Evidence map›Paper›PMID 42681432›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Building the Toolkits to Examine the Expression and Associated Regulation of RBC Alloantigens.

Jun Liu, Xiaoyu Guan, Jue Wang, Ziyang Shen, Daniel Chang, Ling Li, Zhong Liu, Li Chai

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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

8 authors.

Jun LiuDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Xiaoyu GuanDepartment of Blood Transfusion, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, China.
Jue WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu, China.
Ziyang ShenDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Daniel ChangDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Ling LiDepartment of Blood Transfusion, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, China.
Zhong LiuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu, China.
Li ChaiDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA. lchai@bwh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Rh blood group system is the most polymorphic and clinically significant blood group system after ABO. The RhD protein, in particular, encompasses numerous conformation-dependent epitopes that can elicit alloimmune responses, leading to hemolytic disease of the fetus and newborn or hemolytic transfusion reactions. Despite this, traditional serologic methods for RhD typing lack sensitivity and specificity to detect RhD variants like partial D and DEL phenotypes. This chapter describes molecular methods to characterize RhD mRNA expression and identify transcript variants in immortalized leukemic or erythroid cell lines and primary reticulocytes. Conventional PCR and quantitative real-time PCR assays were developed using primers designed against the full-length transcripts of RhD and RhCE and known splicing isoforms of RhD. The relative abundance of RhD isoforms in K562 cells was determined from public RNA-seq databases such as Cancer Cell Line Encyclopedia to guide primer design and template input amounts. The methods detail RNA extraction, cDNA synthesis, PCR amplification, and quantitative real-time PCR quantification protocols, with representative results shown for multiple cell lines that are widely used in research settings. To enable unbiased discovery of novel RhD transcript isoforms, a Nanopore long-read cDNA sequencing approach was established. As an orthogonal method, the flow cytometry assay was optimized to detect the RhD full-length protein on the cell surface. These molecular and cellular approaches complement serologic methods and support the transition to genomics-based approaches for Rh typing. Transcriptome-level data, supported by protein-level validation, can provide insights into the regulation of RhD expression and the functional impact of variants. These protocols can be readily applied to erythroid cell lines for mechanistic studies and extended to other blood group genes.

Indexed as

ErythrocytesGene Expression RegulationIsoantigensRh-Hr Blood-Group SystemHumansK562 CellsProtein IsoformsReal-Time Polymerase Chain ReactionRNA, MessengerIsoantigensProtein IsoformsRh-Hr Blood-Group SystemRho(D) antigenRNA, MessengerFlow CytometryNanopore sequencingRh blood systemRhD variantsRT-PCR

Identifiers

What OpenQuestion holds

Textmetadata
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.