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Das, R.

Publications and source records attributed to Das, R..

At least 37 records · Page 2Linked to original sources

Structural similarities of molecules selectively binding the prfA thermosensor RNA

In light of the "silent" AMR pandemic, new avenues to combat pathogenic bacteria are needed. In this work, we screened a large molecule library (n=35 684 unique compounds) with the aim of identifying molecules being able to bind and block translation of the prfA-thermosensor transcript in the bacterial pathogen Listeria monocytogenes. Using a thiazole-orange displacement approach, 468 ([~]1.3% of all molecules) showed the ability to reduce fluorescence. After dose response testing, 32 compounds remained promising and eight of them showed sufficient purity and availability to be further validated. Interestingly, four compounds, being structurally very similar, showed specificity for prfA at a varying degree. All four compounds carried 3 aromatic rings with one connecting amine between two of the rings and an amide linking an aliphatic amine side chain. The most selective compounds, M5, showed a Kd of [~]0.8 {micro}M for the prfA RNA at 35{degrees}C. However, none of the eight most efficient compounds were able to inhibit prfA translation in vitro, suggesting that the molecules are able to bind but not affect the stability of the overall structure. Through this work, we have been able to identify a set of molecules, able to bind the prfA thermosensor RNA selectively, but without affecting translation. These molecules could constitute an important scaffold for further drug development.

microbiology↗

Neural sensing of surface traction modulates proprioceptive activity and locomotion in Caenorhabditis elegans

Locomotion -- whether walking, running, or crawling -- depends on the precise coordination of forces between the body and its surroundings. Two critical factors in this process are the force that resists the relative motion between two bodies, and mechanosensation, the bodys ability to sense and respond to mechanical forces. Together, they allow organisms to move efficiently, adapt to varying environments, and maintain balance. Here we show that the gentle touch receptor neurons (TRNs) in the Caenorhabditis elegans body wall are sensitive to dynamic surface traction. Using a combination of calcium recordings and traction force microscopy in freely moving animals, microfluidics, and whole connectome computer simulations, we show that MEC-4 DEG/ENaC ion channel activity depends on the crawling velocity and friction force. Mutations disrupting MEC-4 activity and body wall mechanoreceptor function produce lethargic worms with impaired proprioceptive regulation, suggesting functional coupling between surface mechanoreceptors and proprioceptors. Our data reveal a new role for classical touch receptors in locomotion and critically define the mechanical modality sensed by skin mechanosensors.

neuroscience↗

Viral communities in Metania sp. sponge microbiomes with possible effects on CO2 fixation

BackgroundBrazilian sponges of the genus Metania (phylum Porifera) are filter-feeding organisms from freshwater ecosystems. Here, we explored viral communities of Metania sp., their functional role in the sponge and how they differ from those in surrounding water. ResultsWe identified 1163 viral operational taxonomic units (vOTUs) from sponge tissue and adjacent water, with 555 vOTUs shared across habitats. Viral diversity was higher in sponges than in water, and community composition differed significantly (PERMANOVA, p = 0.037). Sponge-associated vOTUs exhibited broad phylogenetic diversity, including deep-branching and unclassified clades, and several exclusively sponge-associated Caudoviricetes. Virus-host predictions revealed 173 interactions, largely with sponge-associated bacteria, supported by CRISPR spacer matches, variant formation in multiple vOTUs across sponge individuals, and a high prevalence of microbial defence systems, particularly restriction-modification, abortive infection, and CRISPR-Cas pathways. Functionally, viral communities carried diverse auxiliary viral genes, including those involved in amino acid and central carbon metabolism, carbohydrate degradation, fatty acid biosynthesis, stress responses (e.g., metacaspase-1), and sulphur cycling. Nine sponge-associated vOTUs encoded carbonic anhydrase (CA), and phylogenomic as well as structural analyses showed strong conservation of CA active sites between sponge viruses, bacterial symbionts, and the sponge host. Protein-level homology searches revealed broad biogeographic distribution of viral CA homologs across global ocean microbiomes, despite limited nucleotide similarity, highlighting deep functional conservation. ConclusionsThese findings reveal a phylogenetically diverse and functionally rich viral community associated with freshwater Metania sp., characterized by extensive host interactions, diverse defence mechanisms, and auxiliary metabolic capacities. The structural conservation and widespread distribution of viral carbonic anhydrase genes further suggest ecologically significant roles in carbon transformation within freshwater sponges and potentially across aquatic ecosystems.

