Biology subjects

Chai, L.

Publications and source records attributed to Chai, L..

At least 19 recordsLinked to original sources

bioRxiv2026

An Eyewear-Based EEG Interface for Temporal-Region Monitoring and Emotion Recognition

Conventional electroencephalography (EEG) devices are often impractical for ambulatory settings due to their reliance on specialized hardware and expert operation. To address this, we developed a user-friendly eyewear-based EEG system featuring dry titanium electrodes positioned approximately 5 mm inferoposterior to the T7/T8 sites (near the ears), with metal nose pads serving as references. We evaluated the system across 103 recordings spanning five paradigms: alpha reactivity, blink-related transients, fatigue, attention, and video-elicited emotion. Following quality control, 93.2-100.0% of epochs were retained. The system demonstrated high sensitivity to ocular transients, showing significant amplitude increases during the blinking task. The emotion task yielded the most robust state-related features, with statistically significant differences in differential entropy across negative, neutral, and positive video categories, achieving balanced accuracies of 0.882 for two-class and 0.667 for three-class prediction. Despite challenges at the multiple testing correction stage, the alpha reactivity and fatigue contrast tasks were still noteworthy to some extent. The attention paradigm revealed a consistent increase in differential entropy during focused states, and the eyewear system outperformed the Muse headband in group-held-out classification. These findings provide strong evidence for the feasibility of temporal-region eyewear EEG acquisition, highlighting its potential applications in the real-world, particularly for emotion recognition.

neuroscience↗

bioRxiv2026

Transforming clinical apheresis waste into a renewable source of patient-derived CD34+ hematopoietic stem cell biobank for beta-hemoglobinopathy research and therapeutic discovery

Background aimsThe development of next-generation therapies for sickle cell disease (SCD) and beta thalassemia (beta thal), including fetal globin-inducing small molecules and gene therapy approaches, depends on patient-derived CD34+ hematopoietic stem and progenitor cells (HSPCs) for discovery and preclinical validation, but commercial vendors stock only healthy donor material and disease-specific banks hold limited inventories. Recent US Food and Drug Administration and National Institutes of Health guidance favoring human cell-based methods over animal testing underscores the value of authentic patient cells. Methods: Over 14 months we recovered, purified, and biobanked CD34+ HSPCs from clinical apheresis product waste and mobilized peripheral blood (PB) otherwise discarded after clinical procedures, using immunomagnetic selection adapted for hemoglobinopathy specimens; a microfluidic technology was evaluated separately. We quantified yield and purity for bead-selected material and cell number and viability for the microfluidic pilot; engraftment was tested in NBSGW mice. Results: Immunomagnetic selection recovered a median of 4.71 x 106 CD34+ cells from just 1 to 2 mL of apheresis product waste, comparable to the 6.0 x 106 cells from a 10 to 40 fold larger volume of PB waste, with similar purity across sources and diagnoses. Because apheresis product waste is far more concentrated, it reaches equivalent yields without the density-gradient steps required for PB waste, approximately halving processing time. Recovered cells engrafted NBSGW mice, confirming preserved repopulating capacity. The microfluidic pilot (two patients, 11 specimens) recovered 2.17 x 106 CD34+ cells per specimen at greater than 90% viability and purity. Conclusions: A center with existing apheresis infrastructure can reproducibly recover, bank, and distribute research-grade patient CD34+ HSPCs, addressing a recognized gap in the hemoglobinopathy pipeline. HighlightsO_LIClinical apheresis waste is used to generate a single-center biobank of high-quality, research-grade CD34+ HSPCs from patients with sickle cell disease and beta-thalassemia. C_LIO_LIConcentrated apheresis waste matches large-volume PB waste in CD34+ yield and purity. C_LIO_LIMicrofluidic enrichment recovers CD34+ cells at >90% viability and purity across 2 patients. C_LIO_LIRecovered CD34+ HSPCs engraft mice and form erythroid cells, preserving function. C_LI

pharmacology and toxicology↗

bioRxiv2026

A bacterial extracellular matrix protein forms a supramolecular metallogel

The microbial extracellular matrix (ECM) is a complex network of self-secreted biopolymers uniting the cells in biofilms, providing them with structural integrity, and contributing to their elevated resistance to antibiotic treatments. Recently, there is a growing realization that a regulated, bidirectional cross-talk of bacteria and ECM confers biofilms with tissue-like traits, however, the mechanisms of spatio-temporal self-organisation of ECM and its regulation are still poorly understood. In the model organism for biofilm formation Bacillus subtilis, TasA is the major protein component of the extracellular matrix. We recently showed that TasA, isolated in the form of stable and structured globules, assembles into elongated and ordered fibers via a donor-strand complementation mechanism. In this study, we discovered that in the presence of zinc metal ions, TasA is able to form hydrogels with > 97% water content. Electron- and atomic force-microscopies as well as small angle X-ray scattering measurements show that cross-linking with zinc ions induces a transition in TasA morphology from one-dimensional fibers to two-dimensional sheets. Electron paramagnetic resonance measurements then show that such a significant morphological shift is associated with molecular changes in the coordination environment of zinc ions, which lead to structural changes at the protein level. When assembling into macroscopic networks, TasA-Zn metallogels exhibit viscoelastic properties and a fast recovery following an excessive strain. These metallogels represent a novel class of bacterially-derived ECMs that form easily at room temperature without covalent crosslinking, and may be used as a natural matrix-mimics in biofilm models for infection studies.

biochemistry↗

bioRxiv2026

AlphaGenome -enabled analysis of non-coding regulatory variants underlying RHD Expression

Systematic identification of functional non-coding regulatory variants remains a major challenge in human genetics. Conventional approaches such as large-scale CRISPR screening and genome-wide association studies (GWAS) are powerful but often prohibitively expensive, time-consuming, and experimentally intensive, limiting their scalability for locus-specific mechanistic studies. Recent advances in artificial intelligence offer the potential to partially replace or substantially augment these approaches by prioritizing regulatory variants with high functional likelihood. The RHD antigen, a major contributor to red blood cell alloimmunization, hemolytic transfusion reactions, and hemolytic disease of the fetus and newborn, serves as an excellent model for this paradigm, since coding variants alone do not fully account for differences in RHD expression. Here, we present an integrated artificial intelligence (AI)-guided and experimental framework to identify and validate functional non-coding regulatory variants governing RHD expression. We first applied AlphaGenome (AG), a deep-learning model released in 2025 for non-coding variant impact prediction, to systematically interrogate the RHD locus. By integrating multi-omics datasets, AG prioritized regulatory regions within the promoter, 5' untranslated region (5'UTR), and intragenic regions. In silico deletion- and Single Nucleotide Polymorphism (SNP)-based perturbation analyses consistently predicted that variants within the promoter and its proximal regions, as well as within intragenic regions, exert strong suppressive effects on RHD expression. To experimentally validate these predictions, we performed CRISPR-mediated base editing in K562 cells at AG-prioritized non-coding SNP sites. Editing of a high-score predicted variant (chr1:25272434 G>A) achieved efficient base conversion and was accompanied by additional nearby edits, all predicted by AG to downregulate RHD expression. In contrast, editing of low-score predicted sites (chr1:25272422 C>T) produced much smaller functional effects. Quantitative polymerase chain reaction (qPCR) analysis of full-length RHD transcripts, together with flow cytometry-based analysis of RHD expression, confirmed strong concordance between AI-based predictions and transcriptional as well as phenotypic outcomes. Taken together, our results demonstrate that the combination of AI-guided regulatory variant prioritization and targeted base editing provides a potentially scalable and cost-effective alternative to traditional CRISPR screening for decoding functional non-coding variants in blood group genes, with direct implications for genomics-based RHD typing and transfusion medicine. To our knowledge, this study also represents the first validation of AlphaGenome predictions at the phenotypic level using wet-lab experiments.

