Trends in Cell Biology最新文献

Unlike most other organelles found in multiple copies, the endoplasmic reticulum (ER) is a unique singular organelle within eukaryotic cells. Despite its continuous membrane structure, encompassing more than half of the cellular endomembrane system, the ER is subdivided into specialized sub-compartments, including morphological, membrane contact site (MCS), and de novo organelle biogenesis domains. In this review, we discuss recent emerging evidence indicating that, in response to nutrient stress, cells undergo a reorganization of these sub-compartmental ER domains through two main mechanisms: non-destructive remodeling of morphological ER domains via regulation of MCS and organelle hitchhiking, and destructive remodeling of specialized domains by ER-phagy. We further highlight and propose a critical role of membrane lipid metabolism in this ER remodeling during starvation.

Posttranslational modification by small ubiquitin-like modifiers (SUMOs) is critical in regulating diverse cellular processes including gene expression, cell cycle progression, genome integrity, cellular metabolism, and inflammation and immunity. The covalent attachment of SUMOs to target proteins is highly dynamic and reversible through the concerted action of SUMO conjugating and deconjugating enzymes. In mammalian cells, sentrin-specific proteases (SENPs) are the most abundant family of deconjugating enzymes. This review highlights recent advances in our knowledge of the substrates and cellular and physiological processes controlled by SENPs. Notably, SENPs are emerging as significant players in cancer, as well as in other diseases, making them attractive targets for therapeutic intervention. Consequently, a growing amount of effort in the field is being directed towards the development of SENP inhibitors.

The growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the computational tasks of segmentation, classification, and tracking of cellular and subcellular structures and dynamics. We summarise long-standing challenges in microscopy video analysis from a computational perspective and review emerging research frontiers and innovative applications for DL-guided automation in cell dynamics research.

Glycosylation is a complex co-translational and post-translational modification (PTM) in eukaryotes that utilizes glycosyltransferases to generate a vast array of glycoconjugate structures. Recent studies have highlighted the role of glycans in regulating essential molecular, cellular, tissue, organ, and systemic biological processes with significant implications for human diseases, particularly cancer. The metabolic reliance of cancer, spanning tumor initiation, disease progression, and resistance to therapy, necessitates a range of uniquely altered cellular metabolic pathways. In addition, the intricate interplay between cell-intrinsic and -extrinsic mechanisms is exemplified by the communication between cancer cells, cancer stem cells (CSCs), cancer-associated fibroblasts (CAFs), and immune cells within the tumor microenvironment (TME). In this review article, we explore how differential glycosylation in cancer influences the metabolism and stemness features alongside new avenues in glycobiology.

The majority of the DNA sequence in our genome is noncoding and not intended for synthesizing proteins. Nonetheless, genome-wide mapping of ribosome footprints has revealed widespread translation in annotated noncoding sequences, including long noncoding RNAs (lncRNAs), untranslated regions (UTRs), and introns of mRNAs. How cells suppress the translation of potentially toxic proteins from various noncoding sequences remains poorly understood. This review summarizes mechanisms for the mitigation of noncoding translation, including the BCL2-associated athanogene 6 (BAG6)-mediated proteasomal degradation pathway, which has emerged as a unifying mechanism to suppress the translation of diverse noncoding sequences in metazoan cells.

Communication between dying and neighbouring cells is vital to ensure appropriate processes such as tissue repair or inflammation are initiated in response to cell death. As a mechanism to aid intercellular communication, cells undergoing apoptosis can release membrane-bound extracellular vesicles (EVs) called apoptotic-cell-derived EVs (ApoEVs) that can influence downstream processes through biomolecules within or on ApoEVs. ApoEVs are broadly categorised based on size as either large ApoEVs known as apoptotic bodies (ApoBDs) or small ApoEVs (s-ApoEVs). Notably, the mechanisms of ApoBD and s-ApoEV formation are different, and the functions of these two ApoEV subsets are distinct. This Review focuses on the biogenesis and functional properties of both ApoBDs and s-ApoEVs, particularly in the context of cell clearance, cell signalling and disease progression.

Mitosis is a cellular process that demands high energy, but it was previously unclear how this process is linked with mitochondrial ATP production. Zhao et al. describe how during mitosis, the lamin B receptor migrates to the ER membrane to enhance ER-mitochondria contact sites, coordinating Ca²⁺ surges that increase ATP production necessary for cell division.

Mitochondria are signaling hubs that produce immunomodulatory metabolites during the immune response. In addition, mitochondria also facilitate the recruitment and anchoring of immune signaling complexes during infection. Evolutionary conserved signaling intermediate in toll (ECSIT) was initially described as a positive regulator of the transcription factor Nuclear factor kappa-light chain enhancer of activated B cells (NF-κB). More recently, ECSIT has emerged as a regulator of bacterial clearance, mitochondrial reactive oxygen species (mROS), and mitophagy. In addition, ECSIT has been identified as a control point in responding to viral infection and tumorigenesis. Notably, ECSIT loss in different models and cell types has been found to lead to enhanced tumorigenesis. Thus, ECSIT functions as a metabolic tumor suppressor and limits cancer pathogenesis. In this review, we highlight the key functions and crosstalk mechanisms that ECSIT bridges between cell metabolism and immunity and focus then on the antitumor role of ECSIT independent of immunity.

Neutrophils have recently received increased attention in cancer because they contribute to all stages of cancer. Neutrophils are so far considered to have a short half-life. However, a growing body of literature has shown that tumor-associated neutrophils (TANs) acquire a prolonged lifespan. This review discusses recent work surrounding the mechanisms by which neutrophils can persist in the tumor microenvironment (TME). It also highlights different scenarios for therapeutic targeting of protumorigenic neutrophils, supporting the idea that, in tumors, inhibition of neutrophil recruitment is not sufficient because these cells can persist and remain hidden from current interventions. Hence, the elimination of long-lived neutrophils should be pursued to increase the efficacy of standard therapy.

Metazoan organisms are heterocellular systems composed of hundreds of different cell types, which arise from an isogenic genome through differentiation. Cellular 'plasticity' further enables cells to alter their fate in response to exogenous cues and is involved in a variety of processes, such as wound healing, infection, and cancer. Recent advances in cellular model systems, high-dimensional single-cell technologies, and lineage tracing have sparked a renaissance in plasticity research. Here, we discuss the definition of cell plasticity, evaluate state-of-the-art model systems and techniques to study cell-fate dynamics, and explore the application of single-cell technologies to obtain functional insights into cell plasticity in healthy and diseased tissues. The integration of advanced biomimetic model systems, single-cell technologies, and high-throughput perturbation studies is enabling a new era of research into non-genetic plasticity in metazoan systems.