microbiology↗

A CD40-Targeted IL-21 Fusokine Enables Rapid Generation of Human IL-10⁺Granzyme B⁺ Regulatory B Cells

Regulatory B cells (Bregs) have emerged as important modulators of immune homeostasis, complementing the classical roles of B cells in antibody production, antigen presentation, and provision of costimulatory signals and cytokines. Beyond promoting immunity, B cells can actively suppress inflammatory responses through specialized regulatory programs that limit effector T cell expansion and restrain pathogenic myeloid activation. These suppressive functions are mediated by mechanisms including secretion of IL-10, IL-35, and TGF-{beta}, expression of inhibitory ligands, and release of granzyme B. However, Bregs are rare and heterogeneous in humans, typically comprising less than 1-2% of circulating B cells, and defects in their frequency or function are associated with autoimmune and inflammatory diseases. The scarcity of endogenous Bregs has driven interest in their ex vivo generation as a cellular immunotherapy. Although several strategies efficiently induce regulatory B cells in murine systems, translation to human B cells has been limited by inefficiency, lack of scalability, or reliance on poorly defined culture conditions. Consequently, a robust and clinically compatible approach for generating human Bregs has remained elusive. With human peripheral blood B cells as starting materiel, we show that a CD40 targeted IL-21 gain of function fusion protein in combination with TLR9 activation induces a stable regulatory phenotype characterized by IL-10 and granzyme B expression in more than 95% of input B-cells. These induced Bregs display a coordinated transcriptional program distinct from conventional activation, significantly suppress activated human T cell proliferation and modulate inflammatory myeloid responses in vitro. In mice with human T-cell driven xenoGVHD, transfusion of T-cell donor matched Bregs significantly improves survival. These data support the feasibility of Breg manufacturing at scale for use a cellular pharmaceutical.

immunology↗

Aβ42 facilitates the activation of Discoidin Domain Receptor 2 and Its nuclear enrichment in Alzheimer's Disease Model

Discoidin domain receptor 2 (DDR2), a receptor tyrosine kinase (RTK) family member, plays a pivotal role in collagen-mediated signaling, influencing several key cellular processes. In Alzheimers disease (AD), DDR2 expression and activity are significantly upregulated. While collagens, the endogenous ligands of DDR2, either remain unchanged or are downregulated in AD-like conditions, Amyloid-beta 42 (A{beta}42) has been found to activate DDR2 in the absence of collagen non-canonically. Additionally, DDR2 naturally translocates to the nucleus in the neuroblastoma cell line SH-SY5Y, and the pool of DDR2 increases further in the nucleus in the presence of A{beta}42, suggesting its novel pathological role in AD. The E113K mutant of DDR2, where the collagen-binding site has been compromised, fails to get activated by collagen, whereas A{beta}42 could still activate it. Furthermore, the DDR2 inhibitor WRG-28 effectively inhibits A{beta}42 induced phosphorylation of the protein. We have also modeled in silico the ectodomain of DDR2, extending through the transmembrane helix, and subsequently docked A{beta}42 pentamer to elucidate the mechanistic basis of kinase activation by amyloid A{beta}. Additionally, we analyzed WRG-28 binding by constructing the ternary complex of DDR2, A{beta}42, and WRG-28. Our structural analyses offer key insights into the molecular mechanisms governing DDR2 activation by A{beta}42 and its inhibition by WRG-28 in the AD cell model, providing a foundation for targeted therapeutic strategies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/694181v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1fd0a08org.highwire.dtl.DTLVardef@19db92borg.highwire.dtl.DTLVardef@1e7b7e7org.highwire.dtl.DTLVardef@1dad3fc_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Interplay of Spoonbill, Larp7 and survival motor neuron, in Drosophila model of Spinocerebellar Ataxia 8 non-coding RNA associated neurodegeneration

