인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The recent growth of single-cell transcriptomics has made single-cell RNA sequencing (scRNA-seq) into a near-routine technique. Breakthroughs in scalability have led to the creation of organism-wide transcriptomic datasets, aiming to comprehensively profile the cell types and states within an organism throughout its lifecycle. However, the skeleton remains an underrepresented organ system in organism-wide atlases. Given the skeleton's critical role as the central framework of the vertebrate body, its function in housing the hematopoietic niche, and its involvement in metabolic and homeostatic processes, its underrepresentation presents a significant gap in current reference atlas projects. To address this issue, we integrated ten separate murine, publicly available scRNA-seq datasets, which include limb skeletal cells and their developmental precursors, resulting in an atlas of 133,332 cells. This limb skeletal cell atlas describes cells within the mesenchymal lineage, focusing on the process from limb induction to adult bone formation, and encompasses 39 well-characterized cell types and states. By expanding the repertoire of time points and cell types within a single dataset, we enable more complete analyses of cell-cell communication or in silico perturbation studies. Together, these efforts present a valuable resource for researchers in skeletal biology, metabolism, and regenerative medicine, filling an important gap in current atlas mapping projects.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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