| Literature DB >> 31503426 |
Juanjuan Li1, Junhui Li1, Jianguo Li2, Hailan Yao3, Fang Liu4, James F Gusella5, Xiaodong Shi1, Xiaoli Chen4.
Abstract
BACKGROUND: Pediatric myelodysplastic syndromes (MDS) display clonal genomic instability that can lead to acquisition of other hematological disorders, usually by loss of heterozygosity. Immunodeficiency caused by uniparental disomy (UPD) has not previously been reported.Entities:
Keywords: zzm321990RAG1zzm321990; acquired UPD; immunodeficiency; myelodysplastic syndrome
Mesh:
Substances:
Year: 2019 PMID: 31503426 PMCID: PMC6825869 DOI: 10.1002/mgg3.923
Source DB: PubMed Journal: Mol Genet Genomic Med ISSN: 2324-9269 Impact factor: 2.183
Lymphocyte subsets in the patient’s peripheral blood samples
| Type of lymphocytes | Absolute value (×109/L) | Normal ranges (×109/L) |
|---|---|---|
| T cell/ CD3+ | 0.26 | 1.57–3.72 |
| CD4+ T cell/CD4+ | 0.1 | 0.391–1.421 |
| CD8+T cell/CD8+ | 0.08 | 0.366–1.091 |
| B cell/CD19+ | 0.0066 | 0.141–0.534 |
| NK cell/CD16+/CD56+ | 0.05 | 0.121–1.064 |
Figure 1Bone marrow aspiration smear of the patient (Wright‐Giemsa stain). Panel a shows granulocyte series hypoplasia with slightly increasing proportion of myeloblasts and neutrophilic promyelocyte and scarity of bands and segmented neutrophils. Panels b, c and d show abnormal promyelocyte with immature nuclear and aging cytoplasm (arrowhead). The promyelocyte in Panel c is binuclear (arrowhead). Bone marrow aspiration smear showed the percentages of different lineage: 2% myeloblasts, 5% promyelocytes, 6.5% myelocytes, 1.5% metamyelocytes, 0.5% bands, 1% segmented neutrophils, 47.5% lymphocytes, 0.5% normoblasts, 6% rubricytes, 22.5% metarubricytes, and 2.5% monocytes
Figure 2Immunophenotyping of patient’s bone marrow sample by flow cytometry. Panel a shows a global overview of bone marrow cellular compartments projected on SSC graphs, including lymphocyte (green, 25.0%), monocyte (purple, 15.1%), granulocyte (blue, 14.4%), eosinophil (light blue, 8.0%), blast cell or pre‐B cell (red, 4.7%) and erythroblast (gray, 32.8%). The myeloid cells had reduced CD45 and SSC expression (Panel b), and also lacked the expression of CD10, CD11b and CD16 (Panels c, d, e). The myeloid cells expressing CD13+/CD16+ showed an abnormal distribution pattern, indicating irregular myeloid differentiation (Panel e). The myeloblasts with expression of CD34 and CD117 (CD34+/CD117+) accounted for approximate 1% of all the nucleated cells observed, indicating a slight increase of the ratio (Panel f). The monocytes accounted for approximate 15.1% of all the nucleated cells indicative of an increase of the ratio and did not express significant abnormality (Panel g). The fluorochrome‐conjugated monoclonal antibodies (PerCP, FITC, PE‐Cy7, PE, APC‐Cy7 and APC) were used to stain the following antigens: HLA‐DR, CD2, CD3, CD4, CD5, CD7, CD8, CD10, CD11b, CD13, CD14, CD15, CD16, CD19, CD20, CD22, CD33, CD34, CD38, CD56, CD64, CD71, CD117, Kappa, Lambda, MPO, TdT, cCD3, cIgM and CD45
ROH regions and copy number variant (CNV) in the patient identified from SNP chip
| Chromosome abnormalities | Size (kb) | Significance |
|---|---|---|
| ROH (1p35.2‐pter) | 30,576 | These regions are associated with hematologic malignancies |
| ROH (6p22.3‐p21.2) | 20,445 | |
| ROH (11p15.3‐p11.12) | 39,506 | |
| ROH (11q11‐q24.2) | 70,522 | |
| ROH (12q14.1‐q23.1) | 38,426 | |
| ROH (3q25.2‐q27.1) | 30,577 | These regions are possibly associated with hematologic malignancies |
| ROH (7q11.21‐q31.32) | 58,588 | |
| ROH (13q33.1‐qter) | 13,391 | |
| Gain (14q32.33) | 634 | CNV polymorphism |
| ROH (1q32.1‐q32.2) | 6,655 | Significance of the variations are unknown |
| ROH (2p23.3‐p22.3) | 5,796 | |
| ROH (2p25.3‐p25.1) | 6,277 | |
| ROH (4p16.3‐p16.1) | 5,166 | |
| ROH (4q13.3‐q21.23) | 13,119 | |
| ROH (8q24.22‐q24.23) | 8,055 | |
| ROH (9p21.3‐p13.1) | 16,999 | |
| ROH (9q21.11‐q21.13) | 5,802 |
Figure 3Sequencing of RAG1 from patient's bone marrow and nail sample, his family member's samples (blood or bone marrow). The upper panel presents the targeted gene panel sequencing data for the patient’s bone marrow in the Integrative Genomics Viewer. The sequencing coverage of this allele was at 700×. The text column in red shows the homozygous mutation (c.2095C>T, p.R699W) in exon 2 of RAG1. The bottom panels show the Sanger sequencing data of this RAG1 mutation in the indicated samples from the patient and family members
Figure 4Validation of RAG1 mutation using amplicon‐based deep sequencing. Four panels present the next‐generation sequencing data of RAG1 mutation (c.2095C>T, p.R699W) from the family members. The general coverage of the amplicon‐based deep sequencing was more than 8000×. The mutation frequency of the proband's marrow, the proband's nail, father’s blood and mother's blood was 99% (coverage = 13280×), 51% (coverage = 12958×), 49% (coverage = 12363×), and 46% (coverage = 8717×), respectively. The mutations from the proband's nail, father and mother all were categorized as germline heterozygous rather than somatic/mosaics mutation according to the normal distribution curve of germline heterozygous mutations frequency (Jiang et al., 2017)