Biology subjects

Chen, A.

Publications and source records attributed to Chen, A..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

The Human Hippocampus Is Involved in Auditory Short-Term Memory Trace Formation

The human hippocampus has been claimed to play an important role in long-term memory, or episodic memory, but its contribution to short-term memory remains debated. Here, we demonstrate human hippocampal involvement in auditory short-term memory (ASTM) trace formation. We used a classic oddball paradigm and intracranial recordings across various human brain areas. High frequency activities evoked by deviant stimuli in subjects indicate the generation of ASTM trace. Analysis of auditory response latencies across the hippocampus, insula, and temporal, parietal, and frontal lobes revealed the early processing of ASTM trace at a pre-attention stage. Granger causality analysis further showed that ASTM trace processing engages hierarchical cortical areas and clarified their interactions. Bottom-up signals flow from the insula and auditory temporal regions to the frontal lobe early on, followed by top-down information from the frontal lobe to the hippocampus, inferior temporal lobe, and insula at a later pre-attentive stage. Critically, Bayesian model selection of dynamic causal modeling revealed that deviant stimuli selectively enhanced the effectiveness of top-down connections to the hippocampus, thereby facilitating ASTM trace formation. These results provide compelling evidence that the human hippocampus contributes to auditory short-term memory at a pre-attention stage and suggests a challenge to entrenched beliefs in the classification of memory systems.

neuroscience↗

bioRxiv2025

Improved Estimation of Correlation Accuracy for Machine Learning Brain-Phenotype Associations

Machine learning is used in neuroscience to examine brain-phenotype associations and facilitate individual prediction from high-dimensional brain imaging. For continuous phenotypes, Pearsons correlation between the observed and predicted phenotype is used to quantify model accuracy in testing data. However, recent research suggests millions of samples may be needed to reliably estimate the maximum achievable predictive accuracy (MAPA). We formally define the MAPA and show that Pearsons estimator is biased for this quantity and its confidence intervals fail to capture the target. We develop a semiparametric (double machine learning) one-step estimator that more accurately estimates the MAPA and yields valid confidence intervals across flexible machine learning settings. Analyzing data from the Reproducible Brain Charts dataset, we show that this estimator has smaller bias when estimating brain-phenotype associations of neuroimaging data with age and psychopathology phenotypes. We show that MAPA for psychopathology factor scores using machine learning models built on structural and functional imaging measures is not better than using demographic and nuisance covariates alone.

neuroscience↗

bioRxiv2025

Computational design of cysteine proteases

Despite advances in de novo enzyme design, success has been largely limited to low energy barrier model reactions. Amide bonds such as those linking amino acids along the peptide backbone are stable for hundreds of years in neutral aqueous solution because of the high energy barrier to hydrolysis. Here we describe the de novo design of enzymes which utilize an activated cysteine nucleophile to hydrolyze the polypeptide backbone in a sequence-dependent manner, with a success rate of 13/69=19% and rate enhancements over the background reaction (kcat/kuncat) of up to 3 x 10^7. The designed proteases have folds very different from proteases in nature (TM score < 0.50), and six crystal structures are very close to the design models (Ca RMSDs < 1.2 A), highlighting the capacity for generalization and the accuracy of the design methodology. Experimental and computational analyses suggest that the remaining gap in activity to the most active native cysteine proteases arises from imperfections in active site preorganization and substrate positioning. The designed proteases efficiently cleave their targets in mammalian cells, opening the door to a wide range of synthetic biology applications.

biochemistry↗

bioRxiv2025

Computational design of metalloproteases

Although significant progress has been made in creating de novo metalloenzymes that hydrolyze activated esters, the energetically demanding cleavage of amide bonds has remained a major challenge for enzyme design: amide bonds are significantly more stable than ester bonds, the amine leaving groups in proteins are not activated, and peptide substrates are flexible making them difficult to bind precisely. Here, we report the de novo design of zinc proteases from minimal catalytic motifs using RoseTTAFold Diffusion 2 for Molecular Interfaces, optimized for both enzyme and protein-protein interaction design. Of 135 computational designs experimentally tested, 36% had activity and cleaved precisely at the intended site. The most active design accelerates peptide bond hydrolysis by more than 10^8-fold relative to the uncatalyzed reaction, and by over 10^10-fold following the introduction of four point mutations that enhanced active-site preorganization4. Building on these capabilities, we designed metalloproteases that specifically cleave human TDP-43, the amyloid-{beta} peptide, and serum amyloid A with rate accelerations up to 9.2x10^8-fold over background. We illustrate the potential of our approach for bio-orthogonal control over cell state by generating caged cytokines and caged receptor antagonists that are selectively unmasked by our designed proteases. These results demonstrate that de novo enzyme design has advanced well beyond model reactions with activated substrates and open the door to design of proficient metallohydrolases for a wide range of applications in medicine and bioremediation.

biochemistry↗

bioRxiv2025

A unified genetic perturbation language for human cellular programming

Evolution simultaneously and combinatorially explores complex genetic changes across perturbation classes, including gene knockouts, knockdowns, overexpression, and the creation of new genes from existing domains. Separate technologies are capable of genetic perturbations at scale in human cells, but these methods are largely mutually incompatible. Here we present CRISPR-All, a unified genetic perturbation language for programming of any major type of genetic perturbation simultaneously, in any combination, at genome scale, in primary human cells. This is enabled by a standardized molecular architecture for each major perturbation class, development of a functional syntax for combining arbitrary numbers of elements across classes, and linkage to unique single cell compatible barcodes. To facilitate use, CRISPR-All converts high level descriptions of desired complex genetic changes into a single DNA sequence that can rewire genomic programs within a cell. Using the CRISPR-All language allowed for head-to-head functional comparisons across perturbation types in a comprehensive analysis of all previously identified genetic enhancements of human CAR-T cells. Combining CRISPR-All programs with single cell RNA sequencing revealed a greater diversity of phenotypic states, including improved functional performance, only accessible through distinct perturbation classes. Finally, CRISPR-All combinatorial genome scale screening of up to four distinct perturbations simultaneously revealed additive functional improvements in human T cells accessible only through iterative multiplexing of modifications across perturbation classes. CRISPR-All enables exploration of a combinatorial genetic perturbation space, which may be impactful for biological and clinical applications.

genetics↗

bioRxiv2025

Immunomodulatory Functions of Intercalated Cells in Kidney Autoimmunity

Various autoimmune diseases frequently cause both acute and chronic kidney injuries through complex mechanisms involving autoantibodies and cellular immune responses that result in tissue damage. Intercalated cells (ICs), specialized renal tubular epithelial cells responsible for proton secretion, are strategically positioned at the epithelial-immune interface, making them ideal sensors of stress signals and potential triggers of immune responses. This study investigates the molecular mechanisms by which ICs interact with immune cells to maintain renal immune homeostasis and contribute to the development of autoimmune kidney disease. We depleted Foxp3 regulatory T cells (Tregs) by injecting diphtheria toxin (DT) into male and female Foxp3-DTR mice. Two weeks after depletion, we observed autoimmune inflammation marked by increased renal immune infiltration, including neutrophils, macrophages, and subsets of T and B cells, along with the formation of ectopic lymphoid-like structures and enhanced antigen presentation. We found higher levels of renal autoantibodies in urine and serum, with antibodies depositing in glomeruli and tubules. Our analysis identified several renal antigens targeted by autoantibodies, suggesting their potential role in antibody-mediated renal injury. Kidney damage included smaller glomeruli, proximal tubular injury, an increased urine albumin/creatinine ratio, and decreased urine output. Disruption of immune tolerance led to the upregulation of inflammasome-related genes and IL-33 in ICs, which acts as a key alarmin signaling damage and promoting activation and expansion of Tregs. Our findings uncover a novel IC-Treg interaction mediated by the IL-33 pathway, revealing immune-regulating mechanisms that support renal immune tolerance. Although Tregs were initially depleted, a significant rebound in their numbers and function occurred. Understanding the cellular and molecular mechanisms behind autoimmune renal injury is crucial for developing targeted therapies and identifying appropriate biomarkers.

