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Fang, Y.

Publications and source records attributed to Fang, Y..

At least 73 records · Page 4Linked to original sources

Comparative Transcriptomic Analysis of Embryonic Stem Cells (ESCs) across Mammalian Species

Pluripotency, the ability of cells to self-renew and differentiate into all the cell types in an animals body, is vital for mammalian early development. This study presented a comprehensive comparative transcriptomic analysis of embryonic stem cells across multiple mammalian species, defining their progression through expanded/extended, naive, formative, and primed pluripotency states. Our findings revealed both conserved and species-specific mechanisms underlying pluripotency regulation. We also emphasized the limitations of existing state-specific markers and their limited cross-species applicability, while identifying de novo pluripotency markers that can inform future research. Despite variability in gene expression dynamics, gene co-expression networks showed remarkable conservation across species. Among pluripotency states, the primed state demonstrated the highest conservation, evidenced by shared markers, preserved gene networks, and stronger selective pressures acting on its genes. These findings provide critical insights into the evolution and regulation of pluripotency, laying a foundation for refining stem cell models to enhance their translational potential in regenerative medicine, agriculture, and conservation biology.

genomics↗

Cross-family Signaling: PDGF Mediates VEGFR Activation and Endothelial Function

Cross-family signaling between platelet-derived growth factors (PDGFs) and vascular endothelial growth factor receptors (VEGFRs) is a newly discovered yet unexplored mechanism of angiogenesis regulation. This study elucidates the role of PDGFs in endothelial cell (EC) signaling and functions, focusing on VEGFR1 and VEGFR2 activation. Using human dermal microvascular ECs (HDMECs) with double knockout of PDGFR/{beta} and human brain microvascular ECs (HBMECs), we show three key findings: (1) PDGF-AA and -BB induced VEGFR1 phosphorylation, peaking at 2-fold increases at low concentrations (0.5 ng/mL), while PDGF-AB stimulated a 2-fold rise in VEGFR2 phosphorylation. (2) Downstream effectors PLC{gamma}1, Akt, and FAK were activated by all three PDGFs at levels comparable to VEGF-A. (3) PDGF-BB significantly enhanced EC proliferation (up to 240%) and migration (up to 170%), with lower PDGF concentrations (0.5-5 ng/mL) eliciting stronger effects than higher concentrations (50-100 ng/mL). Overall, PDGF subtypes differentially induce VEGFR phosphorylation, downstream effector activation, and angiogenic hallmarks such as proliferation and migration, revealing novel mechanisms for regulating endothelial function.

bioengineering↗

Cross-family interactions of vascular endothelial growth factors and platelet-derived growth factors on the endothelial cell surface: A computational model

