Aug 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Supporting data for the manuscript: Chaudhari et al., Synthesis cost is a hidden driver of convergent amino acid composition in plastid ribosomal proteins. List of contents:Data S1 Sequence alignments of all surveyed plastid and nuclear genes in Orobanchaceae, Geraniaceae, Fabaceae, and Caryophyllaceae. These genes included the plastid-encoded plastid ribosome genes (CpPRP), nuclear-encoded plastid-targeted ribosomal proteins (NuPRP), nuclear-encoded plastid-targeted non-ribosomal proteins (NuCpOT), and nuclear-encoded cytosolic ribosomal proteins (NuCyRP). The RNA editing sites of plastid genes were predicted using PREPACT v3 and masked using a custom Python script. The N-terminal peptides of nuclear-encoded plastid-targeted genes were predicted using TargetP v2.0 and trimmed. Data S2 Changes in protein folding stability estimated by ELASPIC2. Protein stability was measured by changes in free energy of protein folding (ΔΔG) using the deep learning powered tool ELASPIC. Pairwise comparisons were performed between 1) observed natural protein pairs (e.g., one Cymbarieae species and a closely related outgroup) and 2) reconstructed ancestral proteins with artificial mutations (e.g., reconstructed ancestral protein of Cymbarieae with introduced R→K mutations).
It is concluded that bridging the gap between foundational CRISPR research and its real-world applications is imperative and future efforts should focus on democratizing tools via open-source platforms, advancing delivery systems, and fostering sustainable innovation through synthetic biology integration to fully realize the transformative potential of genome editing in organisms beyond model organisms.
S. Sarsaiya, Archana Jain, Jishuang Chen et al.· Biotechnology Advances· 2 citations
It is argued that formation of a tumour-intrinsic niche is a prerequisite for BRAF-mutant CRC seeding to distant organs and that interference with niche formation may help avoid metastatic relapse.
J. Bugter, L. El Bouazzaoui, E. Küçükköse et al.· bioRxiv· 2 citations
This review summarizes emerging therapeutic strategies for EOC, their mechanisms of action, and their potential to overcome treatment resistance, and covers molecularly targeted therapies, immunotherapies, metabolic and epigenetic approaches, cellular and gene therapies, targeted drug-delivery systems, and locoregional and physical modalities.
Zofia Pietrasik, Mikołaj Kapała, Joanna Pietrasik et al.· Cancers· 0 citations
Genetic engineering (GE) and gene editing may endow traits to trees such as increased biomass and the production of novel biomaterials. Long-lived organisms such as trees might be subject to biotechnology-related risks that could be different than those of annual row crops. Those risks could be relevant to production in engineered plantations and beyond plantations to natural forests. Therefore, appropriate risk regulation is important to assure biosafety of commercialized engineered trees. In addition to gene flow via sexual reproduction, vegetative reproduction might play an additional role in environmental "exposure" risk relative to transgene dispersal in GE tree plantations. While vegetative reproduction is beneficial for preserving desired genetic traits during tree propagation, it may lead to proximal clonal spread in the field. Although the environmental risks associated with vegetative reproduction of GE trees are recognized in commercial forestry, there are few field-based environmental risk assessment (ERA) studies on dispersal risks of self-propagated GE trees. GE or gene editing of target genes involved in the vegetative propagation processes may be useful to mitigate environmental risks of clonal spread through vegetative reproduction. This review provides updates for recent field test results of GE and gene edited trees. Gene candidates related to vegetative reproduction including adventitious shooting (AS) and adventitious rooting (AR) are discussed herein as a means to mitigate unintended clonal spread from GE tree plantations.
The central nervous system (CNS) harbors a distinct immune memory programming system, wherein immunogenic cell death (ICD) acts as a pivotal signaling hub. A spectrum of insults, from systemic metabolic dysfunction to local protein aggregation and ionic dyshomeostasis, can provoke ICD in neurons, glia, and resident immune cells. This process orchestrates the release of damage-associated molecular patterns (DAMPs) from distinct subcellular compartments. These DAMPs synergistically initiate both innate trained immunity (TI), characterized by profound metabolic-epigenetic reprogramming, and antigen-specific adaptive immune responses that traverse the blood-brain barrier. Together, these pathways constitute an integral network of central immune surveillance. Crucially, this ICD-driven immune programming exhibits a striking functional dichotomy depending on the pathological context. In non-neoplastic conditions such as neural injury and neurodegenerative diseases, uncontrolled ICD signaling can establish a pathological trained immune memory, driving a self-perpetuating cycle of chronic neuroinflammation and tissue damage. Conversely, within the tumor microenvironment of malignancies like glioma, the adaptive immune responses elicited by ICD are frequently subverted by potent immunosuppressive mechanisms, culminating in tumor immune escape. This review dissects the differential regulatory mechanisms of ICD-mediated immune memory in CNS tumors versus non-tumor diseases. We aim to elucidate the molecular switches that govern the transition of this immune program from a beneficial, compensatory state to a pathological, detrimental phenotype. By exploring emerging therapeutic strategies, including gene editing, nanomaterials, and bioactive phytochemicals that precisely target ICD pathways, we provide a theoretical framework for understanding CNS immune homeostasis and for the rational design of precision immunotherapies.
Unknown authors· Ageing Research Reviews· 0 citations
Findings establish Cas7-11 as a precise and efficient RNA knockdown tool for functional studies in embryonic development and stem cell biology, providing a versatile alternative to DNA-based gene-editing approaches.
Huan Yan, Imtiaz Ul Hassan, Kai Yan et al.· Cell & Bioscience· 0 citations
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
