Biology subjects

Yu, X.

Publications and source records attributed to Yu, X..

At least 181 records · Page 10Linked to original sources

bioRxiv2025

Reusing wasted bioresources for crop protection: Calcinated oyster shell powder enhances rhizospheric microbial-mediated suppression of root-knot nematodes

The root-knot nematode (RKN) Meloidogyne incognita is one of the most destructive plant-parasitic nematodes (PPNs) affecting crop production worldwide. Our earlier study revealed that calcinated oyster shell powder (OSP) effectively suppressed tobacco RKN disease. However, the suppression mechanism of OSP against RKNs remain unknown. Our study revealed that calcinated OSP reduced the tobacco root-knot index by more than 38% by inhibiting the migration of second-stage juveniles of Meloidogyne incognita (J2) in the soil. Furthermore, OSP reduced the J2 density in the tobacco rhizosphere by 43.69% and significantly increased the soil pH by 0.68; moreover, OSP increased the contents of soil exchangeable calcium (ExchCa) and exchangeable magnesium (ExchMg) by more than 50%. Moreover, soil properties, including ExchMg, ExchCa and pH, enhanced the microbial-mediated suppression of J2. Specifically, Proteobacteria and Gemmatimonadota dominated the microbial community suppressing RKN, and fungal richness contributed to the suppression of RKNs; in addition, Chloroflexi and Acidobacteria dominated the microbial community promoting RKN prosperity. Our study revealed that the reuse of wasted oyster shell powder as an innovative antagonist is a promising avenue for ecofriendly RKN management strategies. IMPORTANCEThere is increased demand for ecofriendly RKN management strategies, and this study is the first to propose that the reuse of wasted oyster shell powder as an innovative antagonist against RKNs is effective, and calcinated oyster shell powder can reduce tobacco root-knot index and Meloidogyne incognita (J2) density by inhibiting the migration of J2s and enhancing the microbially mediated suppression of J2s in the tobacco rhizosphere. Moreover, several soil microbial and physicochemical indicators, including the contents of soil exchangeable calcium, exchangeable magnesium, pH and the relative abundance of Proteobacteria, Gemmatimonadota, Chloroflexi and Acidobacteria in plant rhizosphere were suggested to guide the development of ecofriendly PPN management strategies.

microbiology↗

bioRxiv2024

Asynchronous Transitions from Hepatoblastoma to Carcinoma in High-Risk Pediatric Tumors

BackgroundPediatric hepatocellular tumors are most commonly classified as hepatoblastoma (HB) or hepatocellular carcinoma (HCC), yet a subset exhibits mixed histological and molecular features of both. These tumors, previously described as hepatoblastomas with carcinoma features (HBCs), include cases provisionally designated by the World Health Organization as hepatocellular neoplasm-not otherwise specified (HCN-NOS). Their biology remains poorly understood, with unresolved questions about their cellular composition and outcomes. In particular, it is unclear whether HBCs comprise hybrid cell populations with combined HB and HCC characteristics (HBC cells) or admixtures of distinct HB and HCC cells. MethodsWe performed multi-omics profiling--including snRNA-seq, snDNA-seq, and multi-region longitudinal bulk RNA and DNA sequencing--to characterize HBC composition, evolution, and treatment response. ResultsHBCs comprise heterogeneous mixtures of HB-like, HBC-like, and HCC-like molecular cell types. HBC outcomes are significantly worse than HB, and HBC cells are more chemoresistant than HB cells, with resistance shaped by their cell identity, genetic alterations, and embryonic differentiation stage. HBC cells originate from HB cells that were arrested at early hepatic stem cell development stages because of aberrant WNT signaling activation. Inhibition of WNT signaling promoted differentiation and enhanced sensitivity to chemotherapy. Furthermore, each analyzed HBC reflected a dynamic process of multiple HB-to-HBC and HBC-to-HCC transitions, underscoring their evolutionary complexity. ConclusionsMulti-omics profiling of HBCs revealed key findings about their biology and composition, demonstrating that they originate from HB precursors at early hepatic stem cell development stages and that their differentiation arrest depends on sustained aberrant WNT-signaling activity.