genomics↗

bioRxiv2025

Discovery of A Small Molecule non-IMiD Degrader of ZBTB7A for the Treatment of β-hemoglobinopathies

Sickle cell disease and {beta}-thalassemia, two major {beta}-hemoglobinopathies, pose significant clinical challenges globally. Current treatments often face limitations in efficacy and tolerability. The transcription factor ZBTB7A has emerged as a promising therapeutic target for reactivating fetal hemoglobin expression. Here, we report the discovery and characterization of SH6, a small molecule non-IMiD degrader of ZBTB7A. SH6 induces fetal hemoglobin in erythroid cell lines in a CRBN and ZBTB7A-dependent manner, and it is capable of inducing fetal hemoglobin expression in healthy donor, SCD and {beta}-thalassemia patient CD34+ cell derived erythroid cells. The efficacy of SH6 is confirmed in a xenotransplantation humanized mouse model. SH6 outperforms currently available therapeutic agents in vitro, and shows synergy with hypomethylating agents. SH6 exhibits a favorable in vivo toxicity profile. Our findings establish SH6 as a promising therapeutic lead candidate for further optimization towards clinical development for treatment of sickle cell disease and {beta}-thalassemia.

cell biology↗

bioRxiv2025

Bone Marrow Adipokine Mediates Hematopoietic Regeneration and Stem Cell Fitness

Bone marrow (BM) hematopoietic stem cells (HSCs) are exquisitely sensitive to cues from the BM microenvironment (ME), which is critical for their engraftment and regeneration following myeloablative stress. Retinoic acid signaling, acting on both HSCs and niche cells, has emerged as a central regulator of this process. Among ME components, BM adipocytes (BMAs), which can comprise up to 45% of BM volume and expand dramatically during the pancytopenic phase after myeloablation, play a previously underappreciated role in hematopoietic recovery. Here, we identify retinoid X receptor (RXR) signaling in BMAs as a key regulator of the adipokine Resistin, which promotes HSC self-renewal and functional fitness by activating NF-{kappa}B signaling. Conditional loss of RXR in adiponectin-expressing cells suppressed Resistin production, resulting in reduced NF-{kappa}B activity in HSCs, impaired self-renewal, and defective multilineage hematopoietic regeneration. Functionally, in vivo Resistin neutralization impaired hematopoietic reconstitution, whereas supplementation with either monomeric or dimeric Resistin enhanced HSC self-renewal and long-term lympho-hematopoietic reconstitution in an NF-{kappa}B-dependent manner. Together, these findings establish BMA-derived Resistin as an RXR-dependent, critical extrinsic regulator of HSC self-renewal and regenerative hematopoiesis, underscoring its essential role in lympho-myeloid reconstitution after myeloablation. Disclosures: The authors declare no relevant conflicts of interest.

physiology↗

bioRxiv2025

AAV gene therapy for GBA-PD and Gaucher Disease

Mutations in GBA1, the gene encoding glucocerebrosidase (GCase), are the most common risk factor for Parkinsons Disease (PD). GBA-PD patients are a genetic subpopulation of PD carrying heterozygous mutations in GBA1. Additionally, bi-allelic mutations in GBA1 cause Gaucher Disease (GD), a lysosomal storage disorder. Loss of GCase activity, a lysosomal enzyme leads to the accumulation of lipid substrates, disrupting lipid homeostasis and promoting cellular toxicity. Here, we report an AAV-mediated GBA1 replacement strategy to treat GD and GBA-PD by a one-time infusion via intravenous (GD Type 1) or intra-CSF (GBA-PD) route of administration. We engineered human GCase to be readily secretable to facilitate broad cross-correction. We developed CBE (conduritol {beta}-epoxide) induced lipid accumulation models to assess efficacy in mice and non-human primates (NHPs) to assess efficacy of our engineered constructs. Based on data across species, across different routes of administration, we nominated AAV.GMU01 SS3-GBA1 as our lead candidate. SS3-GBA1 is robustly secreted, cross-corrected across tissues and promotes lipid clearance. By comparing human GCase levels in AAV-treated NHP brains to healthy human donor brains, we demonstrate that AAV.GMU01 SS3-GBA1 replenishes the GCase deficit seen in GBA-PD patients, thus, restoring GCase to near-physiological levels Importantly, AAV.GMU01 SS3-GBA1 is well-tolerated with no adverse findings. Collectively, we establish a therapeutic strategy for the treatment of Gaucher Disease and GBA-PD with a single gene therapy product. One Sentence SummaryA novel gene therapy strategy for GBA1-PD and Gaucher disease with an engineered payload that robustly cross-corrects enhancing therapeutic footprint

