TO THE EDITOR:
Around birth, red blood cell (RBC) β-like globin gene expression shifts from γ-globin (HBG1 and HBG2, hereafter HBG) to adjacent β-globin (HBB), resulting in a switch from fetal hemoglobin (HbF, α2γ2) to adult hemoglobin (HbA, α2β2). Consequently, anemias caused by mutations in HBB, such as sickle cell disease (SCD) and β-thalassemia, become symptomatic postnatally. In hereditary persistence of fetal hemoglobin (HPFH), rare genetic variants in the β-like globin gene cluster lead to high levels of postnatal HBG expression and HbF that can reduce or eliminate the pathologies of coinherited β-hemoglobinopathies.1,2 Several promising therapeutic strategies use genome engineering to create HPFH-like mutations in hematopoietic stem cells of patients with SCD or β-thalassemia, thereby reactivating HbF in RBC progeny.3 The efficacy of such therapies depends on the proportion of individual RBCs expressing therapeutic levels of HbF.4
Some forms of HPFH are caused by kilobase-scale deletions downstream of HBG2 (Gγ-globin) and often include HBG1 (Aγ-globin), HBD (δ-globin) and HBB (Figure 1A).3 Similar but distinct deletions cause related conditions termed Aγδβ-thalassemia or δβ-thalassemia, which are associated with mild microcytic, hypochromic anemia, elevated HbF, and partial amelioration of β-hemoglobinopathies. Seemingly subtle differences in HbF induction caused by different deletions can produce different clinical consequences. For example, individuals with compound heterozygosity for the 85 kb “Black HPFH1” deletion (HPFH1) and the sickle hemoglobin (HbS) allele have RBC HbF levels of 28.7% to 36.0% (average 32.6%) and are usually asymptomatic.5 In contrast, individuals with HbS and the 35.8 kb “Black (Aγδβ)0-thalassemia” deletion (Aγδβ-thal) express 21.8% to 34.0% HbF (average 26.6%) and experience clinical symptoms, typically on the milder end of the disease spectrum.6 RBCs from individuals with HbS/HPFH1 or HbS/Aγδβ-thal are reported to express HbF in a homogeneous (ie, pancellular) pattern, according to immunostaining with anti-HbF antibody (F-cells),5,6 a sensitive but nonquantitative assay. We performed single-cell RNA sequencing (scRNA-seq) of reticulocytes to better define and compare the patterns of γ-globin gene expression in individuals with HbS/HPFH1 or HbS/Aγδβ-thal.
Figure 1.
γ-Globin expression is more heterogeneous in primary reticulocytes from HbS/Aγδβ-thal than HbS/HPFH1. (A) Genomic map representing the extended β-globin locus and the regions deleted in HPFH1 and Aγδβ-thal. (B) Blood hemoglobin levels, (C) % reticulocytes, (D) absolute reticulocyte counts, (E) HbF levels in RBC lysates, determined by ion exchange high-performance liquid chromatography, and (F) mean corpuscular volume determined at the time of whole blood collection for scRNA-seq analysis. (G) F-cell plots from each participant with the indicated F-cell-positive fraction. (H) scRNA-seq analysis of reticulocytes. The x-axis shows log-normalized HBG (HBG1 + HBG2) expression in individual reticulocytes from each participant. Histograms show the distribution of expression levels, with the mean (μ), standard deviation (σ), and percentage of reticulocytes expressing HBG above a normalized value of 1 indicated. A vertical dashed line marks this threshold. (I) Distribution of %HBG expression (HBG/[HBG+HBB]) in samples from panel H. (J) Analysis of reticulocyte scRNA-seq showing HBG expression in individuals with the indicated genotypes. Box and whisker plots show minimum, maximum, median, and interquartile ranges. Violin plots show the distribution of individual data points. Kruskal-Wallis with Dunn’s multiple-comparison test, ∗∗∗∗P < .0001. (K) Scatterplot analysis of scRNA-seq showing HBB (y-axis) and HBG (x-axis) read counts in reticulocytes from each participant with HbS/Aγδβ-thal or pooled participants with HbS/HPFH1.1 to 3. Symbol colors are based on the %HBG heat map. Dashed line represents 50% HBG. APC, allophycocyanin; MCV, mean corpuscular volume; SSC-A, side scatter area.
