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Xu, B.

Publications and source records attributed to Xu, B..

At least 91 records · Page 5Linked to original sources

Benchmarking single cell transcriptome matching methods for incremental growth of reference atlases

BackgroundThe advancement of single cell technologies has driven significant progress in constructing a multiscale, pan-organ Human Reference Atlas for healthy human cells. Many multi-faceted cell atlases for different organs, species, and diseases now exist, though challenges remain in harmonizing cell types and unifying nomenclature among respective cell atlases. Multiple machine learning and artificial intelligence methods, including models pre-trained on large-scale cell atlas datasets, are publicly available for single cell community users to computationally map their cell clusters to the cell atlases. ResultsThis study benchmarks seven computational tools for cell type matching and label transfer - Azimuth, CellTypist, CellHint, FR-Match, scArches, scPred, and singleR - in ten organ systems. Using healthy lung as an exemplary organ, when matching the well-annotated cell types in two atlases - the Human Lung Cell Atlas (HLCA) and the LungMAP Single-Cell Reference (CellRef), variations in the matching accuracy were observed, especially in rare cell types, underlining the need for a consensus strategy using a selective set of computational methods. In the meta-analysis, the benchmarked methods were used to incrementally integrate 61 cell types from HLCA and 48 from CellRef, resulting in a cell meta-atlas of 41 matched, 20 HLCA-, and 7 CellRef-specific cell types. Similar approach revealed 25 matched cell types existed in two independent kidney atlases. Generalizability of the benchmarking performances were further demonstrated in a variety of organ systems. ConclusionThis study reveals complementing strengths of the benchmarked methods and presents a framework for incremental growth of cell types in cell atlases.

bioinformatics↗

Genetic architecture of the S-locus supergene revealed in a tetraploid distylous species

SummaryO_LIHeterostyly is a polymorphic floral adaptation controlled by supergenes and maintained in populations by disassortative mating. The molecular basis of distyly has been investigated in several unrelated families. Previous studies have been limited to diploid species and have not included Rubiaceae, which has the highest number of heterostylous species. C_LIO_LIHere, we investigate the genetic architecture of tetraploid Schizomussaenda henryi (Rubiaceae) to identify candidate style-length genes, evidence for hemizygosity and the potential role of gene duplication in the evolution of the S-locus. Chromosome-level genome assemblies and transcriptomic approaches identified the S-locus region comprised of four hemizygous genes. C_LIO_LIThe candidate gene SchzAUX22 may regulate style length and filament growth by acting in the auxin signaling pathway. Comparative studies of the two sub-genomes of S. henryi indicated strong similarities and no significant sub-genome dominance, as expected from autotetraploidy. Evidence from haplotype-resolved assemblies of a short-styled plant indicated that it possessed the ssSS genotype, consistent with autotetraploidy, which was estimated to have originated [~]3.6 Mya. Analysis of Ks values between S-locus genes and their paralogs indicated that the S-locus likely originated through stepwise duplication. C_LIO_LIOur study provides comprehensive genomic analysis of distyly in a polyploid and demonstrates that despite whole genome doubling the S-locus supergene remains intact and functional as an outbreeding mechanism. Our results contrast with many other heterostylous lineages where polyploidy is associated with breakdown of the polymorphism and transitions to self-fertilization. C_LI

plant biology↗

Genomic and Transcriptomic Signatures of SETD1A Disruption in Human Excitatory Neuron Development and Psychiatric Disease Risk

