bioRxiv ScienceSearch

Biology subjects

Kim, S.-C.

Publications and source records attributed to Kim, S.-C..

3 recordsLinked to original sources

Therapeutic base and prime editing of COL7A1 mutations in recessive dystrophic epidermolysis bullosa

Recessive dystrophic epidermolysis bullosa (RDEB) is a severe skin fragility disorder caused by loss-of-function mutations in the COL7A1 gene, which encodes type VII collagen (C7), a protein that functions in skin adherence. From 36 Korean RDEB patients, we identified a total of 69 pathogenic mutations (40 variants without recurrence), including point mutations (72.5%) and insertion/deletion mutations (27.5%). We used base and prime editing to correct mutations in fibroblasts from two patients (Pat1, who carried a c.3631C>T mutation in one allele, and Pat2, who carried a c.2005C>T mutation in one allele). We applied adenine base editors (ABEs) to correct the pathogenic mutation or to bypass a premature stop codon in Pat1-derived primary fibroblasts. To expand the targeting scope, we also utilized prime editors (PEs) to correct the mutations in Pat1- and Pat2-derived fibroblasts. Ultimately, we found that both ABE- and PE-mediated correction of COL7A1 mutations restored full-length C7 expression, reversed the impaired adhesion and proliferation exhibited by the patient-derived fibroblasts, and, following transfer of edited patient-derived fibroblasts into the skin of immunodeficient mice, led to C7 deposition within the dermal-epidermal junction. These results suggest that base and prime editing could be feasible strategies for ex vivo gene editing to treat RDEB.

bioengineering

Correlated Drug Action as a Baseline Additivity Model for Combination Cancer Therapy in Patient Cohorts and Cell Cultures

Identifying and characterizing the effect of combination therapies is of paramount importance in various diseases, including cancer. Various competing null models have been proposed to serve as baselines against which to compare the effect of drug combinations. In this work, we introduce Correlated Drug Action (CDA), a baseline model for the study of drug combinations in both cell cultures and in patient populations. CDA assumes that the efficacy of pairs of drugs to be used in a combination may be correlated, that is, if the efficacy of a drug in a given patient or cell is high (low), then the efficacy of the other drug may also be high (low) in the same patient or cell. Our model can be used in the temporal domain (temporal CDA or tCDA) to explain survival curves in patient populations, and in the dose domain (dose CDA or dCDA), to explain dose-response curves in cell cultures. At the level of clinical trials, we demonstrate tCDAs utility in identifying possibly synergistic combinations and cases where the combination can be explained in terms of the monotherapies. At the level of cells in culture, dCDA generalizes null models such as Bliss independence, the Highest Single Agent model, the dose equivalence principle, and is consistent with what should be expected in sham combinations. We demonstrate the applicability of dCDA in assessing combinations in experimental MCF7 cell-line data by introducing a new metric, the Excess over CDA (EOCDA).

bioinformatics

JAG1 intracellular domain acts as a transcriptional cofactor that forms an oncogenic transcriptional complex with DDX17/SMAD3/TGIF2

Jagged1 (JAG1) is a Notch ligand that contact-dependently activates Notch receptors and regulates cancer progression. The JAG1 intracellular domain (JICD1) is generated from JAG1, such as the formation of NOTCH1 intracellular domain (NICD1), however, the role of JICD1 in tumorigenicity has not been comprehensively elucidated. Herein, we revealed that JICD1 induced astrocytes to acquire several cancer stem cell properties, including tumor formation, invasiveness, stemness, and resistance to chemotherapy and radiotherapy. The transcriptome, ChIP-sequencing, and proteomic analyses revealed that JICD1 increased SOX2 expression by forming a transcriptional complex with DDX17, SMAD3, and TGIF2. Furthermore, JICD1-driven tumorigenicity was directly regulated by SOX2. Therefore, our results demonstrated that, like NICD1, JICD1 acts as a transcriptional cofactor in the formation of the DDX17/SMAD3/TGIF2 transcriptional complex, leading to oncogenic transformation.

molecular biology