We studied 3 siblings with HbS/HPFH1 and 2 unrelated individuals with HbS/Aγδβ-thal (Table 1). Individuals with HbS/HPFH1 experienced no SCD symptoms. Their hemoglobin and reticulocyte levels were normal. Participant HbS/Aγδβ-thal.1 had mild anemia (average Hb 11.4 g/dL) and experienced multiple episodes of acute chest syndrome and vaso-occlusive pain. Hydroxyurea therapy was initiated but adherence was low and there was no hematological or clinical response. Participant HbS/Aγδβ-thal.2 was hospitalized once for acute chest syndrome but had no history of pain episodes. During well clinic visits, sickle-shaped RBCs were observed intermittently on blood smears from both individuals with HbS/Aγδβ-thal but not from those with HbS/HPFH1. After age 3 years, HbF levels averaged 40.54 ± 1.56% and 27.98 ± 2.10% for individuals with HbS/HPFH1 and HbS/Aγδβ-thal, respectively. F-cell fractions determined in a commercial laboratory for individuals HbS/Aγδβ-thal.1 and HbS/Aγδβ-thal.2 were 86.2% and 90.5%, respectively.
Table 1.
Clinical characteristics of participants with HbS/Aγδβ-thal or HbS/HPFH1
| Characteristics | HbS/Aγδβ-thal.1 | HbS/Aγδβ-thal.2 | HbS/HPFH1.1 | HbS/HPFH1.2 | HbS/HPFH1.3 |
|---|---|---|---|---|---|
| Age at last visit, y | 15 | 11 | 7 | 15 | 9 |
| Gender | M | F | F | M | F |
| α-Thalassemia status | −α3.7α+/α+α+ | α+α+/α+α+ | α+α+/α+α+ | α+α+/α+α+ | α+α+/α+α+ |
| Hemoglobin, g/dL | 11.4 (1.0); n = 16 | 10.7 (0.4); n = 22 | 13.3 (0.7); n = 4 | 13.3 (0.3); n = 10 | 12.6 (0.7); n = 6 |
| MCV, fL | 74.9 (2.6); n = 16 | 67.7 (1.2); n = 22 | 74.1 (1.01); n = 4 | 74.7 (2.2); n = 10 | 70.3 (1.4); n = 6 |
| MCHC, g/dL | 34.3 (1.03); n = 16 | 34 (0.7); n = 22 | 34.9 (0.4); n = 4 | 35.2 (1.0); n = 10 | 34.3 (0.9); n = 6 |
| ARC, × 106/mm3 | 0.134 (0.02); n = 13 | 0.105 (0.01); n = 14 | 0.069 (0.01); n = 4 | 0.07 (0.01); n = 5 | 0.10 (0.01); n = 6 |
| HbF percentage | 28.6 (1.4) | 25.4 (1.8) | 40.5 (0.3) | 41.2 (2.0) | 39.9 (1.7) |
| F cell percentage | 86.2%; n = 2 | 90.5%; n = 1 | Not done | Not done | Not done |
| Sickled RBCs on blood smear | Yes, on some well clinic visits | Yes, on some well clinic visits | No | No | No |
| Total bilirubin, mg% | 1.5 (0.7); n = 14 | 0.7 (0.1); n = 14 | 0.2 (0.06); n = 3 | 0.3 (0.05); n = 9 | 0.23 (0.05); n = 4 |
| Hydroxyurea therapy | Started at age 14 years; low adherence | No | No | No | No |
| Transcranial doppler ultrasound velocity | Normal | Normal | Not done | Not done | Not done |
| Acute chest syndrome | 3 | 1 | 0 | 0 | 0 |
| Vaso-occlusive crisis | 14 | 0 | 0 | 0 | 0 |
| Blood transfusions | None | None | None | None | None |
Laboratory values are reported as mean (standard deviation). The number of values (n) obtained from well visits from age 3 years, to the last follow-up visit is shown. Vaso-occlusive crisis refers to acute pain episodes requiring hospitalization. α-Thalassemia status α3.7 indicates a single deletion of 3.7 kb in the HBA locus. HbS/HPFH1.1-3 are full siblings.