Angiogenesis, the formation of new vessels from existing vessels, is mediated by vascular endothelial growth factor (VEGF) and platelet-derived growth factor (PDGF). Despite discoveries supporting the cross-family interactions between VEGF and PDGF families, sharing the binding partners between them makes it challenging to identify growth factors that predominantly affect angiogenesis. Systems biology offers promises to untangle this complexity. Thus, in this study, we developed a mass-action kinetics-based computational model for cross-family interactions between VEGFs (VEGF-A, VEGF-B, and PlGF) and PDGFs (PDGF-AA, PDGF-AB, and PDGF-BB) with their receptors (VEGFR1, VEGFR2, NRP1, PDGFR, and PDGFR{beta}). The model, parametrized with our literature mining and surface resonance plasmon assays, was validated by comparing the concentration of VEGFR1 complexes with a previously constructed angiogenesis model. The model predictions include five outcomes: 1) the percentage of free or bound ligands and 2) receptors, 3) the concentration of free ligands, 4) the percentage of ligands occupying each receptor, and 5) the concentration of ligands that is bound to each receptor. We found that at equimolar ligand concentrations (1 nM), PlGF and VEGF-A were the main binding partners of VEGFR1 and VEGFR2, respectively. Varying the density of receptors resulted in the following five outcomes: 1) Increasing VEGFR1 density depletes the free PlGF concentration, 2) increasing VEGFR2 density decreases PDGF:PDGFR complexes, 3) increased NRP1 density generates a biphasic concentration of the free PlGF, 4) increased PDGFR density increases PDGFs:PDGFR binding, and 5) increasing PDGFR{beta} density increases VEGF-A:PDGFR{beta}. Our model offers a reproducible, fundamental framework for exploring cross-family interactions that can be extended to the tissue level or intracellular molecular level. Also, our model may help develop therapeutic strategies in pathological angiogenesis by identifying the dominant complex in the cell signaling. Author summaryNew blood vessel formation from existing ones is essential for growth, healing, and reproduction. However, when this process is disrupted--either too much or too little--it can contribute to diseases such as cancer and peripheral arterial disease. Two key families of proteins, vascular endothelial growth factors (VEGFs) and platelet-derived growth factors (PDGFs), regulate this process. Traditionally, scientists believed that VEGFs only bind to VEGF receptors and PDGFs to PDGF receptors. However, recent findings show that these proteins can interact with each others receptors, making it more challenging to understand and control blood vessel formation. To clarify these complex interactions, we combined computer modeling with biological data to map out which proteins bind to which receptors and to what extent. Our findings show that when VEGFs and PDGFs are present in equal amounts, VEGFs are the primary binding partners for VEGF receptors. We also explored how changes in receptor levels affect these interactions in disease-like conditions. This work provides a foundational computational model for studying cross-family interactions, which can be expanded to investigate tissue-level effects and processes inside cells. Ultimately, our model may help develop better treatments for diseases linked to abnormal blood vessel growth by identifying key protein-receptor interactions.

systems biology↗

Cultured endothelial cells present organ-specific RTK distributions: advancing receptor measurement and data standardization via quantitative flow cytometry

PurposeReceptor tyrosine kinase (RTK) concentrations on the plasma membrane correlate with angiogenic functions in vitro and in rodent models. The intracellular RTK pool also regulates plasma membrane receptor availability and signaling pathways. Organs have specialized angiogenic functions essential to their distinct roles, supporting the hypothesis that plasma membrane and intracellular RTK concentrations vary across endothelial cells (ECs) from different organs. MethodsUsing quantitative flow cytometry on human ECs derived from dermis, umbilical vein, kidney, liver, and brain, we measured and statistically analyzed the concentrations of selected RTKs within ECs and on their plasma membranes. ResultsVEGFR1 exhibited the lowest concentrations on the plasma membrane (300-900 VEGFR1/cell) among VEGFRs. HDMECs (dermis) showed the lowest VEGFR1 level among the examined EC types. Whole-cell VEGFR1 concentrations were 2500-7500 VEGFR1/cell, with 12-26% located on the plasma membrane. The proportion of VEGFR2 located on the plasma membrane was higher at > 30%, except in HGMECs (kidney) where it was 24%. Plasma membrane VEGFR2 was significantly lower in HDMECs and HGMECs compared with HBMECs (brain), whereas whole-cell VEGFR2 levels were consistently in the range of 14,100-22,500 molecules/cell. VEGFR3 was the least localized to the plasma membrane, from 2% in HGMECs to 14% in HDMECs at the highest level of 4400 VEGFR3/cell. Whole-cell VEGFR3 concentrations ranged from 32,400 in HDMECs to 62,000 VEGFR3/cell in HLiSMECs (liver), with no significant differences among EC types. NRP1 was most abundant on the plasma membrane of HUVECs (umbilical vein) at 39,700 NRP1/cell; other ECs displayed 26,000-29,900 NRP1/cell, approximately 5-fold higher than the numbers of VEGFRs. Across EC types, Axl was present on the plasma membrane at levels (6900-12,200 Axl/cell) similar to those of VEGFR2. ConclusionsWe quantified and statistically analyzed plasma membrane and whole-cell expression of angiogenic RTKs across cultured human ECs from five different organs. Our findings suggest that RTK protein distribution might not fully reflect the differential angiogenic capacities in cultured ECs. In vitro monoculture conditions might reduce EC organ-specific features essential for refining vascular models.