immunology↗

bioRxiv2025

An infusible decellularized extracellular matrix material binds to vasculature in infarcted myocardium and induces pro-reparative gene expression following acute myocardial infarction through inherent avidity and bioactive signaling

To treat acute myocardial infarction immediately after reperfusion, we previously engineered an intravascularly infusible decellularized extracellular matrix (iECM) biomaterial that exerts immunomodulatory and pro-reparative effects. However, the impact of the heterogeneous contents of iECM on infarct localization and downstream biological function is unknown. Using liquid chromatography, iECM is separated into a high molecular weight (MW) and low MW component. Mass spectrometry confirms compositional similarity, while biochemical assays and transmission electron microscopy highlight differences in biochemical features and structure, revealing a nanofibrillar high MW component and a globular peptide low MW. Quartz crystal microbalance studies show binding of each component to basal lamina ECM proteins and endothelial cell surface receptors under flow, demonstrating the specificity of ECM biomaterials to permeable vasculature. In vivo, the low MW component reduces vascular permeability, while neither component alone achieves the retention levels of complete iECM. Using single-nucleus RNA sequencing to probe bioactivity, both components elicited comparable angiogenic, immunomodulatory, and pro-reparative transcriptional programs. These findings illustrate that highly coupled materials and biological characterization uncover fundamental behaviors and properties of iECM biomaterials. Additionally, we show the unique binding behavior of iECM to the gaps of permeable vasculature, which could be exploited for future nanomaterial design.

bioengineering↗

bioRxiv2025

Postoperative Automated Platelet Count and Its Predictive Factors in Dogs Undergoing Mitral Valve Repair

ObjectivesThis study aimed to describe early postoperative changes in automated platelet counts (PLT) after mitral valve repair (MVR) in dogs with myxomatous mitral valve disease (MMVD) and to identify factors associated with these changes. DesignSingle-center retrospective cohort study. AnimalsDogs with MMVD that underwent MVR from July 2022 to July 2023. After data extraction, the ten most common breeds were selected, and mixed breeds as well as breeds known for inherent platelet abnormalities (Cavalier King Charles Spaniels and Norfolk Terriers) were excluded. Measurements and Main ResultsA total of 313 dogs representing seven breeds met the inclusion criteria. PLT levels were assessed preoperatively (Day 0) and daily for 4 days postoperatively (Days 1-4). Mean (standard deviation) PLT values were 393{+/-}127 x103/{micro}L on Day 0, 159{+/-}72 on Day 1, 137{+/-}67 on Day 2, 157{+/-}87 on Day 3, and 187{+/-}104 on Day 4. Postoperative thrombocytopenia (<100 x103/{micro}L) occurred in 124 of 313 dogs during Days 1-4. In a multivariable mixed-effects model, PLT declined significantly after surgery (Day 0 to 1; {beta} = -207.17 [x103/{micro}L per day], P < 0.001) and showed a postoperative upward trend (Day 1 to 4; {beta} = 20.62 [x103/{micro}L per day], P = 0.079). Older age was associated with higher PLT; Toy Poodles and Yorkshire Terriers demonstrated lower PLT than Chihuahuas; dogs with ACVIM Stages C- D had higher PLT compared with Stage B2; lower body weight correlated with lower PLT; and intact dogs tended to have higher PLT than neutered dogs. ConclusionsPLT decreased sharply following MVR and demonstrated partial recovery within 5 days. Age, breed, clinical stage, body weight, and neuter status were associated with postoperative PLT patterns, indicating their importance for perioperative assessment and monitoring.

physiology↗

bioRxiv2025

Infusible Extracellular Matrix Biomaterial Enhances Cell-Specific Pro-Repair Responses Following Acute Myocardial Infarction

