Spatial Transcriptomic and Proteomic Landscape of Human Liver Allograft Rejection

Formalin-fixed, paraffin-embedded (FFPE) liver biopsy samples were collected from the Department of Pathology at Beijing Tsinghua Changgung Hospital. The cohort included post-transplant needle biopsies from patients with and without pathologically confirmed T cell–mediated rejection (TCMR). All TCMR samples were obtained prior to anti-rejection therapy. Diagnoses were established according to the Banff criteria and independently reviewed by two senior pathologists. The study was approved by the institutional ethics committee, and informed consent was obtained from all participants. To characterize spatial cellular organization during allograft rejection, Xenium subcellular-resolution spatial transcriptomics was performed using a customized 5,000-plex gene panel on 23 liver biopsies (5 non-rejection [NR] and 18 rejection [R]). In parallel, GeoMx Digital Spatial Profiling (DSP) was used to generate spatial proteomics data from 20 biopsies (10 NR and 10 R). A total of 39 regions of interest (ROIs) were selected based on PanCK, CD45, α-SMA, and DNA staining to identify the portal area (PA), including 9 NR_non-PA, 10 R_non-PA, 10 NR_PA, and 10 R_PA regions. Additionally, 8 PanCK⁺ portal areas of illumination (AOIs), representing cholangiocytes, were profiled for protein-level validation (4 NR and 4 R).

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-27
DOI
https://doi.org/10.5281/zenodo.19245281
Primary Topic
Organ Transplantation Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Transcriptomic and Proteomic Landscape of Human Liver Allograft Rejection

Qian Lü, Qi Wang, Hao Chen, Fansen Ji et al.
Zenodo (CERN European Organization for Nuclear Research)
Organ Transplantation Techniques and Outcomes
article

Spatial Transcriptomic and Proteomic Landscape of Human Liver Allograft Rejection

Qian Lü, Qi Wang, Hao Chen, Fansen Ji, Jiahong Dong
article en

Abstract

Formalin-fixed, paraffin-embedded (FFPE) liver biopsy samples were collected from the Department of Pathology at Beijing Tsinghua Changgung Hospital. The cohort included post-transplant needle biopsies from patients with and without pathologically confirmed T cell–mediated rejection (TCMR). All TCMR samples were obtained prior to anti-rejection therapy. Diagnoses were established according to the Banff criteria and independently reviewed by two senior pathologists. The study was approved by the institutional ethics committee, and informed consent was obtained from all participants. To characterize spatial cellular organization during allograft rejection, Xenium subcellular-resolution spatial transcriptomics was performed using a customized 5,000-plex gene panel on 23 liver biopsies (5 non-rejection [NR] and 18 rejection [R]). In parallel, GeoMx Digital Spatial Profiling (DSP) was used to generate spatial proteomics data from 20 biopsies (10 NR and 10 R). A total of 39 regions of interest (ROIs) were selected based on PanCK, CD45, α-SMA, and DNA staining to identify the portal area (PA), including 9 NR_non-PA, 10 R_non-PA, 10 NR_PA, and 10 R_PA regions. Additionally, 8 PanCK⁺ portal areas of illumination (AOIs), representing cholangiocytes, were profiled for protein-level validation (4 NR and 4 R).

Zenodo (CERN European Organization for Nuclear Research)
Beijing Tsinghua Chang Gung Hospital (CN), Tsinghua University (CN)
Openalex Percentile: Top 4%
Organ Transplantation Techniques and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatial Transcriptomic and Proteomic Landscape of Human Liver Allograft Rejection — Qian Lü, Qi Wang, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS