If somatic stem cells would be able to maintain their regenerative capacity over time, this might, to a great extent, resolve rejuvenation issues. Unfortunately, the pool of somatic stem cells is limited, and they undergo cell aging with a consequent loss of functionality. During the last decade, low molecular weight compounds that are able to induce or enhance cell reprogramming have been reported. They were named "Small Molecules" (SMs) and might present definite advantages compared to the exogenous introduction of stemness-related transcription factors (e.g. Yamanaka's factors). Here, we undertook a systemic analysis of SMs and their potential gene targets. Data mining and curation lead to the identification of 92 SMs. The SM targets fall into three major functional categories: epigenetics, cell signaling, and metabolic "switchers". All these categories appear to be required in each SM cocktail to induce cell reprogramming. Remarkably, many enriched pathways of SM targets are related to aging, longevity, and age-related diseases, thus connecting them with cell reprogramming. The network analysis indicates that SM targets are highly interconnected and form protein-protein networks of a scale-free topology. The extremely high contribution of hubs to network connectivity suggests that (i) cell reprogramming may require SM targets to act cooperatively, and (ii) their network organization might ensure robustness by resistance to random failures. All in all, further investigation of SMs and their relationship with longevity regulators will be helpful for developing optimal SM cocktails for cell reprogramming with a perspective for rejuvenation and life span extension.
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http://dx.doi.org/10.18632/aging.203791 | DOI Listing |
Anim Cells Syst (Seoul)
January 2025
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea.
Dynamic modeling of cellular states has emerged as a pivotal approach for understanding complex biological processes such as cell differentiation, disease progression, and tissue development. This review provides a comprehensive overview of current approaches for modeling cellular state dynamics, focusing on techniques ranging from dynamic or static biomolecular network models to deep learning models. We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
Department of Thoracic Surgery, Shaanxi Provincial Cancer Hospital Xi'an 710061, China.
The study investigated the effect of casticin on the proliferation of non-small cell lung cancer(NSCLC) H322 cells and explored its molecular mechanism. Firstly, the cell counting kit-8(CCK-8) assay, colony formation assay, and EdU assay were used to detect the effect of casticin on the proliferation capacity of H322 cells under different concentrations and treatment durations. Then, glucose uptake, lactate production, extracellular pH, and oxygen consumption of H322 cells were measured before and after casticin treatment to analyze its impact on glycolysis in NSCLC H322 cells.
View Article and Find Full Text PDFRNA
January 2025
IRB, Barcelona
Virtually all mRNAs acquire a poly(A) tail co-transcriptionally, but its length is dynamically regulated in the cytoplasm in a transcript-specific manner. The length of the poly(A) tail plays a crucial role in determining mRNA translation, stability, and localization. This dynamic regulation of poly(A) tail length is widely used to create post-transcriptional gene expression programs, allowing for precise temporal and spatial control.
View Article and Find Full Text PDFBiomaterials
January 2025
School of Life Science, Chongqing University, Chongqing, 400044, China. Electronic address:
In-situ tumor vaccination remains challenging due to difficulties in the exposure and presentation of tumor-associated neoantigens (TANs). In view of the central role of lipid metabolism in cell fate determination and tumor-immune cell communication, here we report a photo-controlled lipid metabolism nanoregulator (PLMN) to achieve robust in-situ adjuvant-free vaccination, which is constructed through hierarchically integrating photothermal-inducible arachidonate 15-lipoxygenase (ALOX15)-expressing plasmids, cypate and FIN56 into cationic liposomes. Near-infrared light (NIR) stimulation triggers on-demand ALOX15 editing and causes excessive accumulation of downstream pro-ferroptosis lipid metabolites.
View Article and Find Full Text PDFCancer Res
January 2025
First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sunitinib is a first-line targeted therapy for patients with renal cell carcinoma (RCC), but resistance represents a significant obstacle to the treatment of advanced and metastatic RCC. Metabolic reprogramming is a characteristic of RCC, and changes in metabolic processes might contribute to resistance to sunitinib. Here, we identified MTHFD2, a mitochondrial enzyme involved in one-carbon metabolism, as a critical mediator of sunitinib resistance in RCC.
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