neuroscience↗

bioRxiv2025

PCAGP, a parallel convolutional attention network-based method for crop genomic prediction

Genomic selection (GS) has emerged as a transformative breeding paradigm, leveraging genome-wide marker data to predict phenotypic outcomes and accelerate crop improvement cycles. Traditional statistical models face fundamental limitations in modeling the higher-order, non-linear genotype-phenotype relationships inherent in complex agronomic traits. Deep learning architectures have recently shown remarkable predictive performance in GS applications. Current deep learning approaches in GS predominantly employ a serial structure convolution kernel, this may lead to gradient vanishing and computational efficiency challenges. In this study, we propose a method based on a parallel convolutional attention network for crop genomic prediction (PCAGP), a novel deep learning framework for crop genomic prediction. The architecture uses a convolution kernel to transmit information through a parallel structure, combined with a coordinate attention mechanism that effectively integrates inter-channel relationships and spatial genomic information. This approach significantly improves the accuracy of phenotypic prediction. We compared PCAGP with six widely used GS methods on four benchmark datasets, including statistical method (GBLUP), machine learning approaches (SVR, RF), and deep learning models (DeepGS, DNNGP, and SoyDNGP). The experimental results demonstrate that PCAGP outperforms all baseline methods, and the average prediction accuracy is improved (0.4%-53.1%).

bioinformatics↗

bioRxiv2025

Bi-directional relationship between the biofilm of Porphyromonas gingivalis and the amyloid-beta peptide.

Periodontitis and Porphyromonas gingivalis infections are significant risk factors for the onset of Alzheimers disease (AD). Despite P. gingivalis relying on biofilm for its survival and virulence, the impact of the extracellular matrix on ADs neuropathological hallmarks was never examined. In this study, we report a bidirectional relationship between the amyloid beta (A{beta}) peptide, which plays a central role in AD, and the biofilm of P. gingivalis. Using multiple fluorescent markers for biofilm components, we observed that A{beta}1-40 inhibited biofilm formation while A{beta}1-42 increased extracellular matrix production. Also, using thioflavin T staining and atomic force microscopy, we observed co-aggregation between the biofilm and monomeric A{beta}1-40, resulting in a quicker aggregation and significant changes in aggregate structures. Our findings propose mechanistic explanations for the role of P. gingivalis as a risk factor for AD and offer potential mechanisms for the microbial involvement in AD etiology. ImportanceWhile the etiology of Alzheimers disease has been studied extensively for the past 50 years, its exact causes remain unknown. Our current understanding is that the accumulation of multiple genetic and environmental risk factors would lead to the onset of the disease. Porphyromonas gingivalis is a bacterium that produces biofilm and elicits periodontitis, a chronic infection of the gums that constitutes a risk factor for Alzheimers disease. While studies have looked at the effects of P. gingivalis in triggering Alzheimers symptoms in animal models, none have explored the impact of the biofilm, which is ubiquitous to this bacterium. Our study seeks to bridge that gap by demonstrating a bi-directional relationship between the biofilm of P. gingivalis and amyloid beta, one of the brain lesions involved in Alzheimers. By understanding risk factors involved in Alzheimers and their impact, we hope to provide valuable knowledge on prevention and treatment.

microbiology↗

bioRxiv2023

Attenuation of the CpG Island Methylator Phenotype and lack of WNT signaling activation restrains Kras mutant intestinal neoplasia