To mitigate the pathological effects of myocardial infarction, we developed and investigated pro-reparative decellularized extracellular matrix (ECM) biomaterials: an intravascularly infusible ECM (iECM). However, the cellular and molecular mechanisms by which iECM mediates repair are unknown because investigations have relied on bulk techniques. Here, we leverage single nucleus RNA sequencing (snRNAseq) to measure pro-repair in various cell types across acute timepoints (1, 3 and 7 days post infusion). In iECM, we found pro-reparative macrophage activation, fibroblast remodeling, increased vasculaure development, lymphangiogenesis, cardioprotection, and neurogenesis. These findings were validated through spatial transcriptomics. Thus, we define the pro-reparative nature of decellularized ECM biomaterials on cardiac cell types and elucidate previously undiscovered therapeutic pathways, further demonstrating the potential of iECM as an MI therapy as well as display the wealth of data generated from next-generation sequencing.

bioengineering↗

bioRxiv2025

CellBin:a generalist framework to process spatial omics data to cell level

Spatial omics has rapidly expanded with increasingly diverse imaging modalities, molecular targets, and chip sizes. However, no general framework currently exists to construct cell level matrices that are robust across platforms and omics types. Here we present CellBin, a universal and scalable frame-work that unifies image stitching, cell segmentation, and spot-to-cell mapping for multiple spatial omics technologies. CellBin integrates a multi-field weighted stitching algorithm for large-area images, a family of U-Net-based models trained across diverse staining modalities, and an optimized computational architecture for high-throughput processing. Across five technological platforms and three omics data types, CellBin achieves robust segmentation and accurate single-cell matrix construction, consistently outperforming seven state-of-the-art methods in F1-score, cell size precision, and annotation accuracy. By providing a generalizable, cross-platform solution, CellBin bridges multiple spatial omics, enabling unified, high-resolution cell level analyses across technologies.

bioinformatics↗

bioRxiv2025

Endothelial Adgrl2 expression and alternative splicing controls the cerebrovasculature

Central nervous system development requires parallel but interrelated processes of neural circuit assembly and vascularization. Intersecting between these two processes, the cell-adhesion G-protein coupled receptor Adgrl2 is expressed in select neuron populations where it has been found to localize and control the assembly of specific synaptic sites. Further, Adgrl2 is found to be expressed in select non-neuronal brain cells, where it is restricted to endothelial cells. Testing for Adgrl2 function in these cells, here we find that endothelial cell specific Adgrl2 deletion results in an impairment in cerebrovascular integrity. To understand how it might be possible for Adgrl2 to function independently in neuronal and endothelial contexts, we analyzed single-cell RNA sequencing datasets for differences in transcriptional identity between these cell classes. Doing so, we find that expression of Adgrl2 mRNA is subject to robust cell type-specific alternative splicing, resulting in distinct isoforms being produced in neurons compared to endothelial cells. Investigating the functional implication of this cell type-specific alternative splicing, we find that forced expression of the neuronal isoform of Adgrl2 in endothelial cells leads to alterations in cerebrovascular properties. Morphologically, endothelial cells with the non-native neuronal Adgrl2 isoform induce the formation of ectopic glutamatergic synaptic contacts onto endothelial cells, indicating alterations in the cell-cell recognition process. Functionally, in direct contrast to endothelial Adgrl2 deletion, this genetic expression switch instead enhances blood-brain barrier integrity. This overly restrictive cerebrovascular function results in dysregulation of blood to cerebrospinal fluid homeostasis, enlargement of brain ventricles, and a higher risk of hydrocephalus. As such, alternative splicing serves as a cell type specific mechanism that provides isoform specific Adgrl2 for discerning functions controlling neural circuit assembly and cerebrovascular homeostasis.

