Diffusion model assisted designing self-assembling collagen mimetic peptides as biocompatible materials DOI Creative Commons

Xinglong Wang,

Kangjie Xu, Lingling Ma

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 14, 2024

Collagen self-assembly supports its mechanical function, but controlling collagen mimetic peptides (CMPs) to self-assemble into higher-order oligomers with numerous functions remains challenging due the vast potential amino acid sequence space. Herein, we developed a diffusion model learn features from different types of human collagens and generate CMPs; obtaining 66% synthetic CMPs could triple helices. Triple-helical untwisting states were probed by melting temperature (Tm); hence, predict Tm, achieving state-of-art Pearson's correlation (PC) 0.95 cross-validation PC 0.8 for predicting Tm values CMPs. Our chemically synthesized short recombinantly expressed long self-assemble, lowest requirement hydrogel formation at concentration 0.08% (w/v). Five promote osteoblast differentiation. results demonstrated using computer-aided methods design functional self-assembling

Language: Английский

Comprehensive pan-cancer analysis reveals CD70 as a promising therapeutic target and biomarker in clear cell renal cell carcinoma DOI
Xuezhou Zhang, Baoan Hong, Wei Yu

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142079 - 142079

Published: March 1, 2025

Language: Английский

Citations

0

CD70-targeted cancer theranostics: Progress and challenges DOI
Weijun Wei, Viktor Grünwald,

Ken Herrmann

et al.

Med, Journal Year: 2025, Volume and Issue: unknown, P. 100671 - 100671

Published: April 1, 2025

Language: Английский

Citations

0

The pathogenesis and therapeutic implications of metabolic reprogramming in renal cell carcinoma DOI Creative Commons
Yifan Zhang, Shengli Zhang, Hongbin Sun

et al.

Cell Death Discovery, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 19, 2025

Abstract Renal cell carcinoma (RCC), a therapeutically recalcitrant genitourinary malignancy, exemplifies the profound interplay between oncogenic signaling and metabolic adaptation. Emerging evidence positions reprogramming as central axis of RCC pathogenesis, characterized by dynamic shifts in nutrient utilization that transcend canonical Warburg physiology to encompass lipid anabolism, glutamine auxotrophy, microenvironment-driven plasticity. This orchestrated rewiring cellular energetics sustains tumor proliferation under hypoxia while fostering immunosuppression through metabolite-mediated T exhaustion myeloid-derived suppressor activation. Crucially, exhibits heterogeneity across histological subtypes intratumoral regions—a feature increasingly recognized determinant therapeutic resistance. Our review systematically deciphers molecular architecture metabolism, elucidating how VHL/HIF mutations, mTOR pathway dysregulation, epigenetic modifiers converge reshape glucose flux, droplet biogenesis, amino acid catabolism. We present novel insights into spatial zonation within tumors, where pseudohypoxic niches engage lactate shuttling cholesterol efflux adjacent vasculature, creating pro-angiogenic immunosuppressive microdomains. Therapeutically, we evaluate first-in-class inhibitors targeting rate-limiting enzymes de novo lipogenesis proposing biomarker-driven strategies overcome compensatory highlight synergy glutaminase PD-1 blockade reinvigorating CD8 + function, role lipid-loaded cancer-associated fibroblasts shielding tumors from ferroptosis. Finally, outline translational roadmap integrating multi-omics profiling, functional metabolomics, biology match vulnerabilities with precision therapies.

Language: Английский

Citations

0

Diffusion model assisted designing self-assembling collagen mimetic peptides as biocompatible materials DOI Creative Commons

Xinglong Wang,

Kangjie Xu, Lingling Ma

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 14, 2024

Collagen self-assembly supports its mechanical function, but controlling collagen mimetic peptides (CMPs) to self-assemble into higher-order oligomers with numerous functions remains challenging due the vast potential amino acid sequence space. Herein, we developed a diffusion model learn features from different types of human collagens and generate CMPs; obtaining 66% synthetic CMPs could triple helices. Triple-helical untwisting states were probed by melting temperature (Tm); hence, predict Tm, achieving state-of-art Pearson's correlation (PC) 0.95 cross-validation PC 0.8 for predicting Tm values CMPs. Our chemically synthesized short recombinantly expressed long self-assemble, lowest requirement hydrogel formation at concentration 0.08% (w/v). Five promote osteoblast differentiation. results demonstrated using computer-aided methods design functional self-assembling

Language: Английский

Citations

0