Biomedical subjects

Lei Shi

Publications and source records attributed to Lei Shi.

5 recordsLinked to original sources

PubMed2026

Improving recombinant protein productivity in CHO cells via multi-omics data integration.

Chinese hamster ovary (CHO) cells represent the dominant host system for the production of recombinant therapeutic proteins. In recent decades, extensive research has focused on process/media optimization and cell line engineering to improve both the productivity and quality of biopharmaceutical proteins produced in CHO cells. Nevertheless, the inherent complexity of biological pathways and the heterogeneous cellular responses to different environmental conditions have posed substantial challenges to traditional methodologies. Recent advances in omics technologies have enabled comprehensive characterization of CHO cell physiology, providing multidimensional molecular and phenotypic insights that facilitate the enhancement of recombinant protein production. This review first summarizes the methodologies and advances in CHO omics research, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. It then examines contemporary approaches to integrate and analyze multi-omics data in CHO cells. The review further elucidates how these multi-omics datasets can be strategically applied across various developmental stages, including cell line selection, genetic engineering, expression vector design, and bioprocess optimization. Finally, we explore the transformative potential of integrating multi-omics with artificial intelligence and discuss promising future research directions in CHO cell studies. These emerging paradigms offer novel opportunities for data-driven cell engineering and bioprocess optimization in CHO-based biomanufacturing.

Bioprocessing↗

PubMed2026

Spatial proteomics reveals four-stage molecular evolution in cancer immunotherapy-related gastritis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, yet immune-related adverse events (irAEs) including immunotherapy-related gastritis (IRAEG) pose significant clinical challenges-often necessitating treatment interruption that may compromise antitumor efficacy. IRAEG presents with atypical symptoms, lacks specific biomarkers, and shows histopathological overlap with other forms of gastritis, complicating diagnosis and management. Despite increasing clinical recognition, a systematic understanding of spatial molecular alterations across the full disease course remains limited. Here, we used spatial proteomics to map the molecular landscape of IRAEG during disease progression and to define stage-specific patterns of molecular evolution relevant to cancer immunotherapy management. METHODS: We analyzed tissue samples from seven patients, including four non-immunotherapy-related gastritis controls and three cancer patients who developed IRAEG following ICI therapy for solid tumors, sampled longitudinally across four disease stages: baseline (G1), acute severe inflammation (G2), early recovery (G3), and complete recovery (G4). Using laser capture microdissection coupled with data-independent acquisition mass spectrometry, we profiled 177 spatially resolved gastric tissue regions. Multiplex immunohistochemistry and immunofluorescence characterized features of the immune microenvironment, while Gene Ontology, KEGG pathway analysis, Gene Set Variation Analysis, and xCell inference enabled functional, metabolic, and immune profiling. Key immune and NET-related findings were further validated by multiplex immunofluorescence in an independent, expanded cohort of IRAEG and non-immunotherapy-related gastritis samples. RESULTS: IRAEG was characterized by widespread HLA molecule activation and enhanced antigen processing, resembling the immune phenotype observed in organ transplant rejection. The acute G2 stage exhibited excessive neutrophil extracellular trap formation, profound metabolic suppression, and collapse of immune homeostasis-features that may inform early intervention strategies to preserve ICI treatment continuity. During early recovery (G3), inflammatory injury transitioned toward repair, marked by activation of fatty acid metabolism and PPAR signaling. Notably, even at complete clinical recovery (G4), more than 1,000 proteins remained differentially expressed, reflecting sustained enhancement of metabolic and immune functions and establishing a distinct molecular "memory" state with implications for ICI rechallenge decisions. CONCLUSIONS: These findings define four molecularly distinct stages of IRAEG progression and recovery. The stage-specific signatures identified here serve as candidate biomarkers for diagnosis, disease staging, and therapeutic response assessment, and may guide clinical decisions regarding irAE management, treatment modification, and safe ICI rechallenge to support continued antitumor therapy.

Humans↗

PubMed2026

Deficiency of Setd2 in mesenchymal stem cells facilitates the progression of myelodysplastic syndrome to leukemia.

