Single-cell and spatially resolved transcriptomics for liver biology DOI
Ping Lin, Xi Yan, Siyu Jing

et al.

Hepatology, Journal Year: 2023, Volume and Issue: 80(3), P. 698 - 720

Published: April 1, 2023

Single-cell transcriptomics enables the identification of rare cell types and inference state transitions, whereas spatially resolved allows quantification cells genes in context tissues. The recent progress these new technologies is improving our understanding landscape its roles diseases. Here, we review key biological insights into liver homeostasis, development, regeneration, chronic disease, cancer obtained from single-cell transcriptomics. We highlight atlas that characterizes comprehensive cellular composition; diversity function; spatial architecture such as zonation, communication, proximity; identity conversion cell-specific alterations are associated with pathology; therapeutic targets. further discuss outstanding challenges, advanced experimental technologies, computational methods help to address challenges.

Language: Английский

Defatting of Human Livers During Long-Term ex situ Normothermic Perfusion: Novel Strategy to Rescue Discarded Organs for Transplantation DOI
Richard X. Sousa Da Silva, Lucía Bautista Borrego, Daniela Lenggenhager

et al.

Annals of Surgery, Journal Year: 2023, Volume and Issue: unknown

Published: July 27, 2023

To develop a protocol for the defatting of steatotic liver grafts during long-term ex situ normothermic machine perfusion.

Language: Английский

Citations

15

Oit3, a promising hallmark gene for targeting liver sinusoidal endothelial cells DOI Creative Commons
Zhiwen Li,

Bai Ruan,

Peijun Yang

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2023, Volume and Issue: 8(1)

Published: Sept. 12, 2023

Abstract Liver sinusoidal endothelial cells (LSECs) play a pivotal role in maintaining liver homeostasis and influencing the pathological processes of various diseases. However, neither LSEC-specific hallmark genes nor LSEC promoter-driven Cre mouse line has been introduced before, which largely restricts study diseases with vascular disorders. To explore genes, we compared top 50 marker between (ECs) capillary ECs identified 18 overlapping genes. After excluding globally expressed those low expression percentages, narrowed our focus to two final candidates: Oit3 Dnase1l3. Through single-cell RNA sequencing (scRNA-seq) analysis NCBI database, confirmed extrahepatic The paired-cell data further demonstrated that was predominantly midlobular ECs. Subsequently, constructed inducible Oit3-CreERT2 transgenic mice, were crossed ROSA26-tdTomato mice. Microscopy validated established Oit3-CreERT2-tdTomato mice exhibited significant fluorescence rather than other organs. staining colocalization tdTomato EC markers. Ex-vivo experiments isolated tdTomato+ well-differentiated fenestrae highly markers, confirming their identity as LSECs. Overall, is promising gene for tracing establishment provides valuable model studying complexities LSECs

Language: Английский

Citations

15

Alterations in zonal distribution and plasma membrane localization of hepatocyte bile acid transporters in patients with NAFLD DOI Creative Commons
William A. Murphy, Anna Mae Diehl, Matthew Shane Loop

et al.

Hepatology Communications, Journal Year: 2024, Volume and Issue: 8(3)

Published: Feb. 14, 2024

NAFLD is highly prevalent with limited treatment options. Bile acids (BAs) increase in the systemic circulation and liver during progression. Changes plasma membrane localization zonal distribution of BA transporters can influence transport function homeostasis. However, a thorough characterization how influences these factors currently lacking. This study aimed to evaluate impact accompanying histologic features on functional capacity key hepatocyte across regions human biopsies.

Language: Английский

Citations

5

Glycolysis in hepatic stellate cells coordinates fibrogenic extracellular vesicle release spatially to amplify liver fibrosis DOI Creative Commons
Shalil Khanal, Yuanhang Liu, Adebowale O. Bamidele

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(26)

Published: June 28, 2024

Liver fibrosis is characterized by the activation of perivascular hepatic stellate cells (HSCs), release fibrogenic nanosized extracellular vesicles (EVs), and increased HSC glycolysis. Nevertheless, how glycolysis in HSCs coordinates amplification through tissue zone-specific pathways remains elusive. Here, we demonstrate that HSC-specific genetic inhibition reduced liver fibrosis. Moreover, spatial transcriptomics revealed a fibrosis-mediated up-regulation EV-related pericentral zone, which was abrogated inhibition. Mechanistically, up-regulated expression genes such as Ras-related protein Rab-31 ( RAB31 ) enhancing histone 3 lysine 9 acetylation on promoter region, EV release. Functionally, these glycolysis-dependent EVs fibrotic gene recipient HSC. Furthermore, derived from glycolysis-deficient mice contrast to glycolysis-competent mouse EVs. In summary, amplifies promoting represents potential therapeutic target.

Language: Английский

Citations

5

Single-cell and spatially resolved transcriptomics for liver biology DOI
Ping Lin, Xi Yan, Siyu Jing

et al.

Hepatology, Journal Year: 2023, Volume and Issue: 80(3), P. 698 - 720

Published: April 1, 2023

Single-cell transcriptomics enables the identification of rare cell types and inference state transitions, whereas spatially resolved allows quantification cells genes in context tissues. The recent progress these new technologies is improving our understanding landscape its roles diseases. Here, we review key biological insights into liver homeostasis, development, regeneration, chronic disease, cancer obtained from single-cell transcriptomics. We highlight atlas that characterizes comprehensive cellular composition; diversity function; spatial architecture such as zonation, communication, proximity; identity conversion cell-specific alterations are associated with pathology; therapeutic targets. further discuss outstanding challenges, advanced experimental technologies, computational methods help to address challenges.

Language: Английский

Citations

12