The diversification of methods for studying cell–cell interactions and communication

E Armingol, HM Baghdassarian, NE Lewis - Nature Reviews Genetics, 2024 - nature.com
No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …

Machine learning in tissue engineering

JL Guo, M Januszyk, MT Longaker - Tissue Engineering Part A, 2023 - liebertpub.com
Machine learning (ML) and artificial intelligence have accelerated scientific discovery,
augmented clinical practice, and deepened fundamental understanding of many biological …

Nanoparticle single-cell multiomic readouts reveal that cell heterogeneity influences lipid nanoparticle-mediated messenger RNA delivery

C Dobrowolski, K Paunovska… - Nature …, 2022 - nature.com
Cells that were previously described as homogeneous are composed of subsets with distinct
transcriptional states. However, it remains unclear whether this cell heterogeneity influences …

[HTML][HTML] Multi-omic analyses of changes in the tumor microenvironment of pancreatic adenocarcinoma following neoadjuvant treatment with anti-PD-1 therapy

K Li, JA Tandurella, J Gai, Q Zhu, SJ Lim, DL Thomas… - Cancer Cell, 2022 - cell.com
Successful pancreatic ductal adenocarcinoma (PDAC) immunotherapy necessitates
optimization and maintenance of activated effector T cells (Teff). We prospectively collected …

[HTML][HTML] Spatial transcriptomics analysis of neoadjuvant cabozantinib and nivolumab in advanced hepatocellular carcinoma identifies independent mechanisms of …

S Zhang, L Yuan, L Danilova, G Mo, Q Zhu… - Genome medicine, 2023 - Springer
Background Novel immunotherapy combination therapies have improved outcomes for
patients with hepatocellular carcinoma (HCC), but responses are limited to a subset of …

ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods

J Luo, M Deng, X Zhang, X Sun - Genome Research, 2023 - genome.cshlp.org
Cell-cell communication (CCC) is critical for determining cell fates and functions in
multicellular organisms. With the advent of single-cell RNA-sequencing (scRNA-seq) and …

Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species …

C Cherry, JI Andorko, K Krishnan, JC Mejías… - GeroScience, 2023 - Springer
Cellular senescence is a state of permanent growth arrest that plays an important role in
wound healing, tissue fibrosis, and tumor suppression. Despite senescent cells'(SnCs) …

Biomaterial based implants caused remote liver fatty deposition through activated blood-derived macrophages

Z Peng, C Xie, S Jin, J Hu, X Yao, J Ye, X Zhang… - Biomaterials, 2023 - Elsevier
Understanding the biocompatibility of biomaterials is a prerequisite for the prediction of its
clinical application, and the present assessments mainly rely on in vitro cell culture and in …

Signals that control MAIT cell function in healthy and inflamed human tissues

AJ Konecny, Y Huang, M Setty… - Immunological Reviews, 2024 - Wiley Online Library
Mucosal‐associated invariant T (MAIT) cells have a semi‐invariant T‐cell receptor that
allows recognition of antigen in the context of the MHC class I‐related (MR1) protein …

A mineralizing pool of Gli1-expressing progenitors builds the tendon enthesis and demonstrates therapeutic potential

F Fang, Y Xiao, E Zelzer, KW Leong, S Thomopoulos - Cell Stem Cell, 2022 - cell.com
The enthesis, a fibrocartilaginous transition between tendon and bone, is necessary for force
transfer from muscle to bone to produce joint motion. The enthesis is prone to injury due to …