A deeper understanding of neurodegenerative disorders at the level of genetic or environmental risk factors as well as contributing genes, pathways, and networks suggests the presence of shared molecular mechanisms. Previously, we have reported that the KH domain of the Spoonbill protein alone can suppress non-coding Spinocerebellar Ataxia 8 (SCA8) associated neurodegeneration. In the current study, we have identified dLarp7 as a novel interacting partner of Spoonbill in Drosophila. Mammalian Larp7 is associated with a neurodevelopmental disorder, Alazami Syndrome (AS). In this study, we report that dLarp7 protein is recruited into the pathogenic SCA8 RNA foci, which leads to depletion of its downstream target, 7SKsnRNA. Soaking away of Larp7 into toxic RNA foci results in its depletion from the physiological pool resulting in destabilization and depletion of 7SKsnRNP. Hence, increasing the dose of dLarp7 suppressed SCA8 associated neurodegeneration, by restoring the physiological levels of dLarp7 and 7SKsnRNP. In addition, it was observed that dLarp7 interacts with the somatic motor neuron (SMN) protein which is associated with spinal muscular atrophy (SMA). This observation led us to explore the interaction of Drosophila SMN1 orthologue with pathogenic SCA8 associated neurodegeneration. Intriguingly, SMN protein modulated molecular neuropathogenesis associated with SCA8. The presence of orthologues of Drosophila RNA binding proteins, dLarp7 and SMN, with mammalian counterparts underlines the translational importance of our findings. Our study also hints at the shared molecular mechanisms that underlies multiple neurodegenerative diseases. A novel association of Drosophila homologs of AS-linked Larp7 and SMA-causing SMN1 with SCA8 associated neurodegeneration suggests an overlap of molecular threads underlying the pathogenesis of neurodegenerative disorders.

neuroscience↗

Mini-agrin prevents calcium leakage and restores the dystrophin complex.

Muscle cell death in muscular dystrophies depends upon calcium ion (Ca++) leakage through sarcolemma and sarcoplasmic reticulum, triggered by muscle stretch during eccentric contraction. We show here that Ca++ spikes are detected in dystrophic myogenic cells in culture since early differentiation, before sarcomere assembly and contraction. Healthy and genetically corrected dystrophic myotubes do not display Ca++ spikes which are blocked by co-culturing DMD myogenic cells with embryonic mouse motoneurons or treating them with agrin proteoglycan. Same effect is elicited by a muscle spliced, COOH peptide of agrin (termed here mini-agrin) that interacts with dystroglycan, favouring its binding to the basal lamina. Lack of dystrophin in DMD myotubes results in decreased expression of CaV1.1 (CACNA1S), a Ca++ sensor component of the Dihydropyridine Receptor (DHPR) complex, known to regulate Ryanodine Receptor 1 (RyR1). These events explain the emergence of Ca++ spikes. Mini-agrin addition to medium, or lentivector-mediated mini-agrin expression in transplanted cells in vivo, stabilize the expression of CaV1.1 on the membrane. This leads to disappearance of Ca++ spikes and to reappearance of -dystroglycan, -sarcoglycan and n-NOS, indicating the reconstitution of the dystrophin complex in the absence of dystrophin. These findings unveil a novel regulatory mechanism and offer a new therapeutic opportunity for targeting calcium ion influx as a co-treatment strategy.

cell biology↗

RNA switch model for localization and translation of the myelin basic protein mRNA