bioengineering↗

Sex Differences in VEGF and PDGF Ligand and Receptor Protein Expression during Adipose Tissue Expansion and Regression

Inadequate angiogenesis in obesogenic adipose tissue (AT) has been implicated in disrupted adipogenesis and metabolic disorders. Yet, key cellular and molecular regulators of AT angiogenesis remain largely unidentified. This study sought to identify the dysregulated elements within the Vascular Endothelial Growth Factor (VEGF) and Platelet-Derived Growth Factor (PDGF) systems during obesity progression. We employ a mouse model, comprising both male and female mice, to investigate the changes in the VEGF/PDGF concentration and their receptor distribution in AT during short- and long-term weight gain and weight loss. Our results reveal pronounced sex-specific differences in obesity progression, with male and female mice exhibiting distinct angiogenic ligand and receptor profiles under identical dietary interventions. This data also lays the groundwork for developing computational models of VEGF/PDGF signaling networks in AT, allowing for the simulation of complex biological interactions and the prediction of therapeutic outcomes.

cell biology↗

Construction of a low-temperature degrading synthetic bacterial community of corn straw

The stability of the cellulose structure in straw creates a challenge for short-term degradation in the natural environment, especially in the cold regions of north China. Therefore, to secure strains that can degrade straw at low temperatures, we selected soil samples from straw-returning land and used cellulose as the only carbon source. After conducting preliminary screening and further re-screening, we ultimately selected three strains that exhibited efficient degradation of corn straw at a temperature of 4 . Subsequently, the synthetic bacterial community C was constructed using these strains: Stenotrophomonas maltophilia, Flavobacterium johnsoniae and Pantoea rodasii. We conducted a 45-day solid-state and liquid-state fermentation experiment at low-temperature (12 ). The activity of lignocellulase was determined, and the enzyme production conditions were optimized. The results show that the liquid fermentation degradation rate of straw increased by 40 % compared with the control group in the natural state (without adding C). Similarly, the solid-state fermentation degradation rate of straw increased by 30 %, which was significantly faster than that of the control group. Finally, the enzyme production conditions of strain C were optimized as follows: culture time 96 h, inoculation amount 4 %, temperature 12 , pH 6.0, and Alkaline Carboxymethyl Cellulase (CMCase) activity 24.34 U/mL. The microbial system C efficiently degrades straw at low temperature, which is valuable for improving the comprehensive utilization rate of straw and has a broad application prospect in improving soil fertility.

microbiology↗

Precision mRNA Nanomedicine for Targeted Vascular Therapies in ARDS and Atherosclerosis

Vascular diseases, including acute respiratory distress syndrome (ARDS) and atherosclerosis, are leading causes of global morbidity and mortality, underscoring the critical need for innovative therapies. While human genetics has uncovered specific molecular mechanisms in endothelial cells that drive acute and chronic vascular inflammation central to these conditions, effective in vivo strategies to spatiotemporally target these disease-causing pathways using therapeutic mRNAs remain limited. Here, we present a modular and tunable nanoparticle platform (PROGRAMMED nanoparticles) engineered to selectively deliver therapeutic mRNAs to target cells with distinct molecular signatures, such as inflamed endothelial cells expressing vascular cell adhesion molecule 1 (VCAM1). This approach restores key genetics-informed endothelial pathways implicated in disease, including the loss of Kruppel-like factor 2 (KLF2) in acute inflammation underlying ARDS and the suppression of phospholipid phosphatase 3 (PLPP3) in chronic inflammation driving atherosclerosis. In multiple preclinical models, these precision mRNA nanomedicine strategies demonstrated compelling therapeutic efficacy. VCAM1-targeting PROGRAMMED nanoparticles delivering KLF2 mRNA to inflamed lung microvascular endothelial cells significantly improved microvascular health and alleviated virus-induced ARDS. Similarly, PLPP3 mRNA delivery by VCAM1-targeting PROGRAMMED nanoparticles attenuated arterial inflammation, slowed atherosclerosis progression, and promoted regression of advanced plaques. This innovative platform offers a transformative approach for spatiotemporal mRNA therapies targeting inflamed endothelial cells, providing a minimally invasive and highly specific strategy to address acute and chronic vascular diseases. Moreover, the modularity of PROGRAMMED nanoparticles, particularly their ability to display diverse targeting motifs, holds substantial potential for addressing a broad spectrum of vascular complications and other diseases that require precise spatiotemporal correction of dysregulated genes.