BackgroundSerrated neoplasia accounts for [~]25% of colorectal cancer. These cancers arise from serrated precursor lesions. Hyperplastic polyps initiated by either BRAF or KRAS mutation activating MAPK signalling are common, but premalignant sessile serrated lesions with KRAS mutation are rare. Here, we model Kras and Braf mutant neoplasia in vivo to compare histological, gene expression and DNA methylation manifestations associated with activation of these oncogenes. MethodsWe employ cre-recombinase dependent BrafV637 and KrasG12D murine models, and cross animals with those bearing the Villin-CreERT2 transgene to direct temporospatial activation of these oncogenes to the murine intestine. We examine histology, and genome-scale DNA methylation and gene expression via reduced representation bisulphite sequencing and RNA-Seq, respectively. We performed differential gene expression, methylation and pathways analysis to identify oncogene specific alterations. ResultsProlonged exposure to oncogenic Braf is associated with a time-dependent accumulation of murine serrated precursors (P=3x10-10) and advanced murine serrated lesions and invasive cancer (8x10- 8). Kras mutant animals acquire fewer precursor lesions (P=0.06) and have a significantly lower probability of developing advanced serrated lesions (P=0.004). Braf and Kras mutant animals develop pronounced hyperplasia, however the severity is significantly less in Kras mutant animals. Kras mutant advanced serrated lesions rarely develop aberrant WNT signaling activation (1/23). Gene expression profiling showed divergent transcriptomic profiles between Braf and Kras mutant intestines, with the former overexpressing genes associated with immune and inflammatory signaling. Deconvolution analysis revealed a comparably higher macrophage infiltrate (P=0.025) and upregulation of M1 macrophage gene sets in the Braf mutant intestine (P=0.0008), contributing to chronic inflammatory signalling. Both Kras and Braf mutations lead to accumulation of substantial temporal DNA methylation alterations, however a subset of CpG sites (1,306) show an attenuated rate of DNA methylation accumulation in the Kras mutant intestine compared with Braf mutant animals. ConclusionsIn this study, we show that Kras mutation can induce serrated intestinal neoplasia, however the latency period and penetrance is significantly lower when compared with Braf mutation. Aberrant WNT signalling is common in lesions arising in the context of Braf mutation, but rare in Kras mutant neoplasms. We show marked transcriptomic disparities between these models, with a tendency for the Braf mutant intestine to upregulate immunological processes. Our DNA methylation analysis reveals an attenuated CIMP-like phenotype that is specific to the Kras mutant intestine, consistent with our previous works in humans. These data have significant implications for our understanding of how MAPK-induced neoplasia develops within the intestine. SynopsisBRAF and KRAS mutant hyperplastic polyps have disparate malignant potential and the reason for this is unclear given both oncogenes activate MAPK signalling. We show that the DNA methylation alterations that follow Kras mutation are attenuated and that hyperactivation of WNT signaling is rare, providing a molecular mechanism that restrains malignant transformation.

cancer biology↗

bioRxiv2023

CrWRKY42 positively regulates chlorophyll degradation and carotenoid biosynthesis in citrus