Oligodendrocytes myelinate the central nervous system by extending cellular projections that ensheath axons and elongate to form lipid-rich myelin. Classic studies visualizing RNA dynamics showed that myelin basic protein (MBP), one of the most abundant myelin proteins, is locally synthesized at the myelin sheath through the transport and local translation of Mbp mRNA. Mbp transport requires its 1.5-kb 3 untranslated region (3 UTR) and prior work identified candidate sub-sequences that may act as cis-acting transport stimulating RNA elements, including one with putative secondary structure. Here, a high-throughput reporter assay, dimethyl sulfate (DMS)-based RNA structure probing, and microscopy in primary rat oligodendrocytes identify a structured 127-nt region that we name the Mbp localization signal (MLS) as both necessary and sufficient for RNA enrichment to oligodendrocyte projections. Lysate pulldown experiments further identify hnRNP-F - a known constituent of the Mbp RNA granule that can suppress mRNA translation - as associated with the MLS; paradoxically, binding of this protein should compete with the ordered MLS RNA structure. These results suggest a model in which the MLS switches between two RNA conformations with distinct protein partners during the transition from Mbp mRNA transport to Mbp translation at the myelin sheath. Such regulation of RNA behavior by structure switching may generalize to other eukaryotic mRNAs whose behaviors shift across space and time. Significance StatementIn the brain, oligodendrocyte cells generate myelin, a type of insulation that wraps around neuronal axons in order to facilitate fast electrical signaling. A critical step in myelination is the local translation of MBP (myelin basic protein) in the myelin sheath. This requires the transport of Mbp mRNA, an incompletely understood phenomenon that we revisit using two recent approaches for mRNA structure and function. We refine a 127-nt region that is necessary and sufficient for mRNA transport to the myelin sheath. A proteomic screen reveals that this myelin localization signal (MLS) associates with a translation-suppressing protein called hnRNP-F, suggesting a model where Mbp mRNA switches between two states, one for transport and one for translation at the myelin sheath.

cell biology↗

ULK1/2 Inhibitors that Degrade ATG13 Effectively Target KRAS-Mutant Cancers

KRAS mutations drive tumorigenesis in multiple cancer types, including lung and pancreatic cancer. Autophagy is a cell survival pathway that supports tumor growth under metabolic stress and has been proposed to be a potential therapeutic avenue specifically in KRAS mutant cancers. The Unc-51-like ATG-activating kinases 1 and 2 (ULK) initiate the earliest regulated steps of autophagy and are the only protein kinases in the canonical autophagy pathway, thus making them attractive therapeutic targets for KRAS mutant tumors. We show here that genetic depletion of ULK1 or ATG13, core components of the ULK1 complex, in KRAS mutant lung and pancreatic cancer cell lines results in growth inhibition. Previously, we developed small molecule ULK1 inhibitors that not only inhibit ULK kinase activity but also induced the degradation of other core members of the ULK complex including ATG101 and ATG13. Therefore, we developed a high-throughput screening (HTS) assay in which ATG13 was HiBiT-tagged in KRAS mutant lung cancer cells to evaluate ULK inhibitors for ATG13 degradation. Using this approach, we discovered a lead ULK inhibitor, SBP-1750, that potently inhibited ULK activity, promoted robust ATG13 degradation, impaired ATG, and induced KRAS mutant cancer cell death. Studies in a KRAS-mutant orthotopic syngeneic pancreatic cancer model show that oral treatment with SBP-1750 significantly reduced tumor growth. Pharmacokinetic analysis of SBP-1750 indicates favorable drug exposure and pharmacodynamic analysis confirms ATG13 degradation in vivo, mirroring in vitro results. Finally, immunohistochemical staining of orthotopic pancreatic tumors reveals a significant increase in CD4 and CD8 T cell infiltration upon treatment, suggesting that SBP-1750 enhances anti-tumor immunity. These findings support further development of SBP-1750 as a novel ATG-targeting cancer therapy.

cancer biology↗

Unravelling drug resistant proteotypes through phenotype-resolved proteomics of single-cell derived colonies

Drug resistance remains a major cause of treatment failure and disease progression and is closely linked to intratumoral heterogeneity. Mass spectrometry (MS)-based single-cell proteomics (SCP) can resolve drug-resistant cell states, but current methods lack clonal and phenotype information and are often confounded by cell-cycle and cell-size effects. Here, we introduce PhenoSCoP, a microscopy-guided discovery proteomics framework that profiles single-cell-derived colonies to map proteomic heterogeneity while preserving clonal origin and image-defined phenotypes. In head and neck squamous cell carcinoma models, PhenoSCoP distinguished heritable clone-intrinsic cisplatin (CP) response programs from adaptive treatment-induced changes, uncovered pre-existing resistant-like proteotypes in treatment-naive populations, and identified an NDUFB11-associated mitochondrial vulnerability in a resistant clone. In patient-derived primary HNSCC cells, CP-tolerant cells resolved into two proteomic states with distinct phenotypes and high or low S100A7/A8/A9 expression. These programs were also detected in HNSCC patient tissues and, in an illustrative matched progression case, increased across metastatic sites. PhenoSCoP therefore provides a phenotype-resolved framework for discovering stable and adaptive proteotypes associated with therapeutic response.