Genetic disruption of SETD1A markedly increases the risk for schizophrenia. To elucidate the underlying mechanisms, we generated isogenic organoid models of the developing human cerebral cortex harboring a SETD1A loss-of-function schizophrenia risk mutation. Employing chromatin profiling combined with RNA sequencing, we identified high-confidence SETD1A target genes, analyzed the impact of the mutation on SETD1A binding and transcriptional regulation and validated key findings with orthogonal approaches. Disruption of SETD1A function disturbs the finely tuned temporal gene expression in the excitatory neuron lineage, yielding an aberrant transcriptional program that compromises key regulatory and metabolic pathways essential for neurodevelopmental transitions. Although overall SETD1A binding remains unchanged in mutant neurons, we identified localized alterations in SETD1A binding that correlate with shifts in H3K4me3 levels and gene expression. These changes are enriched at enhancer regions, suggesting that enhancer-regulated genes are especially vulnerable to SETD1A reduction. Notably, target genes with enhancer-bound SETD1A are primarily linked to neuronal functions while those with promoter-bound SETD1A are enriched for basic cellular functions. By mapping the SETD1A binding landscape in excitatory neurons of the human fetal frontal cortex and integrating multimodal neuroimaging and genetic datasets, we demonstrate that the genomic context of SETD1A binding differentially correlates with macroscale brain organization and establish a link between SETD1A-bound enhancers, schizophrenia-associated brain alterations and genetic susceptibility. Our study advances our understanding of the role of SETD1A binding patterns in schizophrenia pathogenesis, offering insights that may guide future therapeutic strategies.

neuroscience↗

Commensal-derived Trehalose Monocorynomycolate Triggers γδ T Cell-driven Protective Ocular Barrier Immunity

Commensals shape host physiology through molecular crosstalk with host receptors. Identifying specific microbial factors that causally influence host immunity is key to understanding homeostasis at the host-microbe interface and advancing microbial-based therapeutics. Here, we identify trehalose monocorynomycolate (TMCM) from Corynebacterium mastitidis (C. mast) as a potent stimulator of IL-17 production by {gamma}{delta} T cells at the ocular surface. Mechanistically, TMCM-driven IL-17 responses require both IL-1 signals and {gamma}{delta} TCR signaling, which also supports endogenous {gamma}{delta} T cell IL-1R1 expression. Notably, synthetic TMCM alone is sufficient to mimic the effect of C. mast in inducing {gamma}{delta} T cell immunity and protect against pathogenic corneal infection. Our findings establish TMCM as a key mediator of commensal-driven immune defense, highlighting its potential as a {gamma}{delta} T cell adjuvant and a microbiome-informed therapeutic to enhance IL-17-driven protection at barrier sites such as the ocular surface. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/643820v1_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@63139forg.highwire.dtl.DTLVardef@9d6978org.highwire.dtl.DTLVardef@775e37org.highwire.dtl.DTLVardef@ca84b6_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LICorynomycolates enable ocular C. mast colonization and protective IL-17 immunity C_LIO_LITMCM drives IL-17 from {gamma}{delta} T cells through TCR and IL-1R signaling C_LIO_LI{gamma}{delta} TCR signaling maintains the expression of endogenous IL-1R1 C_LIO_LISynthetic TMCM mimics the ability of C. mast to induce {gamma}{delta} T cell immunity in the eye C_LIO_LITMCM protects against P. aeruginosa keratitis, highlighting its therapeutic potential C_LI

immunology↗

LOCATE: using Long-read to Characterize All Transposable Elements

Transposons constitute [~]45% of the human genome, driving gene evolution and contributing to disease, but their repetitive nature complicates the identification of new insertions. We present LOCATE (Long-read to Characterize All Transposable Elements), an algorithm using long-read sequencing to detect and assemble transposon insertions. LOCATE outperforms existing tools on simulated datasets and achieves the best performance in two previous benchmarks, as well as in a new benchmark we constructed using real biological datasets. Applying LOCATE to public datasets revealed that pre-existing Alu copies create two hotspots for Alu and LINE1 insertions: the A-rich linker and the poly(A) tail. We further observed a preference for self-insertions over non-self-insertions in Alu and LINE1, suggesting a "feedforward" transposition mechanism in which Alu and LINE1 RNA transcripts target the hotspots of their source copies to generate new insertions. LOCATE enhances our ability to study transposons and their role in genome dynamics.