While previous studies have indicated that H3K36me3, which is mediated by Setd2, may regulate the cell fate of mesenchymal stem cells (MSCs) both in vitro and in vivo, the specific role of MSCs in the onset and progression of MDS remains unclear. Thus, the histone methyltransferase Setd2 is implicated in MDS-associated leukemia. This study utilized NUP98-HOXD13 (NHD13) mice with targeted deletion of Setd2 in MSCs. Here, we found that Setd2-deficient mice undergo faster leukemia transformation than control mice do, as evidenced by the abnormal differentiation of hematopoietic stem progenitor cells in the bone marrow, abnormal hematopoiesis, and increased number of blast cells. Compared with that of control mice, the morphology of NHD13 mouse MSCs with Setd2 deficiency was irregular, and the support function of hematopoietic cells was compromised. This study demonstrated that targeted deletion of Setd2 in MSCs facilitates the advancement of MDS. Furthermore, we identified increased expression of coagulation factor XII as a key leukemic transformation mediator in Setd2-deficient MSCs. Moreover, we found that SETD2 expression is significantly lower in high-risk MDS patients than in low-risk MDS patients, further suggesting that the targeted deletion of Setd2 in MSCs is associated with MDS progression. Collectively, our results suggest that Setd2 in MSCs suppresses MDS progression to leukemia through coagulation factor XII-mediated suppression of the stem cell support capacity of MSCs. Overall, this study sheds light on the pathogenesis of MDS and provides a therapeutic strategy for regulating the microenvironment in patients with MDS who cannot be cured by haematopoietic stem cell transplantation.

Animals↗

PubMed2025

Genome-scale CRISPR screen identifies TMEM198 driving double membrane vesicle formation in swine alphacoronavirus and murine betacoronavirus infected cells.

COVID-19 pandemic caused by the SARS-CoV-2 which is well-publicized cross-species transmissibility. SARS-CoV-2 belongs to genus Betacoronavirus, several pathogenic alphacoronaviruses have shown similar patterns of emergence. Much less attention paid to host factors required for alphacoronavirus replication compared to those of betacoronaviruses. Here, we utilized a genome-wide CRISPR-Cas9-based screen to identify TMEM198 as a critical host protein for double-membrane vesicle (DMVs) formation during the replication of swine alphacoronavirus. Gene deletion of TMEM198 led to a reduction in the levels of viral infection in cells, whereas the ectopic expression of TMEM198 correspondingly resulted in an increase in infection levels. At the mechanistic level, TMEM198 directly binds to the C-terminal of nonstructural protein 3 (nsp3c) and nonstructural protein 4 (nsp4) to participate in the formation of DMVs. The first 35 amino acids at the N-terminal of TMEM198 are critical for the formation of DMVs and viral replication. Moreover, mice with a gene deletion of TMEM198 exhibit reduced susceptibility to the Betacoronavirus MHV. These results identify the function of TMEM198 in the formation of DMVs during the replication of swine alphacoronavirus and murine betacoronavirus.

Animals↗

PubMed2024

Identification and analysis of key genes related to efferocytosis in colorectal cancer.

UNLABELLED: The impact of efferocytosis-related genes (ERGs) on the diagnosis of colorectal cancer (CRC) remains unclear. In this study, efferocytosis-associated biomarkers for the diagnosis of CRC were identified by integrating data from transcriptome sequencing and public databases. Finally, the expression of biomarkers was validated by real-time quantitative polymerase chain reaction (RT-qPCR). Our study may provide a reference for CRC diagnosis. BACKGROUND: It has been shown that some efferocytosis related genes (ERGs) are associated with the development of cancer. However, it is still uncertain how ERGs may influence the diagnosis of colorectal cancer (CRC). METHODS: In our study, the CRC cohorts were gained from transcriptome sequencing and the gene expression omnibus (GEO) database (GSE71187). Efferocytosis related biomarkers with diagnostic utility for CRC were identified through combining differentially expressed analysis, machine learning algorithms, and receiver operating characteristic (ROC) analysis. Then, infiltration abundance of immune cells between CRC and control was evaluated. The regulatory networks (including mRNA-miRNA-lncRNA and miRNA/transcription factors (TF)-mRNA networks) were created. Finally, the expression of biomarkers was validated via real-time quantitative polymerase chain reaction (RT-qPCR). RESULTS: There were 3 biomarkers (ELMO3, P2RY12, and PDK4) related diagnosis for CRC patients gained. ELMO3 was highly expressed in CRC group, while P2RY12 and PDK4 was lowly expressed. Besides, the infiltrating abundance of 3 immune cells between CRC and control groups was significantly differential, namely activated CD4 memory T cells, macrophages M0, and resting mast cells. We then constructed a mRNA-miRNA-lncRNA network containing 3 mRNAs, 33 miRNAs, and 22 lncRNAs, and a miRNA/TF-mRNA network including 3 mRNAs, 33 miRNAs, and 7 TFs. Additionally, RT-qPCR results revealed that the expression trends of all biomarkers were consistent with the transcriptome sequencing data and GSE71187. CONCLUSION: Taken together, this study provides three efferocytosis related biomarkers (ELMO3, P2RY12, and PDK4) for diagnosis of CRC, providing a scientific reference for further studies of CRC.

Humans↗