systems biology↗

Genome-wide CRISPR screens identify PTGES3 as a novel AR modulator

The androgen receptor (AR) is a critical driver of prostate cancer (PCa). To study regulators of AR protein levels and oncogenic activity, we created the first live cell quantitative endogenous AR fluorescent reporters. Leveraging this novel AR reporter, we performed genome-scale CRISPRi flow cytometry sorting screens to systematically identify genes that modulate AR protein levels. We identified and validated known AR protein regulators including HOXB13 and GATA2 and also unexpected top hits including PTGES3, a poorly characterized gene in PCa. PTGES3 repression resulted in loss of AR protein, cell cycle arrest, and cell death in AR-driven PCa models. PTGES3 is not a commonly essential gene, and our data nominate it as a prime PCa therapeutic target. Clinically, analysis of PCa data demonstrate that PTGES3 expression is associated with AR-directed therapy resistance. Mechanistically, we show PTGES3 binds directly to AR, forms a protein complex with AR in the nucleus, regulates AR protein stability in vitro and in vivo and modulates AR function in the nucleus at AR target genes. PTGES3 represents a novel therapeutic target for overcoming known mechanisms of resistance to existing AR-directed therapies in PCa.

cancer biology↗

Assessment of Protein Complex Predictions in CASP16: Are we making progress?

The assessment of oligomer targets in the Critical Assessment of Structure Prediction Round 16 (CASP16) suggests that complex structure prediction remains an unsolved challenge. More than 30% of targets, particularly antibody-antigen targets, were highly challenging, with each group correctly predicting structures for only about a quarter of such targets. Most CASP16 groups relied on AlphaFold-Multimer (AFM) or AlphaFold3 (AF3) as their core modeling engines. By optimizing input MSAs, refining modeling constructs (using partial rather than full sequences), and employing massive model sampling and selection, top-performing groups were able to significantly outperform the default AFM/AF3 predictions. CASP16 also introduced two additional challenges: Phase 0, which required predictions without stoichiometry information, and Phase 2, which provided participants with thousands of models generated by MassiveFold (MF) to enable large-scale sampling for resource-limited groups. Across all phases, the MULTICOM series and Kiharalab emerged as top performers based on the quality of their best models per target. However, these groups did not have a strong advantage in model ranking, and thus their lead over other teams, such as Yang-Multimer and kozakovvajda, was less pronounced when evaluating only the first submitted models. Compared to CASP15, CASP16 showed moderate overall improvement, likely driven by the release of AF3 and the extensive model sampling employed by top groups. Several notable trends highlight key frontiers for future development. First, the kozakovvajda group significantly outperformed others on antibody-antigen targets, achieving over a 60% success rate without relying on AFM or AF3 as their primary modeling framework, suggesting that alternative approaches may offer promising solutions for these difficult targets. Second, model ranking and selection continue to be major bottlenecks. The PEZYFoldings group demonstrated a notable advantage in selecting their best models as first models, suggesting that their pipeline for model ranking may offer important insights for the field. Finally, the Phase 0 experiment indicated reasonable success in stoichiometry prediction; however, stoichiometry prediction remains challenging for high-order assemblies and targets that differ from available homologous templates. Overall, CASP16 demonstrated steady progress in multimer prediction while emphasizing the urgent need for more effective model ranking strategies, improved stoichiometry prediction, and the development of new modeling methods that extend beyond the current AF-based paradigm.

biophysics↗

Identification and Characterization of PLUTO-201, a Novel Long Non-Coding RNA Associated with Poor Outcomes in Prostate Cancer