ARC, absolute reticulocyte count; F, female; M, male; MCV, mean corpuscular volume; MCHC, mean corpuscular hemoglobin concentration.
At the time of blood collection for scRNA-seq, hemoglobin levels were normal for all 3 HbS/HPFH1 participants and participant HbS/Aγδβ-thal.1, and mildly reduced for participant HbS/Aγδβ-thal.2 (10.5 g/dL) (Figure 1B). The reticulocyte count was mildly elevated in participant HbS/Aγδβ-thal.1 (3.27%; 0.17 × 106/mm3) and normal in all others (Figure 1C-D). HbF levels in hemolysates were 25.4% for participant HbS/Aγδβ-thal.1, 19.4% for participant HbS/Aγδβ-thal.2, and 35.0 ± 1.1% for HbS/HPFH1 participants 1 to 3 (Figure 1E). Mean corpuscular volume was mildly reduced for participant HbS/Aγδβ-thal.2 (Figure 1F). RBC F-cell fractions were 93.4% for participant HbS/Aγδβ-thal.1, 77.9% for HbS/Aγδβ-thal.2, and 99 ± 0.36% for participants HbS/HPFH1.1 to 3 (Figure 1G).
Reticulocytes were purified by fluorescence-activated cell sorting (supplemental Figure 1), and scRNA-seq was performed on at least 1000 reticulocytes from each individual. We classified transcripts mapping to HBG1 or HBG2 as HBG, and those mapping to HBA1 or HBA2 as HBA. We observed distinct distributions of HBG expression in individual reticulocytes from the 2 patients with HbS/Aγδβ-thal compared with those with HbS/HPFH1 (Figure 1H-K). Specifically, HbS/HPFH1 reticulocytes exhibited relatively high HBG levels in a narrow range, whereas HBG expression was more variable in HbS/Aγδβ-thal reticulocytes, with more cells expressing low or no HBG messenger RNA. During progressive hypoxia in a microfluidic platform,7 individual RBCs from participants with HbS/Aγδβ-thal sickled more readily than those from individuals HbS/HPFH1.1 to 3 (supplemental Figure 2A-C).7 In addition, incubation in 2% oxygen caused extensive sickling of RBCs from individuals with HbS/Aγδβ-thal, whereas RBCs from individuals with HbS/HPFH1 were relatively resistant to the same treatment (supplemental Figure 2D-E).