Chlorophyll degradation and carotenoid biosynthesis, which occur almost simultaneously during fruit ripening, are essential for coloration and nutritional value of fruits. However, the synergistic regulation of these two processes at transcriptional level remains largely unknown. Here, we identified a novel WRKY transcription factor CrWRKY42 from the transcriptome data of the yellowish bud mutant Jinlegan tangor (MT) and its wild type Shiranuhi tangor (WT), which was involved in the transcriptional regulation of both chlorophyll degradation and carotenoid biosynthesis pathways. CrWRKY42 activated the expression of {beta}-carotene hydroxylase 1 (CrBCH1) by directly binding to its promoter. Overexpression and interference of CrWRKY42 in citrus calli demonstrated that CrWRKY42 promoted carotenoid accumulation by inducing the expression of multiple carotenoid biosynthetic genes. Further assays confirmed that CrWRKY42 also directly bound to and activated the promoters of the genes involved in the carotenoid biosynthesis, including phytoene desaturase (CrPDS) and lycopene {beta}-cyclase 2 (CrLCYB2). In addition, CrWRKY42 could also bind to the promoter of STAY-GREEN (CrSGR) and activated its expression, thus promoting chlorophyll degradation. Overexpression and silencing of CrWRKY42 in citrus fruits indicated that CrWRKY42 positively regulated chlorophyll degradation and carotenoid biosynthesis by synergistically activating the expressions of genes involved in both pathways. In conclusion, our data revealed that CrWRKY42 acted as a positive regulator of chlorophyll degradation and carotenoid biosynthesis to alter the conversion of citrus fruit color. Our findings provide insight into the complex transcriptional regulation of chlorophyll and carotenoid metabolism during fruit ripening. One Sentence SummaryThe CrWRKY42 transcription factor coordinates chlorophyll degradation and carotenoid biosynthesis by directly regulating genes involved in these pathways to alter the conversion of citrus fruit color.

molecular biology↗

bioRxiv2023

Single-molecule digital sizing of proteins in solution

Proteins constitute the molecular machinery of life and exert their biological function by interacting with other proteins, as well as by assembling into biomolecular complexes and higher order structures. Characterizing the sizes, interactions, and assembly states of proteins is thus key for understanding the normal functional behavior of proteins and for elucidating aberrant processes and interactions that can lead to dysfunction and disease. However, the physical characterization of proteins has remained a challenging problem due to the inherent compositional heterogeneity of protein mixtures as well as the polydisperse nature of protein complexes. Here, we address this challenge by demonstrating measurements of molecular diffusivity of single proteins and protein assemblies in microchannels using single-molecule fluorescence detection. The approach, termed single-molecule microfluidic diffusional sizing (smMDS), allows individual molecules to be counted directly, that is, in a digital manner, to enable calibration-free single-molecule diffusional-sizing-based monitoring of protein hydrodynamic radii even within heterogenous multicomponent mixtures. Applying smMDS to a variety of protein systems, we show that the high sensitivity provided by smMDS enables ultrasensitive sizing of proteins down to the femtomolar concentration range. We further demonstrate the applicability of the approach towards affinity profiling of protein interactions at the single-molecule level and illustrate the potential of smMDS in resolving different assembly states of high- and low-molecular weight protein oligomers. Furthermore, we highlight the digital nature of the detection process by sizing multiple protein species within complex aggregation mixtures. Finally, we apply the approach to characterize nanoscale clusters of a phase separating protein system. Taken together, smMDS constitutes a versatile approach for digital, in-solution characterization of the sizes, interactions, and assembly states of proteins. We anticipate that smMDS will facilitate the discovery of new biomolecular mechanisms of proteins and will find broad applicability in the analysis of protein complexes in the biological, biophysical, and biomedical sciences, and beyond.

biophysics↗

bioRxiv2023

SALL4B, not targeted by IMiD, is important for SALL4-mediated tumorigenesis

Immunomodulatory (IMiD) drugs have shown a prominent therapeutic activity in hematologic malignancies; however, their usage in solid tumors is limited. The oncofetal protein SALL4 is essential for cancer cell survival. While IMiDs can induce SALL4 degradation, they fail to induce cell death in SALL4-expressing cancer cell lines. Here, we observed that this inefficacy arose from their selective degradation of the long SALL4 isoform, while sparing the short SALL4B isoform. Selective silencing of SALL4B phenocopied total SALL4 depletion by inducing cancer apoptosis, underscoring the critical role of SALL4B in cancer maintenance. Recognizing that IMiDs cant degrade SALL4B, we performed a high-throughput screen to identify compound(s) that could achieve this. We identified a small molecule compound that degrades both SALL4 isoforms with enhanced potency towards SALL4B in a cereblon- and proteasome-dependent manner. This compound suppressed cancer cell proliferation and attenuated tumor development in both cell line and patient-derived xenograft models. Transcriptomic analyses further revealed convergent effects of genetic and pharmacologic SALL4B depletion on DNA damage response and replication pathways. Together, these findings identify SALL4B as the therapeutically relevant isoform in SALL4-dependent cancers and establish isoform-aware targeted degradation as a strategy to overcome the limitation of IMiDs in solid tumors. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/548071v2_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@99670dorg.highwire.dtl.DTLVardef@13ca58forg.highwire.dtl.DTLVardef@998e7eorg.highwire.dtl.DTLVardef@15a1875_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract | Identification of QE: a non-IMiDs degrader capable of degrading both SALL4A and SALL4B, triggers anti-cancer effects beyond IMiDs, and Impacts of QE on Key Validated SALL4B Targets and Pathways C_FIG

