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Biology subjects

Sheehan, V. A.

Publications and source records attributed to Sheehan, V. A..

4 recordsLinked to original sources

Combinatorial base editing couples disease correction with lineage amplification in hematopoietic stem and progenitor cells

First-generation genome editing therapies have largely focused on correcting or compensating for pathogenic variants. However, as these approaches enter the clinic, emerging biological constraints limit maximal therapeutic impact. Because globin genes are activated late during erythroid differentiation, genome-corrected hematopoietic stem and progenitor cells (HSPCs) gain little selective advantage in the bone marrow. Here, we establish a strategy that links therapeutic genome edits to an erythroid fitness-enhancing allele to amplify the output of clinically relevant cells. We develop a multiplex base editing strategy that couples fetal hemoglobin (HbF) reactivation with erythroid lineage expansion. Introduction of a naturally occurring erythropoietin receptor truncation (tEPOR) associated with benign erythrocytosis increased erythroid cell production without impairing viability or differentiation. Combinatorial editing of tEPOR together with the BCL11A erythroid enhancer and HBG1/2 promoters in healthy donor, sickle cell disease, and {beta}-thalassemia HSPCs synergistically increased erythroid proliferation and HbF expression beyond single base-edited or Casgevy-treated controls. Multiplex base-edited HSPCs retained long-term lineage repopulation and engraftment capacity in vivo, establishing a modular strategy that pairs disease correction with lineage amplification to improve therapeutic potency.

cell biology↗

Using human genetics to develop strategies to increase erythropoietic output from genome-edited hematopoietic stem and progenitor cells

Human genetic polymorphisms result in a diversity of phenotypes. Some sequences are pathologic and lead to monogenic diseases, while others may confer beneficial traits. Genome editing is a powerful tool to recreate genotypes found in the population, including the ability to correct pathologic mutations. One of the best characterized naturally occurring mutations causing congenital erythrocytosis arises from a truncation in the erythropoietin receptor (tEPOR) which can result in non-pathogenic hyper-production of red blood cells (RBCs). Using the precision of CRISPR/Cas9 genome editing, we have recreated tEPOR and studied the effect of variations of the genotype on RBC development. We then combined tEPOR with a correction strategy developed for {beta}-thalassemia and demonstrated that coupling the two genome editing events gave RBCs a significant selective advantage. This demonstrates the potential of combining human genetics with the precision of genome editing to enable safer and more effective genome editing therapies for patients with serious genetic diseases.

genetics↗

Gene replacement of α-globin with β-globin restores hemoglobin balance in β-thalassemia-derived hematopoietic stem and progenitor cells

{beta}-thalassemia pathology is not only due to loss of {beta}-globin (HBB), but also erythrotoxic accumulation and aggregation of the {beta}-globin binding partner, -globin (HBA1/2). Here we describe a Cas9/AAV6-mediated genome editing strategy that can replace the entire HBA1 gene with a full-length HBB transgene in {beta}-thalassemia-derived hematopoietic stem and progenitor cells (HSPCs), which is sufficient to normalize {beta}-globin:-globin mRNA and protein ratios and restore functional adult hemoglobin tetramers in patient-derived red blood cells. Edited HSPCs were capable of long-term and bi-lineage hematopoietic reconstitution in mice, establishing proof-of-concept for replacement of HBA1 with HBB as a novel therapeutic strategy for curing {beta}-thalassemia.

molecular biology↗

A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT

Next-generation DNA sequencing is currently limited by an inability to count the number of input DNA molecules. Molecular counting is particularly needed when accurate quantification is required for diagnostic purposes, such as in single-gene non-invasive prenatal testing (sgNIPT) and liquid biopsy. We developed Quantitative Counting Template (QCT) molecular counting for reconstructing the number of input DNA molecules using sequencing data. We then used QCT molecular counting to develop sgNIPT of sickle cell disease, cystic fibrosis, spinal muscular atrophy, alpha-thalassemia, and beta-thalassemia. Incorporating molecular count information into a statistical model of disease likelihood led to analytical sensitivity and specificity of >98% and >99%, respectively. Validation of sgNIPT was further performed with maternal blood samples collected during pregnancy, and sgNIPT was 100% concordant with newborn follow-up.

genetics↗