell subtype analysis, cell health characterization, medication guidance and adjuvant drug development.

Indexed as

Cell Culture TechniquesSingle-Cell AnalysisStaining and LabelingAntineoplastic AgentsCell ProliferationHeLa CellsHumansImaging, Three-DimensionalInterferometryAntineoplastic Agentsdry mass measurementlabel-free imaginglong-term cell monitoringquantitive interferometry

Identifiers

PMID34209893
PMCPMC8303735
OpenAlexW3175685670

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.