cancer biology↗

bioRxiv2022

FAM76B regulates NF-κB-mediated inflammatory pathway by influencing the translocation of hnRNPA2B1

FAM76B has been reported to be a nuclear speckle localized protein with unknown function. In this study, FAM76B was first demonstrated to inhibit the NF-{kappa}B-mediated inflammatory pathway by affecting the translocation of hnRNPA2B1 in vitro. We further showed that FAM76B suppressed inflammation by regulating the NF-{kappa}B pathway in vivo using a traumatic brain injury (TBI) model in FAM76B knockout mice. Lastly, FAM76B was shown to interact with hnRNPA2B1 in human tissues taken from patients with acute, organizing, and chronic TBI, and with different neurodegenerative diseases. The results suggested that FAM76B mediates neuroinflammation by influencing the translocation of hnRNPA2B1 in vivo during TBI repair and neurodegenerative diseases. In summary, we for the first time demonstrated the role of FAM76B in regulating inflammation and further showed that FAM76B could regulate the NF-{kappa}B-mediated inflammatory pathway by affecting hnRNPA2B1 translocation, which provides new information for studying the mechanism of inflammation regulation.

cell biology↗

bioRxiv2022

Dissecting the cell of origin of aberrant SALL4 expression in myelodysplastic syndrome

Myelodysplastic syndrome (MDS) is a group of heterogeneous diseases characterized by cytologic dysplasia and cytopenias resulting from ineffective hematopoiesis. Oncofetal protein SALL4 is a known oncogene in MDS and its baseline expression level serves as a prognostic biomarker for MDS at the time of diagnosis. In addition, a recent study showed that SALL4 upregulation following hypomethylating agent treatment in MDS patients correlates with poor outcomes. Despite its important mechanistic and diagnostic significance, the cellular identity of bone marrow cells with aberrant SALL4 expression in MDS patients remains unknown. In this study, we analyzed MDS bone marrow cells on single cell level by mass cytometry (CyTOF) and found that SALL4 was mainly aberrantly expressed in the hematopoietic stem and progenitor cells (HSPC) as well as myeloid lineages. Within the HSPC population from MDS patients, SALL4 and p53 were co-expressed, with the highest co-expressing clones harboring pathogenic TP53 mutations. Overall, our study characterizes for the first time the aberrant SALL4 expression in primary MDS patient samples at a single-cell level. Further studies on the SALL4/p53 network for in-depth mechanistic investigation are needed in the future. Key PointsSALL4 expression in various MDS BM cells confirmed by mass cytometry (CyTOF). SALL4 and p53 double positive cells were predominantly found in the hematopoietic stem and progenitor cell (HSPC) population and associated with pathogenic TP53 mutation status.

