서울대학교 생물정보학 협동과정 주최로 세미나를 아래와 같이 열고자 하오니 많은 참여 바랍니다.

세미나는 Zoom을 통한 온라인 강의로 예정되어 있으며 강의에 참여하고자 하시는 분께서는 아래의 링크로 참여 부탁드리겠습니다.

*줌으로 참석하기 위해서는 "참석자로 회의 참가" --> 이름, 성, 이메일 주소, 이메일 주소 확인을 입력하시고 등록하시면 회의 참석이 가능합니다.

일시: 2023년 6월 1일 목요일 오전 11시

연사: 최정민 교수님 (고려대학교)

Zoom link: http://snu-ac-kr.zoom.us/s/97327838598

Spatiotemporally Resolved Single-cell Analyses Delineate Early Esophageal Squamous Carcinogenesis

Jungmin Choi, Ph.D.

Korea University College of Medicine

Esophageal squamous cell carcinoma (ESCC), the most prevalent histotype of esophageal neoplasm, has 5-year survival rates of 15-20%. Understanding the progression from normal, squamous dysplasia, and invasive carcinoma is critical for both early detection and treatment. Here, we combined single-nucleus RNA-seq (snRNA-seq) with spatially resolved transcriptomics to decipher molecular differences between in premalignant lesions compared with normal tissue and invasive tumor. Using patient samples, we constructed a cellular atlas of ESCC and discovered a novel tumor-initiating subpopulation in the epithelial compartment. Spatiotemporal pseudotime analysis revealed a distinct tumor cell lineage that was directly derived from basal progenitor cells.

Moreover, we identified that the composition of the immune compartment significantly changed at the stage of dysplasia, suggesting immune activation and evasion occur before tumor invasion. We further developed robust methods for an integrated analysis to characterize spatial information at the single-cell level better. Spot deconvolution using annotated snRNA-seq data not only reconstructed a priori knowledge of cancer pathobiology but also identified novel features of ESCC tumorigenesis with enhanced resolution. Finally, the interaction between tumor cells and immune/stromal cells could be mapped and visualized in the spatial context. These data define ESCC tumor and immune cell subpopulations during carcinogenesis, the spatial niches where they interact, and the dynamic gene expression reprogramming engaged in multi-compartments of cancer. Furthermore, these multimodal approaches may popularize near future to gain insights of individual tumor biology and their implementation to clinics.