bioinformatics↗

Themis dominates T cell exhaustion by regulation of TCR and PD-1 signaling

T cell exhaustion is important to protect the host from immunopathology during chronic viral infection, but it also impairs T cell anti-tumor immunity1-5. A fundamental unresolved question is whether and how T cell exhaustion is determined at the onset of TCR signaling6-8. Here we report an unexpected role of Themis, a TCR-proximal signaling molecule9, in T cell exhaustion. Chronic viral infection in mice usually leads to T cell exhaustion and survival of the host. Surprisingly, Themis T-cell conditional knockout mice died from severe CD8+-dependent lung immunopathology in chronic viral infection, showing Themis importance in establishing T cell exhaustion. We found that Themis-deficient CD8+ T cells were hyperactivated at the single-cell level - producing more TNF and IFN{gamma} compared to wild-type counterparts - but defective in population-level expansion. Moreover, TCF-1 and TOX expression were inhibited in Themis-deficient CD8+ T cells, thereby impairing differentiation of exhausted T cell precursors (T-pex) and maintenance of terminally exhausted T cells (T-ex), respectively. Mechanistically, Themis initially promotes TCR signaling to induce PD-1 expression and subsequently mediates PD-1 signaling. In the latter, Themis binds to PD-1 and promotes PD-1 phosphorylation and its recruitment of SHP2, thereby acting as a negative regulator to inhibit T cell effector functions. Without Themis, the orderly regulation of TCR and PD-1 signaling, and therefore exhaustion, is disrupted. Thus, our results unequivocally demonstrate that Themis-mediated early TCR signaling plays a decisive role in T cell exhaustion and provide a novel mechanism of PD-1 signaling through Themis.

immunology↗

Candida auris skin colonization is mediated by Als4112 and interactions with host extracellular matrix proteins

Candida auris is an often multidrug-resistant fungal pathogen notorious for persistent skin colonization and transmission in healthcare settings. However, the mechanisms driving its adherence to skin remain poorly understood. Here, we developed in vitro systems to allow for detailed analysis of early skin colonization events and identified critical host and pathogen mediators of attachment. Across multiple strains and clades of C. auris, we identified that Als4112, a conserved adhesin, is required for skin colonization via keratinocyte attachment and direct interactions with host extracellular matrix (ECM) proteins, especially basement membrane proteins such as laminin. In a murine epicutaneous infection and human skin explants, deletion of ALS4112 significantly reduced skin colonization, underscoring its essential role in establishing cutaneous persistence. Als4112 also contributes to systemic infection, highlighting the connection between adherence and pathogenicity in this organism. Finally, coating plastic and catheter surfaces with collagen I or III markedly inhibited C. auris attachment and biofilm formation, offering an approach to curb nosocomial transmission. Our study highlights the critical role of Als4112 in C. auris colonization and virulence in vivo, making it an attractive target for future vaccine development. This study also explores the potential of specific collagen coatings as a novel strategy to prevent C. auris adherence to abiotic surfaces, offering new therapeutic avenues to control the spread of C. auris in healthcare settings.

microbiology↗

Novel Pipelines to Extract Differences in Proteome Dynamics Based on Health Status

Understanding dynamics and co-regulatory patterns in the human proteome is a promising path for unraveling the molecular basis of health and disease. Nevertheless, there remains an open challenge in extracting concise information from high-throughput proteomic data that can effectively characterize and predict health. We develop novel statistical and computational pipelines to tackle this problem in a longitudinal saliva proteomics data set collected throughout the awakening response in six healthy controls and six subjects with severe mitochondrial disease (MitoD), a clinical condition caused by genetic mitochondrial defects that affects cellular energy transformation and alters multiple dimensions of health. We undertook three independent unsupervised approaches to characterize proteome dynamics and assessed their ability to separate MitoD individuals from controls. First, we designed a permutation test to detect the global difference in the proteomic co-regulation structure between healthy and unhealthy subjects. Second, we performed non-linear embedding and cluster analysis on elasticity to capture a more complicated relationship between health and the proteome. Third, we developed a machine learning algorithm to extract low-dimensional representations of the proteome dynamic and use them to cluster subjects into healthy and unhealthy groups without any knowledge of their true status. All three methods showed clear differences between MitoD individuals and controls. Our results revealed a significant and consistent association between MitoD status and the saliva proteome at multiple levels during the awakening response, including its dynamic change, co-regulation structure, and elasticity. This connection is not restricted to a few MitoD-specific proteins but spreads over a wide range of proteins from many body functions and pathways. Pipelines such as those shown here are the first step toward establishing interpretable and accurate prediction rules for health based on proteome dynamics.

