Evidence map›Paper›PMID 38456963›Full record

ArticleMolecular biotechnology2025

An Efficient Probe-Based Quantitative PCR Assay Targeting Human-Specific DNA in ST6GALNAC3 for the Quantification of Human Cells in Preclinical Animal Models.

Jinfeng Ren, Ke Liu, Lang Hu, Ruoning Yang, Yuting Liu, Siyu Wang, Xinzhu Chen, Shuli Zhao, Luyao Jing, Tiantian Liu and 4 more

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

14 authors.

Jinfeng Ren *Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Ke Liu *Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Lang Hu *Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Ruoning Yang *Jiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Yuting LiuJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Siyu WangJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Xinzhu ChenJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Shuli ZhaoGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Luyao JingJiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Tiantian LiuJiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Bin HuJiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Xuefeng ZhangJiangsu Tripod Preclinical Research Laboratories Inc, Nanjing, China.
Hui WangJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. hui.wang@xzhmu.edu.cn.
Hui LiJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. lihuishenghua@xzhmu.edu.cn.ORCID http://orcid.org/0000-0001-9645-9577

Funding

Jiangsu Training Program of Innovation and Entrepreneurship for Undergraduates 202210313005ZThe National Natural Science Foundation of China 82171791the Special Science and Technology Project on Life and Health by Nanjing Municipal Bureau of Science and Technology 202205009the Youth Innovation Team Grant and the Starting Grant by Xuzhou Medical University D2018009Three-Side Innovation Projects for Aquaculture in Jiangsu Province KYCX21_2638Vicerrectoría de Investigación y Estudios de Posgrado, Benemérita Universidad Autónoma de Puebla KYCX22_2875Xuzhou Science and Technology Program KC20089
6 · The paper itself

Abstract

Precise quantification of human cells in preclinical animal models by a sensitive and specific approach is warranted. The probe-based quantitative PCR (qPCR) assay as a sensitive and swift approach is suitable for the quantification of human cells by targeting human-specific DNA sequences. In this study, we developed an efficient qPCR assay targeting human-specific DNA in ST6GALNAC3 (termed ST6GAL-qPCR) for the quantification of human cells in preclinical animal models. ST6GAL-qPCR probe was synthesized with FAM and non-fluorescent quencher-minor groove binder conjugated to the 5' and 3' end of the probe, respectively. Genomic DNA from human, rhesus monkeys, cynomolgus monkeys, New Zealand White rabbits, SD rats, C57BL/6, and BALB/c mice were utilized for analyzing the specificity and sensitivity of the ST6GAL-qPCR assay. The ST6GAL-qPCR assay targeted human-specific DNA was cloned to pUCM-T vector and released by EcoR I/Hind III digestion for generating a calibration curve. Cell mixing experiment was performed to validate the ST6GAL-qPCR assay by analysis of 0.1%, 0.01%, and 0.001% of human leukocytes mixed with murine thymocytes. The ST6GAL-qPCR assay detected human DNA rather than DNA from the tested animal species. The amplification efficiency of the ST6GAL-qPCR assay was 93% and the linearity of calibration curve was R

Indexed as

DNADNA ProbesReal-Time Polymerase Chain ReactionAnimalsHumansMacaca fascicularisMacaca mulattaMiceMice, Inbred BALB CMice, Inbred C57BLModels, AnimalRabbitsRatsRats, Sprague-DawleySensitivity and SpecificityDNADNA ProbesPreclinical animal modelsQuantitative PCRST6GALNAC3

Identifiers

PMID38456963

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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.