Literature DB >> 32741734

Using droplet digital PCR to screen for rare blood donors: Proof of principle.

Marcia Regina Dezan1, Ana Claudia Peron2, Théo Gremen Mimary Oliveira1, Valéria Brito Oliveira1, Carolina Nunes Gomes1, Nanci A Salles1, Vanderson Rocha3, Alfredo Mendrone-Júnior1, Carla Luana Dinardo4.   

Abstract

BACKGROUND: Digital droplet PCR (ddPCR) is a very sensitive high throughput genotyping methodology. To date, the use of ddPCR in immunohematology is restricted to fetal genotyping of red blood cell antigens. Our hypothesis is that this technology could be applied to screen for rare red blood cell genotypes, such as Di(b-).
METHODS: Nucleic acid of 3168 donors was extracted for viral screening routine in pools of 6, which were converted into three types of 48-donor pools: control pools (only DI*B/*B samples), pools with varying amount of DI*A/*B samples (n = 1-5) and a pool with one rare DI*A/*A sample. Pools were genotyped using ddPCR to detect and quantify DI*A and DI*B alleles.
RESULTS: DI*A allele was accurately detected in all pools containing Di(a + b+) samples and in the pool containing one Di(a + b-) sample. No copies were detected in the control pools (n = 60). The ratio between the number of DI*A and DI*B copies varied significantly between the pools and the triplicates.
CONCLUSION: The proposed ddPCR assay was accurate in identifying the rare DI*A allele in large pools of donors and can be applied to screen for Di(b-) phenotype. The strategy can potentially be extended to search for other rare RBC phenotypes.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diego; Digital PCR; Rare blood donors; ddPCR

Mesh:

Year:  2020        PMID: 32741734     DOI: 10.1016/j.transci.2020.102882

Source DB:  PubMed          Journal:  Transfus Apher Sci        ISSN: 1473-0502            Impact factor:   1.764


  1 in total

1.  SLC44A2 Frequency, a New TaqMan Real-Time Polymerase Chain Reaction Method for HNA-3A/3B Genotyping, and a New Application of Droplet Digital PCR.

Authors:  Yufeng Wang; Xihui Chen; Qi Chen; Tangdong Chen; Kun Chen; Yuanming Wu; Li Wang
Journal:  Front Genet       Date:  2022-05-12       Impact factor: 4.772

  1 in total

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