neuroscience↗

bioRxiv2025

AEBP2-Directed H3K27me2 Defines a Specific Vulnerability in EZH2-mutant Lymphoma

The catalytic subunit of Polycomb Repressive Complex 2 (PRC2), EZH2, is recurrently mutated in 25% of diffuse large B-cell lymphomas (DLBCL), causing increased H3K27me3 and decreased H3K27me2 levels. EZH2 inhibitors provide clinical benefit, but resistance frequently develops, highlighting the need for alternative therapeutic targets. Here, we identify the PRC2 accessory protein AEBP2 as a specific genetic dependency in EZH2-mutant DLBCL. While AEBP2 acts through PRC2, its essential role is surprisingly independent of canonical H3K27me3-mediated gene silencing. Instead, AEBP2 functions within a PRC2.2 complex lacking JARID2, using its zinc-finger domains to sample intergenic chromatin to sustain H3K27me2. Notably, loss of AEBP2 or NSD2 caused contrasting changes in intergenic H3K27me2 levels, driving sensitivity or resistance to PRC2 inhibitors, respectively. Our findings identify AEBP2-PRC2.2-maintained intergenic H3K27me2 as a therapeutic vulnerability in EZH2-mutant DLBCL and highlight dysregulated H3K27me2 as an underappreciated form of PRC2 dysfunction in cancer, with important therapeutic implications.

cancer biology↗

bioRxiv2025

Identifying viable radiation dose ranges to balance competing objectives of tumor response and off-target toxicity

11.1 BackgroundRadiotherapy (RT) is a localized therapy used to treat approximately 50% of all cancer patients and 75% of head and neck cancer (HNC) patients. Despite tumor response to RT, off-target effects to surrounding organs at risk (OAR) can result in toxicities that exacerbate patient symptoms and necessitate interventions such as tube feeding. While current models of normal tissue complication probability (NTCP) can account for complex OARs-symptoms interactions, they only allow for dichotomous outcomes without consideration of graded response. Polytomous patient-reported outcomes (PROs), collected via patient surveys, capture patients experience of their symptoms throughout treatment. Unfortunately, such measures are rarely incorporated when modeling treatment-related toxicities. 1.2 PurposeIn this study, we aimed to develop a model of NTCP to recapitulate population-level PRO dynamics from a published dataset and explore response and cross-toxicity trade-offs in HNC. 1.3 MethodsWe employed the classical linear-quadratic dose-response model to describe tumor response to RT with logistic growth. As a surrogate for normal tissue damage, we modeled absorbed dose kinetics to individual OARs (buccal mucosa, oral cavity, superior pharyngeal constrictor muscle (sPCM), and body) using a one-compartment pharmacokinetic model with linear elimination. We then employed a minimal inhomogeneous continuous-time Markov chain model (with tumor size and absorbed dose as time-varying covariates) to describe PRO dynamics (oral pain, dysphagia, weight loss, and tube feeding, measured on the EORTC-HN35 scale). We modeled symptom-specific NTCP as the cumulative incidence of severe symptom. Finally, we explored various response-toxicity and toxicity-toxicity trade-offs with respect to dose, OAR sparing, and fractionation. 1.4 ResultsThe developed mathematical model recapitulated the qualitative features of the motivating published dataset, including 1) a transient reduction of a subset of symptoms for 1-2 weeks; followed by 2) an acute exacerbation of symptoms throughout the rest of RT; followed by 3) a long-term relaxation of symptoms to below baseline levels. Response-toxicity trade-offs were sensitive to dose, variably sensitive to OAR sparing (dependent on OAR-symptom associations), and sensitive to fractionation. Toxicity-toxicity trade-offs were insensitive to dose, sensitive to OAR sparing, and insensitive to fractionation. 1.5 ConclusionsOverall, this mathematical model addresses some of the limitations of current NTCP models by explaining graded toxicity dynamics. By integrating both tumor control and quality of life considerations into a singular model, recommendations of dose, OAR sparing, and fractionation can be made. Future iterations of the model could aid clinicians in RT dose-finding and selecting a RT plan that will optimize tumor control and patients quality of life.

cancer biology↗

bioRxiv2025

Barium titanate piezoelectric nanoparticles induce M1 polarization in mouse macrophages via ultrasound in vitro