bioengineering↗

Bovine Formative Embryonic Stem Cell Plasticity in Embryonic and Extraembryonic Differentiation

Bovine embryonic stem cells (bESCs) can greatly enhance understanding of bovine embryonic development and applications for disease-resistance, biomedical and zoonotic pre-clinical models. However, formative bESCs with distinct morphology and complete differentiation capacity are still unreported. We document here the generation of bESCs which are pluripotent both in vitro and in vivo, and efficiently converted into neural progenitor cells (NPCs) and primordial germ cell-like cells (PGCLCs) by direct differentiation. These cells exhibited distinct metabolic features from human and mouse ESCs and early embryos. Formative bESCs contributed to a wide range of cell types within embryonic and extraembryonic tissues after aggregating with mouse and bovine embryos. The establishment of bovine formative ESCs with dual developmental plasticity represents a milestone for agricultural biotechnology and decoding the underlying mechanism of bona fide bovine pluripotency. Summary statementGenerating bovine ESCs would greatly enhance understanding of bovine embryonic development and bioengineering of cattle for disease-resistance, biomedical and zoonotic pre-clinical models.

developmental biology↗

Integrative analysis of angiogenic signaling in obesity: capillary features and VEGF binding kinetics

Obesity is a global health crisis, with its prevalence particularly severe in the United States, where over 42% of adults are classified as obese. Obesity is driven by complex molecular and tissue-level mechanisms that remain poorly understood. Among these, angiogenesis--primarily mediated by vascular endothelial growth factor (VEGF-A)--is critical for adipose tissue expansion but presents unique challenges for therapeutic targeting due to its intricate regulation. Systems biology approaches have advanced our understanding of VEGF-A signaling in vascular diseases, but their application to obesity is limited by scattered and sometimes contradictory data. To address this gap, we performed a comprehensive analysis of the existing literature to synthesize key findings, standardize data, and provide a holistic perspective on the adipose vascular microenvironment. The data mining revealed five key findings: (1) obesity increases adipocyte size by 78%; (2) vessel density in adipose tissue decreases by 51% in obese mice, with vessels being 47-58% smaller and 4-9 times denser in comparison with tumor vessels; (3) capillary basement membrane thickness remains similar regardless of obesity; (4) VEGF-A shows the strongest binding affinity for VEGFR1, with four times stronger affinity for VEGFR2 than for NRP1; and (5) binding affinities measured by radioligand binding assay and surface plasmon resonance (SPR) are significantly different. These consolidated findings provide essential parameters for systems biology modeling, new insights into obesity-induced changes in adipose tissue, and a foundation for developing angiogenesis-targeting therapies for obesity.

bioengineering↗

Spatially barcoding biochemical reactions using DNA nanostructures unveil a major contact mechanism in proximity labeling

Proximity labeling techniques like TurboID and APEX2 have become pivotal tools in spatial omics research for studying protein interactions. However, the biochemical mechanisms underlying these reactive species-mediated labelings, particularly the spatial patterns of labeling methods within the sub-m range, remain poorly understood. Here, we employed DNA nanostructure platforms to precisely measure the labeling radii of TurboID and APEX2 through in vitro assays. Our DNA nanoruler design enables the deployment of oligonucleotide-barcoded labeling targets with nanometer precision near the enzymes. By quantifying labeling yields using quantitative PCR and mapping them against target distances, we uncovered surprising insights into the labeling mechanisms. Contrary to the prevailing diffusive labeling model, our results demonstrate that TurboID primarily operates through contact-dependent labeling. Similarly, APEX2 shows high labeling efficiency within its direct contact range. In parallel, it exhibits a low-level diffusive labeling towards more distant phenols. These findings reframe our understanding in the mechanism of proximity labeling enzymes, at the same time highlight the potential of DNA nanotechnology in spatially profiling reactive species.

biochemistry↗

Searching for Jouvence SnoRNA in the Horse Genome

In humans, various pathologies have been associated with snoRNAs. Others have shown that the expression of a non-canonical snoRNA Jouvence is involved in lifespan determination in relation to gut homeostasis. As snoRNAs are evolutionary conserved, both structurally and functionally, a jouvence orthologue has been identified in humans. This study aimed to locate the Jouvence snoRNA in the horse genome. Using our previous snoRNA data in ageing equine cartilage along with equine genome data we identified a putative equine Jouvence snoRNA gene. ECABCGRLG0000000730 was the primary candidate horse Jouvence snoRNA. The expression of equine Jouvence snoRNA was increased in ageing equine cartilage.

molecular biology↗

Engineered mitochondrial A-to-G editors with enhanced efficiency and targeting scope

Mitochondrial base editing is a powerful technology, but the current A-to-G mitochondrial DNA (mtDNA) base editors are reluctant to achieve high efficiency, which is critical for mtDNA engineering. Through laboratory evolution, TadA-8e variants were discovered with substantially increased activity and expanded targeting compatibility, especially for previously unfavorite sequence contexts, when applied to both nuclear and mitochondrial ABEs. Further engineering of the mtDNA editors (eTd-mtABEs) dramatically reduced both DNA and RNA off-targeting effects and enhanced strand-selective A-to-G editing with substitution of DddA to DNA nickases. Moreover, the eTd-mtABEs induced up to 145-fold editing frequencies compared to previous mtDNA adenine base editors in rat cells, and installed targeted mutations in all injected rat embryos with up to 74% efficiency in founders, resulting generation of SNHL and Leigh syndrome models with severe defects. It suggests that eTd-mtABEs are promising mtDNA engineering technology for basic research and for translational studies. HighlightsO_LIEngineered TadA variants enhance nuclear and mitochondrial ABE activity in all sequence contexts. C_LIO_LIAdditional mutations in eTd-mtABEs further minimize both DNA and RNA off-targeting effects. C_LIO_LIEngineered TadA variants are compatible to DNA nickase assisted strand-selective mtDNA editing. C_LIO_LIeTd-mtABEs enable highly efficient generation of rat mtDNA disease models with severe phenotypes. C_LI

bioengineering↗

Influenza Virus Enhances Bacterial Growth in the Lungs through Weakening Capsule Receptor-Mediated Bacterial Capture by Neutrophils