cell biology↗

bioRxiv2022

Molecular architecture of the TasA biofilm scaffold in Bacillus subtilis

Many bacteria in nature exist in multicellular communities termed biofilms. Cells within biofilms are embedded in a primarily self-secreted extracellular polymeric matrix that provides rigidity to the biofilm and protects cells from chemical and mechanical stresses. In the Gram-positive model biofilm-forming bacterium Bacillus subtilis, TasA is the major protein component of the biofilm matrix, where it has been reported to form functional amyloid fibres contributing to biofilm structure and stability. The structure of TasA fibres, however, and how fibres scaffold the biofilm at the molecular level, is not known. Here, we present electron cryomicroscopy structures of TasA fibres, which show that rather than forming amyloid fibrils, TasA monomers assemble into filaments through donor strand complementation, with each subunit donating a {beta}-strand to complete the fold of the next subunit along the filament. Combining electron cryotomography, atomic force microscopy, and mutational studies, we show how TasA filaments congregate in three dimensions to form abundant fibre bundles that are essential for B. subtilis biofilm formation. This study explains the previously observed biochemical properties of TasA and shows, for the first time, how a bacterial extracellular globular protein can assemble from monomers into {beta}-sheet-rich fibres, and how such fibres assemble into bundles in biofilms. We establish a hierarchical, atomic-level assembly mechanism of biofilm scaffolding that provides a structural framework for understanding bacterial biofilm formation.

microbiology↗

bioRxiv2021

AlphaFold Protein Structure Database for Sequence-Independent Molecular Replacement

Crystallographic phasing recovers the phase information that is lost during a diffraction experiment. Molecular replacement is a dominant phasing method for the crystal structures in the protein data bank. In one form it uses a protein sequence to search a structure database for finding suitable templates for phasing. However, such sequence information is not always available such as when proteins are crystallized with unknown binding partner proteins or when the crystal is that of a contaminant. The recent development of AlphaFold has resulted in the availability of predicted protein structures for all proteins from twenty species. In this work, we tested whether AlphaFold-predicted E. coli protein structures were accurate enough for sequence-independent phasing of diffraction data from two crystallization contaminants for which we had not identified the protein. Using each of more than 4000 predicted structures as a search model, robust molecular replacement solutions were obtained which allowed the identification and structure determination of both structures, YncE and YadF. Our results advocate a general utility of AlphaFold-predicted structure database with respect to crystallographic phasing.

biochemistry↗

bioRxiv2021

Spores and extracellular matrix components impart molecular order in Bacillus subtilis biofilms.

Biofilms are multicellular microbial communities that encase themselves in an extracellular matrix (ECM) of secreted biopolymers and attach to surfaces and interfaces. Bacterial biofilms are detrimental in hospital and industrial settings, but they can be beneficial in agricultural contexts. An essential property of biofilms that grants them with increased survival relative to planktonic cells is phenotypic heterogeneity; the division of the biofilm population into functionally distinct subgroups of cells. Phenotypic heterogeneity in biofilms can be traced to the cellular level, however, the molecular structures and elemental distribution across whole biofilms as well as possible linkages between them remain unexplored. Mapping X-ray diffraction (XRD) across intact biofilms in time and space, we revealed the dominant structural features in Bacillus subtilis biofilms, stemming from matrix components, spores and water. By simultaneously following the X-ray fluorescence (XRF) signal of biofilms and isolated matrix components, we discovered that the ECM preferentially binds calcium ions over other metal ions, specifically, zinc, manganese and iron. These ions, remaining free to flow below macroscopic wrinkles that act as water channels, eventually accumulate and lead to sporulation. The possible link between ECM properties, regulation of metal ion distribution and sporulation across whole intact biofilms unravels the importance of molecular-level heterogeneity in shaping biofilm physiology and development. Significance StatementBiofilms are multicellular soft microbial communities that are able to colonize synthetic surfaces as well as living organisms. To survive sudden environmental changes and efficiently share their common resources, cells in a biofilm divide into subgroups with distinct functions, leading to phenotypic heterogeneity. Here, by studying intact biofilms by synchrotron X-ray diffraction and fluorescence, we revealed correlations between biofilm macroscopic architectural heterogeneity and the spatio-temporal distribution of extracellular matrix, spores, water and metal ions. Our findings demonstrate that biofilm heterogeneity is not only affected by local genetic expression and cellular differentiation, but also by passive effects resulting from the physicochemical properties of the molecules secreted by the cells, leading to differential distribution of nutrients that propagates through macroscopic length scales.

microbiology↗