Macrophages are critical for the maintenance of immune system homeostasis. They differentiate into distinct functional populations, from pro-to anti-inflammatory phenotype, exhibiting remarkable biological plasticity and responding to both chemical and physical cues to achieve these phenotypes. Controlling macrophage cell phenotypes in vivo, with temporal and spatial control, could have significant impact on a wide range of human diseases and ailments associated with inflammation, which range from rheumatoid arthritis and Alzheimers to cancer tumorigenesis. Piezoelectrics, materials in which pressure causes a voltage and vice versa, represent a potential platform for non-invasive and remote modulation of cells and tissues and, in particular, control of immune cell activation. Here, it is demonstrated that RAW264.7 mouse macrophage cells that have taken up piezoelectric nanoparticles (pzNPs) specifically adopt an M1 cellular phenotype and requisite calcium ion influx upon ultrasound stimulation. One can further identify which cells have taken up pzNPs and which cells adopt an M1 polarization in mixed populations of pzNP-loaded and -unloaded cells. The overall goal is to leverage this novel cellular assay to help improve understanding of how biological cells respond to bioelectric stimulation.

biophysics↗

bioRxiv2025

Depletion of CX3CR1+ macrophages results in disrupted functionality and immune surveillance within epididymis and testis

A finely tuned immune regulation within the epididymis and testis is essential for male reproductive health. This balance is especially critical in the epididymis, where sperm mature and ascending infections frequently disrupt homeostasis, resulting in regionally different immune responses and potential long-term fertility impairments. We previously demonstrated that the epididymis harbors a region-specific immunological scaffold, with CX3CR1+ macrophages as the most prominent epithelium-associated immune cell population. Here, we established a transgenic mouse model to selectively deplete these intraepithelial CX3CR1+ macrophages within the epididymis, resulting in focal epithelial damage and impaired sperm maturation processes essential for proper sperm functionality. Additionally, a mild reduction of the testicular macrophage pool resulted in transient disruptions in spermatogenesis and steroidogenesis. Although the macrophage niche was repopulated after depletion, the newly recruited cells displayed altered phenotypes consistent with persistent sperm alterations. Following infection with uropathogenic Escherichia coli (UPEC), macrophage-depleted mice exhibited exacerbated immune responses - particularly in normally protected proximal epididymal regions - with earlier onset and more severe tissue damage. Transcriptomic analysis revealed a failure to restrain inflammatory responses, especially in genes involved in immune regulation and antibacterial defense, accompanied by elevated immune cell infiltration in infected macrophage-depleted mice. Overall, our findings confirm a crucial role for CX3CR1 macrophages in preserving epithelial integrity and modulating immune responses, supporting a stable tissue environment necessary for efficient organ function of both epididymis and testis. Significance statementMaintaining immune balance in the epididymis is essential for tissue health and protection against ascending infections. Using a transgenic mouse model that allows for selective depletion of CX3CR1 macrophages, this study examines their role in both the epididymis and testis under normal and infectious conditions. The results show that the removal of these macrophages causes localized epithelial damage, changes in immune cell make-up, and increased inflammation in the epididymis after bacterial infection, while also causing mild, reversible problems with spermatogenesis and steroid production in the testis. These findings support the idea that CX3CR1 macrophages contribute to region-specific immune regulation and epithelial stability--key features for keeping the tissue environment suitable for proper sperm development.

immunology↗

bioRxiv2025

Mandibular morphology clarifies phylogenetic relationships near the origin of crown birds

BackgroundThe phylogenetic relationships of fossil birds near the origin of the avian crown group remain debated, in part due to a limited amount of character evidence from incomplete fossils. The avian lower jaw provides a potentially rich source of additional character data, yet fusion of the individual bony elements composing the avian post-dentary complex has impeded efforts to explore its phylogenetic signal. Here, we use high-resolution {micro}CT-scanning to separate the individual bony elements of the mandibles of several immature crown birds and key fossil taxa, and use those data to assess support for alternative phylogenetic hypotheses for fossils near the origin of crown birds. ResultsWe find that evidence from Asteriornis fails to support interpretations of derived mandibular similarities with palaeognaths, and instead strongly favours galloanseran, and specifically galliform, affinities. Our results also illustrate striking similarities in the architecture of the lower jaws between the toothed ornithurine Ichthyornis, Pelagornithidae and Vegavis, which, in addition to the absence of derived features linking them to Galloanserae, highlights questions regarding the phylogenetic position of these perennially controversial taxa. ConclusionsOur data reveal new insight into patterns of morphological evolution near the origin of the avian crown group while raising new phylogenetic questions, emphasising the potential untapped value of detailed comparative investigations of morphological complexes such as the post-dentary complex of the mandible for informing the early evolutionary history of crown birds.