bioinformatics↗

Loss of tumor cell MHC Class II drives insensitivity of BRAF-mutant anaplastic thyroid cancers to MAPK inhibitors

Cancer cells present neoantigens dominantly through MHC class I (MHCI) to drive tumor rejection through cytotoxic CD8+ T-cells. There is growing recognition that a subset of tumors express MHC class II (MHCII), causing recognition of antigens by TCRs of CD4+ T-cells that contribute to the anti-tumor response. We find that mouse BrafV600E-driven anaplastic thyroid cancers (ATC) respond markedly to the RAF + MEK inhibitors dabrafenib and trametinib (dab/tram) and that this is associated with upregulation of MhcII in cancer cells and increased CD4+ T-cell infiltration. A subset of recurrent tumors lose MhcII expression due to silencing of Ciita, the master transcriptional regulator of MhcII, despite preserved interferon gamma signal transduction, which can be rescued by EZH2 inhibition. Orthotopically-implanted Ciita-/- and H2-Ab1-/- ATC cells into immune competent mice become unresponsive to the MAPK inhibitors. Moreover, depletion of CD4+, but not CD8+ T-cells, also abrogates response to dab/tram. These findings implicate MHCII-driven CD4+ T cell activation as a key determinant of the response of Braf-mutant ATCs to MAPK inhibition.

cancer biology↗

Evidence for evolution of a new sex chromosome within the Marchantiales haploid plant lineage

Sex chromosomes have evolved independently in numerous lineages across the tree of life, in both diploid-dominant species, including many animals and plants, and the less studied haploid-dominant plants and algae. Strict genetic sex determination ensures that individuals reproduce by outcrossing. However, species with separate sexes (termed dioecy in diploid plants, and dioicy in haploid plants) may sometimes evolve different sex systems, and become monoicous, with the ability to self-fertilize. Here, we study dioicy-monoicy transitions in the ancient liverwort haploid plant lineage, using three telomere-to-telomere gapless chromosome-scale reference genome assemblies from the Ricciaceae group of Marchantiales. Ancestral liverworts are believed to have been dioicous, with U and V chromosomes (chromosome 9) determining femaleness and maleness, respectively. We confirm the finding that monoicy in Ricciocarpos natans evolved from a dioicous ancestor, and most ancestrally U chromosomal genes have been retained on autosomes in this species. We also describe evidence suggesting the possible re-evolution of dioicy in the genus Riccia, with probable de novo establishment of a sex chromosome from an autosome (chromosome 5), and further translocations of genes from the new sex chromosome to autosomes. Our results also indicated that m-chromosomes are consistent genomic features, and may have evolved independently from sex chromosomes in Ricciocarpos and Riccia lineages.

evolutionary biology↗

Persistent interferon signaling that causes sensory neuron plasticity and pain in arthritis

While the inflammatory processes in rheumatoid arthritis have been described, mechanisms driving pain are poorly defined. Here, we used a multitude of approaches to uncover the neural basis, mediators, intracellular signaling pathway and the mechanism of inflammatory pain. In cartilage autoantibody-induced arthritis mice, an early immune-activation and a cytokine storm were mainly driven by vascular cells and monocyte/macrophages in the dorsal root ganglion. However, persistently elevated interferons and receptor-activation of the MNK1/2-eIF4E signaling pathway at all disease phases caused sensory-motor dysfunction and pain by inducing hyperexcitability and sensitization of Gfra3+ sensory neurons. Like mice, human sensory neurons expressed interferon receptors and interferons were elevated only in individuals with painful rheumatoid arthritis. Signaling pathway inhibition in vivo reversed pain and restored limb function. The finding that joint pain before and during arthritis is caused by a defined cytokine and signaling pathway holds promise for targeted therapies for pain relief in arthritis.