We also observed differences between the 2 individuals with HbS/Aγδβ-thal (Table 1). Presence of the α3.7 deletion may contribute to the higher hemoglobin level observed in participant HbS/Aγδβ-thal.1.8 Despite having slightly higher levels of F-cells and HBG expression, this individual exhibited more episodes of pain and acute chest syndrome than participant HbS/Aγδβ-thal.2. These findings reflect the heterogeneity of SCD, which is influenced by many genetic, social, and environmental factors in addition to HbF levels.9, 10, 11, 12
At least 1 γ-globin gene and its promoter remain intact in deletional HPFH, δβ-thal, or Aγδβ-thal. In these cases, induction of γ-globin is thought to occur through loss of repressive regulatory elements, juxtaposition of distal enhancers, and/or deletion of the HBB promoter, which competes with HBG genes for interaction with the locus control region, a powerful upstream enhancer (supplemental Figure 3).13, 14, 15, 16, 17 Most likely, distinct combinations of regulatory perturbations account for differences in the patterns of γ-globin gene activation in HPFH1 vs Aγδβ-thal. The large differences in γ-globin expression between genetically identical erythroid cells in Aγδβ-thal represents position-effect variegation, which causes mosaic phenotypes by repositioning normally expressed euchromatic genes near a region of heterochromatin.17,18 The genetic alterations responsible for position effect variegation in Aγδβ-thal may involve loss or rearrangement of chromosomal boundary regions that prevent spread of heterochromatin into actively transcribed DNA.19
Overall, our data support the concept that the proportion of erythroid cells with sufficient levels of HbF to inhibit HbS polymerization is more important for alleviating SCD than the F-cell percentage or the concentration of HbF in the hemolysate.20 The heterogeneity of HBG expression in HbS/Aγδβ-thal indicates that a substantial proportion of F-cells detected by immunostaining express subtherapeutic levels of HbF. In contrast, HbS/HPFH1 F-cells express high-level HBG more homogeneously. This important difference cannot be fully appreciated by F-cell determination, which is highly sensitive but has a limited dynamic range for detecting clinically meaningful differences in HBG expression. Our study is limited by the small number of patients examined. Therefore, future studies are required to confirm our findings in individuals with HbS/Aγδβ-thal or HbS/HPFH1. In addition, scRNA-seq analysis of reticulocytes may be useful for analyzing the effects of genome engineering strategies or drugs to induce HbF in patients with β-hemoglobinopathies. It will also be useful to correlate reticulocyte scRNA-seq analysis with experimental protocols for accurate quantification of HbF protein expression in individual mature RBCs.21
Conflict-of-interest disclosure: M.J.W. is a consultant for Fulcrum Therapeutics and an equity owner of Cellarity. J.S.H. receives royalties from UpToDate. The remaining authors declare no competing financial interests.
Acknowledgments
Acknowledgments: The authors thank the participants and staff contributing to Sickle Cell Clinical Research and Intervention Program (SCCRIP) at St. Jude Children’s Research Hospital, and the St. Jude Children’s Research Hospital Hartwell Center for Biotechnology.
St. Jude Children’s Research Hospital core facilities are supported by the National Institutes of Health (NIH) award P30 CA21765 and by American Lebanese Syrian Associated Charities (ALSAC). This work was supported by NIH grants K01 DK132453 (P.A.D.), R01 HL132906 (D.K.W.), R01 HL177019 (D.K.W.), U01 HL163983 (M.J.W.), R01 HL156647 (M.J.W.), the Assisi Foundation grant 94-000 R25 (M.J.W.), the Gates Foundation grant 60005015-5500002819 (M.J.W.) and the St. Jude Children’s Research Hospital Sickle Cell Collaborative Research Consortium (M.J.W.), Government of India DBT Ramalingaswami Re-entry Fellowship (T.M.), ALSAC, and the Versiti Blood Research Institute Foundation (VBRIF; P.A.D.).
The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, Government of India, Assisi Foundation, Gates Foundation, St. Jude/ALSAC, or the VBRIF. The funders had no role in the study design, the data collection and analysis, the decision to publish the work, or the preparation of the manuscript.
Contribution: P.A.D., Y.L., Y.C., and M.J.W. conceived the project and designed and interpreted the experiments; P.A.D., Y.Y., R.F., T.M., and J.Z. performed experiments; Y.L. and Y.C. analyzed single-cell RNA sequencing data; E.K. and D.L.C. performed cell sorting; D.C.W. and D.K.W performed and analyzed red blood cell deformability and saturation measurements; R.J. and J.S.H. oversaw and collected participant clinical data; P.A.D. and M.J.W. wrote the manuscript; and all authors contributed to the final version of the manuscript.
Footnotes
P.A.D. and Y.L. contributed equally to this study.
Single-cell RNA sequencing data have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus database under accession number GSE280004.
The full-text version of this article contains a data supplement.
Contributor Information
Phillip A. Doerfler, Email: pdoerfler@versiti.org.
Mitchell J. Weiss, Email: mitch.weiss@stjude.org.
Supplementary Material
References
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