Evidence map›Paper›PMID 39676957›Full record

ArticleACS omega2024

Lyophilized T Cell Reference Materials with Quantified Proportions of Subtypes.

Yinbo Huo, Jiaqi Yang, Yanli Wen, Wen Liang, Qing Tao, Juan Yan, Hui Xu, Lanying Li, Yan Li, Li Xu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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

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

13 authors.

Yinbo HuoKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Jiaqi YangCollege of Food Science & Technology Shanghai Ocean University, Shanghai 201306, China.
Yanli WenKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Wen LiangKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Qing TaoKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Juan YanCollege of Food Science & Technology Shanghai Ocean University, Shanghai 201306, China.ORCID https://orcid.org/0000-0003-4529-2046
Hui XuSchool of Intelligent Manufacturing, Huzhou College, Huzhou 313000, China.
Lanying LiKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Yan LiKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Li XuKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Min DingKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Feiyan GongKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.
Gang LiuKey Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China.ORCID https://orcid.org/0000-0003-3779-7212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate quantification of T cell subtypes and their proportions is of great significance in cell-based biomanufacturing, diagnosis, and advanced therapy. The development and application of a cell reference material (RM) provide a solid foundation for reliable and consistent T cell quantification worldwide. However, creating a cell RM that is both accurate and practical remains a challenge. In this study, we have developed a series of T cell RMs with a certified subtype proportion based on traceable accurate quantification and stable long-term preservation. We developed a quantitative flow cytometry method for the ratio of T cell subtypes with improved accuracy by using the calibration of certified reference materials of polystyrene beads. The relative standard deviation (RSD) for the quantification of CD3

Identifiers

PMID39676957
PMCPMC11635674

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.