Certain serotypes of encapsulated bacteria are more associated with severe pneumonia than others, but the biological reason behind this association has remained largely unknown. This study has uncovered a causal relationship between capsule serotype and virulence phenotype of Streptococcus pneumoniae, a leading cause of community-acquired pneumonia, in mice using isogenic bacteria. Certain high-virulence (HV) serotypes persist in the lungs and lead to severe pneumonia, whereas the low-virulence (LV) serotypes are effectively cleared. The capsule type-dependent difference in virulence is determined by the capsule-binding receptors, which recognize the capsular polysaccharides of the LV serotypes (but not the HV serotypes) and enable pathogen capture by neutrophils through complement activation. The capsule receptor-driven immunity of lung neutrophils is significantly compromised by pre-infection of influenza virus, which enhances the survival and virulence of the LV S. pneumoniae serotypes, and recurs in the heightened pathogenicity of Haemophilus influenzae. This study not only unravels the long-sought mechanistic mystery of serotype-dependent virulence in bacterial lung infections, but also provides an explanation for the well-known pathogenesis synergism between influenza virus and respiratory bacteria. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/622589v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1464164org.highwire.dtl.DTLVardef@16f34e5org.highwire.dtl.DTLVardef@1f9ad46org.highwire.dtl.DTLVardef@df104d_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

C-C bond cleavage and generation in TCA cycle driven by radicals and peroxo-bridge like interaction

Tricarboxylic acid (TCA) cycle is one of the most important and common metabolic pathways in different kingdoms of life, in which citrate synthase catalyzes the first irreversible reaction and the rate-limiting step. Reversed oxidative tricarboxylic acid (roTCA) cycle is a newly discovered autotrophic CO2 fixation pathway based on the reversal of TCA cycle, in which citrate synthase catalyzes the thermodynamically unfavorable citrate cleavage reaction. In this work, we proposed that radicals promote C-C bond cleavage of citrate in roTCA cycle based on series intermediate catalytic state of citrate synthases from Desulfurella acetivoran (DaCS) and Thermosulfidibacter takaii (TtCS) obtained by electron paramagnetic resonance (EPR) and X-ray crystallography. We also proposed that the peroxo-bridge like interaction promotes C-C bond generation between acetyl group and oxaloacetate in citrate synthesis reaction based on intermediate state of human citrate synthase by time-resolved characteristic Raman spectroscopy and X-ray diffraction methods. Results also indicate these mechanisms would be widespread among conserved citrate synthases.

biochemistry↗

BC-Design: A Biochemistry-Aware Framework for High-Precision Inverse Protein Folding

Inverse protein design (IPD) extends the classical problem of inverse protein folding (IPF) by not only recovering a sequence compatible with a given backbone geometry but also generating a range of new sequences that satisfy the physicochemical constraints required for a stable fold with a specified (often designed) function. Recent progress has incorporated biochemical properties as discrete per-residue features, but such localized signals cannot represent the continuous hydrophobic and electrostatic environments that span protein surfaces and interior volumes. Here we introduce BC-DO_SCPLOWESIGNC_SCPLOW, a biochemistry-aware inverse design framework that integrates geometric structure with smoothly varying hydrophobicity and charge properties. The later are represented independent of residue coordinates, on compact point clouds sampled throughout protein surfaces and interiors. This formulation provides a natural spatial description of physicochemical environments and enriches structural cues without specifying amino-acid identities. On the CATH 4.2 benchmark, BC-DO_SCPLOWESIGNC_SCPLOW achieves 90% sequence recovery and generalizes robustly across protein lengths, contact-order regimes, and major fold classes. Masking experiments further demonstrate an interpretable fidelity-diversity control: full biochemical context yields high-fidelity reconstructions, whereas withholding information enables exploratory variant generation. Beyond diagnostic benchmarks, BC-DO_SCPLOWESIGNC_SCPLOW demonstrably improves functional design outcomes across diverse settings. It increases enzyme-substrate affinity, enhances peptide-receptor design accuracy, and achieves state-of-the-art recovery and structural fidelity in antibody loop (CDRH3) modeling. In these applications, the model not only reconstructs native-like sequences but also proposes plausible functional variants that preserve catalytic or binding geometry--such as generating CDRH3 loops that maintain antigen-contact configurations while offering new sequence solutions. These results show that integrating continuous physicochemical properties with structural geometry enables practical, function-oriented protein design, going beyond backbone-conditioned recovery.