neuroscience↗

Cycling Molecular Assemblies for Selective Cancer Cell Golgi Disruption

The Golgi apparatus is a critical organelle responsible for intracellular trafficking and signaling, orchestrating essential processes such as protein and lipid sorting1-5. Dysregulation of its function has been implicated in various pathologies, including obesity, diabetes, and cancer, highlighting its importance as a potential therapeutic target. Despite this, the development of tools to selectively target the Golgi in specific cell types remain a significant unmet challenge in imaging and drug discovery. Golgi-specific enzyme activities, such as those mediated by protein acyltransferases and thioesterases6, offer an untapped opportunity to develop subcellularly localized therapeutics. Current approaches predominantly rely on direct protein binding but lack the necessary cell selectivity7, underscoring the unmet need for innovative strategies to selectively disrupt Golgi function in cancer cells. Here, we report the development of cycling molecular assemblies (CyMA), a novel class of small peptide derivatives (e.g., dipeptides), which exploit the unique enzymatic environment of the Golgi to establish futile cycles of reversible S-acylation. These assemblies selectively accumulate in cancer cell Golgi, interfering with protein S-acylation cycles and disrupting organelle homeostasis. CyMA impair key Golgi functions, including protein trafficking, glycosylation, and secretion, while demonstrating selective sparing hepatocytes and immune cells such as M1 macrophages. This selective activity represents a paradigm shift, utilizing an enzyme switch and leveraging intracellular environment rather than direct protein binding. Unlike conventional approaches, CyMA reduce tumor growth, drug resistance, and metastasis by pleiotropically disrupting Golgi related functions. By demonstrating the potential of futile cycles as a therapeutic strategy8, this study introduces a generalizable method for targeting organelle-specific enzyme activities. These findings not only underscore the therapeutic potential of CyMA in cancer but also pave the way for future applications in other Golgi-associated diseases.

biochemistry↗

Long-read sequencing reveals extensive size variation and suggests evolutionary patterns of expansion in bivalve mitogenomes

Bilaterian mitochondrial genomes are generally of conserved size and gene content, typically ranging from 14 to 20 kb and coding 37 genes. However, the major exception to this rule has been found in many bivalve species which allow the presence of long unassigned region (regions that are functionally unassigned). It is still unclear whether there are universal patterns to expansions across bivalves. Additionally, the prevalence of highly repetitive sequences within complex mitogenomes has prevented its complete assembly and led to its systematic omission from mitogenomic analyses. Here, leveraging the growing genomic resources in Mollusca, we devised a mitogenome assembly pipeline using long-read sequencing to characterize mitogenome features in 178 mollusk species. Comparing our assemblies with reference mitogenomes based on Sanger/short-read sequencing, we identified missing sequences, repeats and novel gene duplications and found that bivalves exhibit an exceptional diversity in mitogenome size compared to other mollusks. Subsequently, we investigated the factors potentially influencing mitogenome size, the potential functional elements and the patterns of expansion regions. Furthermore, we discussed that the possible selective pressure on mitogenome size and hypothesized that the variability of bivalve mitogenomes may be linked to innate immunity. Our findings underscore the significance of long-read sequencing in elucidating complex mitogenomes and provide new insights into the evolution of bivalve mitogenomes.

genomics↗

Rigosertib reverses hypertrophic cardiomyopathy in RAF1-associated Noonan syndrome