paleontology↗

bioRxiv2025

RNA Binding Proteins KhpA and KhpB Interact with Small Regulatory RNAs and Affect Global Gene Expression in Deinococcus radiodurans

Small regulatory RNAs (sRNAs) in bacteria often associate with RNA-binding proteins to gain intracellular stability and/or to enable regulatory efficiency. While much of the current knowledge about those sRNA binding proteins is derived from studies in Gram-negative organisms, the characterization of such proteins in Gram-positive species is still lagging behind. Here, we identified and characterized two sRNA binding proteins (KhpA and KhpB) in Deinococcus radiodurans, a Gram-positive bacterium that exhibits extreme resistance to radiation and other oxidative stressors. We demonstrate that KhpA and KhpB interact with key sRNAs in D. radiodurans and influence their stabilities. Although KhpA and KhpB interact with each other, they do not bind the sRNAs as a complex. Insightfully, KhpA and KhpB facilitate the interactions of the representative sRNAs PprS and Dsr9 in D. radiodurans with their respective mRNA targets, pprM and DR_1968. Through RNA-seq analysis, we further revealed that KhpA and KhpB have both overlapping and specific roles in a global gene regulation in D. radiodurans. Overall, this study expands our knowledge of posttranscriptional regulation in D. radiodurans and supports the growing consensus that KhpA and KhpB homologs constitute a new family of sRNA binding proteins in Gram-positive bacteria. IMPORTANCEThe bacterium Deinococcus radiodurans is the most radiation-resistant organism identified to date. Understanding the mechanisms of resistance of D. radiodurans is essential for leveraging this bacterium in biomedical and biomanufacturing applications. It was previously revealed that small regulatory RNAs (sRNAs) play crucial roles in the gene regulation of D. radiodurans. However, how these sRNAs are influenced by RNA binding proteins is poorly understood. Here we identified two conserved RNA binding proteins, KhpA and KhpB, as sRNA binding partners in D. radiodurans. These proteins affect the sRNA stability, sRNA-target interaction, and global gene regulation. Characterization of KhpA and KhpB will help us advance the understanding of how post-transcriptional network regulates the physiology and radioresistance of D. radiodurans.

molecular biology↗

bioRxiv2025

CSRefiner: A lightweight framework for fine-tuning cell segmentation models with small datasets

AO_SCPLOWBSTRACTC_SCPLOWRecent advances in spatial omics technologies have enabled transcriptome profiling at subcellular resolution. By performing cell segmentation on nuclear or membrane staining images, researchers can acquire single cell level spatial gene expression data, which in turn enables subsequent biological interpretation. Although deep learning-based segmentation models achieve high overall accuracy, their performance remains suboptimal for whole-tissue analysis, particularly in ensuring consistent segmentation accuracy across diverse cell populations. Existing fine-tuning approaches often require extensive retraining or are tailored to specific model architectures, limiting their adaptability and scalability in practical settings. To address these challenges, we present CSRefiner, a lightweight and efficient fine-tuning framework for precise whole-tissue single-cell spatial expression analysis. Our approach incorporates support for fine-tuning widely uaed segmentation models in the field of spatial omics, including recent published model Cellpose-SAM, while achieving high accuracy with very limited annotated data. This study demonstrates CSRefiners superior performance across various staining types and its compatibility with multiple mainstream models. Combining operational simplicity with robust accuracy, our framework offers a practical solution for real-world spatial transcriptomics applications.

bioinformatics↗