bioinformatics↗

A genome-wide-level insight into HSF gene family of Rhodomyrtus tomentosa and the functional characterization of RtHSFA2s genes in thermal adaption

Heat shock transcription factor (HSF) is one of the most important regulatory elements in plant development and stress response. Rhohomyrtus tomentosa has many advantages in adapting to high temperature and humidity climates, whereas the inherence has barely been elucidated. In this study, we aimed to characterize the HSF family and investigate the thermal adaption mechanisms of R. tomentosa. We identified 25 HSF genes in the R. tomentosa genome. They could be classified into three classes: HSFA, HSFB, and HSFC. Gene duplication event is a major motivation for the expansion of the RtHSF gene family. Most of the genes in the same subclass share similar conserved motifs and gene structures. The cis-acting elements of the promoter regions of RtHSF genes are related to development, phytohormone signaling, and stress responses, and they vary among the genes even in the same subclass, resulting in different expression patterns. Especially, there exists subfunctionalization in the RtHSFA2 subfamily in responding to various abiotic stresses, viz. RtHSFA2a is sensitive to drought, salt, and cold stresses, whilst RtHSFA2b is mainly induced by heat stress. We further prove that RtHSFA2b might be of more importance in R. tomentosa thermotolerance, for Arabidopsis with overexpressed RtHSFA2b outperformed those with RtHSFA2a under heat stress, and RtHSFA2b has much higher transcription activity than RtHSFA2a in regulating certain heat shock response (HSR) genes. RtHSFA2a plays a role in transactivating RtHSFA2b. All these results provide a general prospect of the RtHSF gene family and enclose a basal thermal adaption mechanism of R. tomentosa.

plant biology↗

Lifespan of male and female APP/PS1 and APPNL-F/NL-F mouse models of Alzheimer's disease

Alzheimers disease (AD) disproportionately affects women, yet most preclinical research studies are male-centric. We performed lifespan analyses of male and female AD mouse models (APP/PS1 and APPNL-F/NL-F) and their shared genetic background control (C57BL/6). Survival curves support significant sex differences between within genotypes. Minimal longevity revealed increased age in male APP/PS1, and decreased age in APPNL-F/NL-F mice. Maximal longevity revealed an increased average age in males. Furthermore, median lifespan differed between sex and genotype. This study supports sexual dimorphic survival in two mouse models of AD, emphasizing the need to examine mechanisms and treatments in both sexes.

physiology↗

Recursive Cleaning for Large-scale Protein Data via Multimodal Learning

AO_SCPLOWBSTRACTC_SCPLOWReliable datasets and high-performance models work together to drive significant advancements in protein representation learning in the era of Artificial Intelligence. The size of protein models and datasets has grown exponentially in recent years. However, the quality of protein knowledge and model training has suffered from the lack of accurate and efficient data annotation and cleaning methods. To address this challenge, we introduce ProtAC, which corrects large Protein datasets with a scalable Automatic Cleaning framework that leverages both sequence and functional information through multimodal learning. To fulfill data cleaning, we propose the Sequence-Annotation Matching (SAM) module in the model, which filters the functional annotations that are more suitable for the corresponding sequences. Our approach is a cyclic process consisting of three stages: first pretraining the model on a large noisy dataset, then finetuning the model on a small manually annotated dataset, and finally cleaning the noisy dataset using the finetuned model. Through multiple rounds of "train-finetune-clean" cycles, we observe progressive improvement in protein function prediction and sequenceannotation matching. As a result, we achieve (1) a state-of-the-art (SOTA) model that outperforms competitors with fewer than 100M parameters, evaluated on multiple function-related downstream tasks, and (2) a cleaned UniRef50 dataset containing [~]50M proteins with well-annotated functions. Performing extensive biological analysis on a cleaned protein dataset, we demonstrate that our model is able to understand the relationships between different functional annotations in proteins and that proposed functional annotation revisions are reasonable.

bioengineering↗