BackgroundRASopathies constitute a group of rare genetic disorders caused by mutations in genes that reside along the canonical Ras/MAPK signaling pathway, affecting cell growth and differentiation. These syndromes, which include conditions like Noonan syndrome (NS), are characterized by developmental delays, distinctive facial dysmorphia, and a variety of cardiac defects, notably hypertrophic cardiomyopathy (HCM). Despite their prevalence and impact, therapeutic options for RASopathies remain limited. Rigosertib, a novel dual Ras/MAPK and PI3K/AKT pathway inhibitor, is currently in clinical trials for treatment of melanoma and recessive dystrophic epidermolysis bullosa. Here, we identify rigosertib as a candidate therapy for RAF1-associated HCM. Methods and ResultsOur Drosophila screen of clinically relevant drugs and compounds identified rigosertib as broadly effective across a panel of transgenic RASopathy fly transgenic models, indicating that rigosertib may be effective against multiple disease isoforms. Analysis of a Drosophila model targeting a RAF1L613V transgene to the heart found that rigosertib reduced aspects of cardiac hypertrophy. Rigosertib treatment prevented or regressed cellular hypertrophy in human induced pluripotent stem cell-(iPSC-) derived cardiomyocytes homozygous for the NS-associated RAF1S257L allele. We extended these findings to a mammalian model, using Raf1L613V/+ KI mice to explore the therapeutic implications of rigosertib on RAF1-driven HCM. Longitudinal six-week treatment with rigosertib in these mice resulted in significant improvement in left ventricular chamber dimension and posterior wall thickness, total heart mass, size of individual cardiomyocytes (CMs), as well as reversal of cardiac hypertrophy. Rigosertib treatment also led to normalized fetal gene expression and inhibition of ERK and AKT pathway activities in primary CMs isolated from Raf1L613V/+ mice. Cardiac function, as assessed by echocardiography, showed significant improvement in ejection fraction and fractional shortening, with molecular studies confirming downregulation of hypertrophic markers and signaling pathways. Together with the Drosophila data, these mammalian results support the potential and use for rigosertib to reverse pathological hypertrophy in NS through targeted pathway inhibition in patients. Moreover, in addition to its effects in the heart, rigosertib treatment in mice also significantly improved other NS-associated syndromic features, including increasing bone growth and correcting craniofacial abnormalities. ConclusionsTaken together, our findings suggest rigosertib effectively normalizes and reverses RASopathy-associated HCM as well as other NS-associated syndromic features, supporting its potential for development as a promising treatment for RAF1-associated HCM and, potentially, other RASopathies-dependent pathologies. This study not only highlights the therapeutic potential of rigosertib but also demonstrates the utility of an integrated approach using Drosophila, iPSC and mammalian models to elucidate drug effects across complex biological systems.

molecular biology↗

YY1 Enhances the Stability of HIF-1α Protein by Interacting with NUSAP1 in Macrophages within the Prostate Cancer Microenvironment

Immune checkpoint therapy for prostate cancer (PCa) has failed in clinical trials; however, the precise underlying mechanisms involved remain elusive. PCa, a classic "immune-cold" tumor, is characterized by an immunosuppressive tumor microenvironment. Within this milieu, macrophages, the predominant immune cell population, have a propensity to infiltrate the hypoxic zones of tumors. In a previous study, we showed that Yin Yang 1 (YY1) is highly expressed in macrophages in PCa tissues. Here, through multiplexed imaging mass cytometry (IMC) of a PCa tissue microarray, we further demonstrate that YY1+ macrophages aggregate in hypoxic areas of tumors and that hypoxia promotes the phase separation of YY1 in the nucleus by increasing YY1 tyrosine phosphorylation in macrophages. Furthermore, YY1 binds to NUSAP1 and promotes the SUMOylation of HIF-1, which promotes phase separation and stabilization of the HIF-1 protein. We also demonstrated that either treatment with a small molecule inhibitor (tenapanor) to decrease the YY1-NUSAP1-HIF-1 interaction or myeloid-specific YY1 gene knockout impairs subcutaneous PCa tumor formation. Furthermore, we present a first-generation tetrahedral DNA nanostructure (TDN) based on the proteolysis targeting chimera (PROTAC) technique, named YY1-DcTAC, which targets and degrades YY1 in tumor-associated macrophages. In a PCa mouse model, YY1-DcTAC exhibited prolonged drug efficacy, robust macrophage-specific responsiveness, potent antitumor effects, and increased CD8+ T cell tumor infiltration. In summary, our findings underscore the pivotal role of YY1 within the hypoxia/HIF-1 pathway in tumor-associated macrophages and affirm the therapeutic potential of targeting YY1 for treating PCa.

