Wenyan Chen, Shanghai Institute of Nutrition and Health,2023.10.10

Description

OEP004627

Xing Xiang, ,2023.12.21

Description

OEP004875

Xing Xiang, ,2023.12.21

Description

OEP004876

Xing Xiang, ,2020.06.29

Description

OEP001035

qiang wang, ,2023.12.18

Description

OEP004863

fan zhang, Fudan university,2023.12.17

Description

We presented an atlas of cell-type resolved proteome of mouse heart and region-resolved proteome of both mouse and human heart. This work presented the panoramic heart proteome map, and served as the rich resource for heart researches in the future.

OEP004859

Yifei Cheng, Fudan University,2023.04.15

Description

We performed the first spatial multi-omics analysis of HCC to explore the potential mechanism underlying the opposing roles of the stromal architecture surrounding and occupying tumor mass. Using spatial proteomics, and high-resolution spatial transcriptomics (Stereo-seq) with paired single-cell/single-nucleus sequencing, single-cell chromatin profiling, and multi-plex imaging, we revealed two distinct fibroblast subpopulations, CAF1_FAP and CAF3_C7, coordinating with local TME cells to form inflammatory hubs in the tumor-occupying stroma and wound healing hubs in the tumor-surrounding stroma, respectively. Moreover, we validated the prognostic value of CAF1_FAP and CAF3_C7, and revealed their distinct ECM profiles, gene regulatory networks, and cell-cell interactome, providing insights for the design of novel stromal-targeted therapies in HCC. Our study proposes the balance between tumor-surrounding stroma and tumor-occupying stroma mediates tumor progression and anti-tumor immunity and highlights the potential of spatial multi-omics studies in identifying novel biomarkers and informing targeting strategies in HCC and other human cancer types beyond.

OEP004110

Yidi Sun, Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences,2023.10.26

Description

Bone metastasis is of common occurrence in renal cell carcinoma (RCC) with poor prognosis, but no optimal treatment approach has been established for bone metastatic RCC (BMRCC). To explore the potential therapeutic targets for BMRCC, we profiled single cell transcriptomes of 6 primary RCCs and 9 bone metastatic RCCs. We also included scRNA-seq data of early-stage RCCs, late-stage RCCs, normal kidneys and healthy bone marrow samples in the study to better understand the bone metastasis niche. The molecular properties and dynamic changes of major cell lineages in bone metastatic environment of RCCs were characterized. BMRCC is associated with multifaceted immune deficiency together with cancer-associated fibroblasts, specifically appearance of macrophages exhibiting malignant and pro-angiogenic features. We also revealed the dominance of immune inhibitory T cells in the BMRCC which could be partially restored by the treatment. Trajectory analysis showed that myeloid-derived suppressor cells are progenitors of macrophages in the BMRCC while monocytes are their progenitors in primary tumors and healthy bone marrows. Additionally, the infiltration of immune inhibitory CD47+ T cells was observed in bone metastatic tumors, which might be a result of reduced phagocytosis by SIRPA-expressing macrophages in the bone microenvironment. Together, our results provide a systematic view of various cell types in bone metastatic RCCs and suggest avenues for novel therapeutic solutions.

OEP004678

Jianjun Wang, Nanjing Institute of Geography and Limnology,2023.12.18

Description

Sampling stream biofilms for bacterial and fungal biodiversity and underlying driving mechanisms research on the Tibetan Plateau in 2018.

OEP004862

Xin Li, Shanghai Institute of Nutrition and Health,CAS,2023.12.18

Description

A total of 271 unresolved IRD patients and their available family members (n=646) were screened using WGS technology to identify pathogenic SVs and intronic variants in 792 known ocular disease genes. The pathogenicity of all identified variants was evaluated through a combination of factors including allele frequencies (AFs) in the general population, functional annotation, and inheritance pattern analysis.

OEP004860