Background: Despite extensive investigation, the factors promoting aggressive prostate cancer are poorly understood. In particular, despite a few prominent examples, the role of long non-coding RNAs (lncRNAs) is largely unknown. Methods: We performed a comprehensive analysis of whole-genome transcriptome data to identify differential expression across 1,567 patients with prostate cancer, then correlated differential expression with risk of metastatic recurrence. We characterized the lncRNA most associated with metastasis in vitro and in vivo to investigate the mechanism by which it promotes aggressive prostate cancer. Results: We have identified a novel lncRNA, Prostate Cancer Associated hnRNPK Interacting Transcript (PCAHIT), which is strongly associated with metastasis and poor overall survival in men with prostate cancer. We find that overexpression/knockdown of PCAHIT in pre-clinical models of prostate cancer modulates proliferation rates and markers of an aggressive phenotype through regulation of steroid biosynthesis and expression of the MHC class I complex, driving increased growth in androgen-depleted conditions and decreased susceptibility to T cell-mediated cytotoxicity. We further find that the heterogeneous nuclear ribonucleoprotein hnRNPK directly binds PCAHIT and is indispensable for its activity. Conclusions: Overall, our findings indicate that PCAHIT is a driver of aggressive prostate cancer phenotypes and poor clinical outcomes through suppression of the immune response and increased androgen-independent cancer growth. PCAHIT is a potential biomarker of aggressive disease.

cancer biology↗

Controlling the morphologies and dynamics in three-dimensional tissues

A number of factors, such as, cell-cell interactions and self-propulsion of cells driven by cytoskeletal forces determine tissue morphologies and dynamics. To explore the interplay between these factors in controlling the dynamics at the tissue scale, we created a minimal three dimensional model in which short-range repulsive elastic forces account for cell-cell interactions. Self-propulsion is modeled as active uncorrelated random stochastic forces, with strength {micro}, that act on individual cells and is the only source of cell motility. Strikingly, variations in polydispersity in cell size ({Sigma}) and cell elasticity (E), results in the formation of a variety of distinct "phases", driven entirely by {micro} . At low E, the tissue behaves like a liquid, at all values of {Sigma}, whereas at high E and {Sigma}, it has the characteristics of a glass. The tissue crystallizes at low {Sigma} provided E exceeds a critical value. Over a narrow range of E and {Sigma}, that lies between the boundaries of the liquid and glass phase, the effective viscosity increases like in a glass as the cell density increases and saturates as the cells are compressed beyond a certain value, creating the viscosity saturation (VS) phase. The VS phase does not form in systems at finite temperature in which the dynamics satisfies the Fluctuation Dissipation Theorem. In the glass phase, the tissue exhibits aging (relaxation times depend on the waiting time) behavior at high E values. Our findings provide a framework for designing tissues with tunable material properties by controlling the physical characteristics of cells.

biophysics↗

Assessment of nucleic acid structure prediction in CASP16

Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full array of nucleic acid functions, from dopamine binding by DNA to formation of elaborate RNA nanocages, were submitted by 65 groups from 46 different labs worldwide. In contrast to concurrent protein structure predictions, performance on nucleic acids was generally poor, with no predictions of previously unseen natural RNA structures achieving TM-scores above 0.8. Even though automated server performance has improved, all top-performing groups were human expert predictors: Vfold, GuangzhouRNA-human, and KiharaLab. Good performance on one template-free modeling target (OLE RNA) and accurate global secondary structure prediction suggested that structural information can be extracted from multiple sequence alignments. However, 3D accuracy generally appeared to depend on the availability of closely related 3D structure templates, and predictions still did not achieve consistent recovery of pseudoknots, singlet Watson-Crick-Franklin pairs, non-canonical pairs, or tertiary motifs like A-minor interactions. For the first time, blind predictions of nucleic acid interactions with small molecules, proteins, and other nucleic acids could be assessed in CASP16. As with nucleic acid monomers, prediction accuracy for nucleic acid complexes was generally poor unless 3D templates were available. Accounting for template availability, there has not been a notable increase in nucleic acid modeling accuracy between previous blind challenges and CASP16.

biophysics↗

Molecular Basis of Ionic Suppression of ZAP-70 Dependent T Cell Receptor Activation