cancer biology↗

SIRT4 enhances the cytotoxicity of NK cells toward hepatic stellate cells and reverses liver fibrosis via AMPKα/P-p53/NKG2DL pathway

Natural killer (NK) cells exhibit antifibrotic properties in liver fibrosis (LF) by suppressing activated hepatic stellate cells (HSCs). SIRT4, a mitochondrial regulatory protein, plays a crucial role as a link between energy metabolism and cell viability. However, the role of SIRT4 in the cytotoxicity of NK cells toward HSCs remains unexplored. In this study, we found that SIRT4 was markedly downregulated in both mouse models and patients with LF. The loss of SIRT4 reduced the cytotoxicity of NK cells against activated HSCs, while its overexpression enhanced this cytotoxicity. Mechanistically, SIRT4 activates AMPK to promote p53 phosphorylation and facilitates its nuclear translocation, which induces the transcription of ULBP1 and ULBP2, members of the NK group 2D Legend (NKG2DL) family of molecules. Finally, overexpression of SIRT4 activated mouse hepatic NK cells and reversed LF by constructing adeno-associated viruses (AAV) that specifically target HSCs. Thus, SIRT4 is essential for the cytotoxicity of NK cells toward HSCs, and AAV8-pGAFP-SIRT4 may serve as a therapeutic approach for managing LF. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/615768v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@1e6e987org.highwire.dtl.DTLVardef@edcc2dorg.highwire.dtl.DTLVardef@1f7c2bcorg.highwire.dtl.DTLVardef@111d81d_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Expanding the CRISPR toolbox by engineering Cas12a orthologs of metagenomic discovery

Cas12a (Cpf1) is a CRISPR-associated nuclease with broad utility in genome editing and molecular diagnostic applications. However, the widespread adoption of CRISPR-Cas12a nucleases and their variants has been hindered by the requirement for a specific protospacer adjacent motif (PAM), relatively low CRISPR RNA (crRNA) activity and the inability to multiplex nucleic acid detection alone. To overcome these limitations, we employed a comprehensive framework combined with AlphaFold2 to de novo mine 1,261 previously unexploited Cas12a orthologs from the global microbiome. Following experimental analysis, we identified the most promising 21 Cas12a nuclease orthologs and designated them "Genie scissor 12" (Gs12). Our analysis uncovered two exceptional variants among these newly identified orthologs: Gs12-10, a first natural PAM-less Cas12a ortholog, which can recognize 52 distinct PAM types, representing a significant 1.8-fold expansion in recognition range compared to the relative LbCas12a PAM; and Gs12-7MAX, an engineered variant of Gs12-7 that exhibited 1.27-fold higher editing efficiency than enAsCas12a-HF. Furthermore, we harnessed Gs12-1, Gs12-4, Gs12-9, and Gs12-18, along with their corresponding engineered crRNAs, to develop a powerful four-channel multiplexed CRISPR-based nucleic acid detection system. The discovery of diverse functions in Cas12a offers a deeper understanding of the CRISPR/Cas12a family. Also, it holds great promise for expanding its applications and uncovering the untapped potential of other CRISPR/Cas systems. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=189 SRC="FIGDIR/small/615316v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@bee75forg.highwire.dtl.DTLVardef@1480f61org.highwire.dtl.DTLVardef@1e9cbc9org.highwire.dtl.DTLVardef@4211b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

Variational inference of single cell time series

Time course single-cell RNA sequencing (scRNA-seq) enables researchers to probe expression dynamics at the resolution of individual cells. However, analyzing this rich data poses several challenges, including deconvolving the contributions of time and cell type, discriminating true dynamics from batch effects, and inferring per-cell dynamics despite cells being destroyed at each time point. We present SNOW (SiNgle cell flOW map), a deep learning algorithm that deconvolves single-cell time series into time-dependent and time-independent components. Using both synthetic and real scRNA-seq data, we show that SNOW constructs biologically meaningful latent spaces, removes batch effects, and generates realistic single-cell time series.

bioinformatics↗