Ionic imbalance in the tumor microenvironment alters the tumor-infiltrating T lymphocyte function. High extracellular K+ suppresses T cell function by negatively regulating T cell receptor (TCR) signaling. In contrast, elevated extracellular Na+ enhances T cell effector function by boosting the phosphorylation of TCR signaling modules. Here, we presented a mechanism explaining how the two monovalent cations differently regulate TCR function. At rest, high intracellular K+ uncouples allosteric recruitment of ZAP-70, a key signaling module, to the TCR complex. The formation of antigen TCR complex induces K+ efflux, causing spontaneous recruitment of ZAP-70 to the TCR. Increasing extracellular K+ perturbs K+ efflux and slows ZAP-70 recruitment to the TCR complex, even upon antigen binding. This leads to defects in T cell development and arthritis-like symptoms in juvenile mice. We conclude that K+ dynamics is integral to T cell ligand discrimination and fundamental to turning off the signaling during T cell quiescence.

immunology↗

Functional relevance of CASP16 nucleic acid predictions as evaluated by structure providers

Accurate biomolecular structure prediction enables the prediction of mutational effects, the speculation of function based on predicted structural homology, the analysis of ligand binding modes, experimental model building and many other applications. Such algorithms to predict essential functional and structural features remain out of reach for biomolecular. Here, we report quantitative and qualitative evaluation of nucleic acid structures for the CASP16 blind prediction challenge by 12 of the experimental groups who provided nucleic acid targets. Blind predictions accurately model secondary structure and some aspects of tertiary structure, including reasonable global folds for some complex RNAs, however, predictions often lack accuracy in the regions of highest functional importance. All models have inaccuracies in non-canonical regions where, e.g., the nucleic-acid backbone bends or a base forms a non-standard hydrogen bond. These bends and non-canonical interactions are integral to form functionally important regions such as RNA enzymatic active sites. Additionally, the modeling of conserved and functional interfaces between nucleic acids and ligands, proteins, or other nucleic acids remains poor. For some targets, the experimental structures may not represent the only structure the biomolecular complex occupies in solution or in its functional life-cycle, posing a future challenge for the community.

biophysics↗

Extracellular Matrix Reorganization During Endometrial Decidualization

Extracellular matrix reorganization, a concurrent process of endometrial decidualization, has garnered widespread recognition. However, our understanding of this process remains limited. In this study, we aimed to investigate the expression, spatial distribution, and reorganization of fibrillar collagens, elastin, and lysyl oxidases within the decidua. Using second harmonic generation imaging, we successfully recorded fibrillar collagen reorganization between preimplantation and decidualized endometrium. Upon embryo implantation, the fibrillar collagens align themselves parallel to the direction of embryo invasion. Furthermore, we employed confocal imaging analysis to reveal distinct expression and spatial distribution patterns of elastin and lysyl oxidase-like enzymes. Elastin expression begins to manifest surrounding the implanting embryo, extends into the decidua, and exhibits a high concentration in the mesometrial region after gestation day 8. All lysyl oxidase-like enzymes are localized within the decidua, although they exhibit varying expression patterns. To gain further insights, we utilized an in vitro stromal cell decidualization model and provided compelling evidence that stromal cells serve as the primary source of the extracellular matrix components during endometrial decidualization. Additionally, we demonstrated that the genes encoding factors involved in the synthesis, processing, and assembly of fibrillar collagen and elastic fibers exhibit differential expression patterns during in vitro decidualization. Genes such as asporin, decorin, thrombospondin 2, fibulin 2, fibulin 5, and lysyl oxidase show significant induction during in vitro decidualization. In summary, our comprehensive analysis provides a detailed evaluation of the expression, spatial distribution, and reorganization of fibrillar collagens, elastin, and lysyl oxidases during the process of endometrial decidualization. Summary SentenceFibrillar collagen, elastic fibers, and lysyl oxidases, synthesized by endometrial stromal cells, exhibit distinct spatial distributions and reorganization patterns within the decidua during embryo implantation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/644728v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@11314c1org.highwire.dtl.DTLVardef@1b7ae54org.highwire.dtl.DTLVardef@1641feorg.highwire.dtl.DTLVardef@146b1b8_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