genomics↗

bioRxiv2024

An Expanded Registry of Candidate cis-Regulatory Elements for Studying Transcriptional Regulation

Mammalian genomes contain millions of regulatory elements that control the complex patterns of gene expression. Previously, The ENCODE consortium mapped biochemical signals across many cell types and tissues and integrated these data to develop a Registry of 0.9 million human and 300 thousand mouse candidate cis-Regulatory Elements (cCREs) annotated with potential functions1. We have expanded the Registry to include 2.35 million human and 927 thousand mouse cCREs, leveraging new ENCODE datasets and enhanced computational methods. This expanded Registry covers hundreds of unique cell and tissue types, providing a comprehensive understanding of gene regulation. Functional characterization data from assays like STARR-seq, MPRA, CRISPR perturbation, and transgenic mouse assays now cover over 90% of human cCREs, revealing complex regulatory functions. We identified thousands of novel silencer cCREs and demonstrated their dual enhancer/silencer roles in different cellular contexts. Integrating the Registry with other ENCODE annotations facilitates genetic variation interpretation and trait-associated gene identification, exemplified by discovering KLF1 as a novel causal gene for red blood cell traits. This expanded Registry is a valuable resource for studying the regulatory genome and its impact on health and disease.

genomics↗

bioRxiv2024

Dysregulation of Nitrosylation Dynamics Promotes Nitrosative Stress and Contributes to Cardiometabolic Heart Failure with Preserved Ejection Fraction

BackgroundRecent reports suggest increased myocardial iNOS expression leads to excessive protein s-nitrosylation, contributing to the pathophysiology of HFpEF. However, the relationship between NO bioavailability, dynamic regulation of protein s-nitrosylation by trans- and de-nitrosylases, and HFpEF pathophysiology has not been elucidated. Here, we provide novel insights into the delicate interplay between NO bioavailability and protein s-nitrosylation in HFpEF. MethodsPlasma nitrite, nitrosothiols (RsNO), and 3-nitrotyrosine (3-NT) were measured in HFpEF patients and in controls. Studies in WKY or ZSF1 obese rats were performed to evaluate HFpEF severity, NO signaling, and total nitroso-species (Rx(s)NO) levels. snRNA sequencing was performed to identify key genes involved in NO signaling and s-nitrosylation regulation. ResultsIn HFpEF patients, circulating RsNO and 3-NT were significantly elevated while nitrite, a biomarker for NO bioavailability, remained unchanged. In ZSF1 obese rats, NO bioavailability was significantly reduced while Rx(s)NO levels exhibited an age-dependent increase as HFpEF progressed. snRNA seq highlighted significant upregulation of a trans-nitrosylase, hemoglobin-beta subunit (HBb), which was corroborated in human HFpEF hearts1. Subsequent experiments confirmed HBb upregulation and revealed significant reductions in enzyme activity of two major de-nitrosylases, Trx2 and GSNOR in ZSF1 obese hearts. Further, elevated RxNO levels, increased HBb expression, and reduced activity of Trx2 and GSNOR were identified in the kidney and liver of the ZSF1 obese rats. ConclusionsOur data reveal circulating markers of nitrosative stress (RsNO and 3-NT) are significantly elevated in HFpEF patients. Data from the ZSF1 obese rat model mirror the results from HFpEF patients and reveal that pathological accumulation of RxNO/nitrosative stress in HFpEF may be in part, due to the upregulation of the trans-nitrosylase, HBb, and impaired activity of the de-nitrosylases, Trx2 and GSNOR. Our data suggest that dysregulated protein nitrosylation dynamics in the heart, liver, and kidney contribute to the pathogenesis of cardiometabolic HFpEF. Translational PerspectiveOur findings describe for the first time that circulating RsNO and 3-NT are significantly upregulated in HFpEF patients suggesting systemic nitrosative stress in HFpEF, and demonstrate a profound disconnect between insufficient physiological NO signaling and pathological nitrosative stress in HFpEF, which is in stark contrast to HFrEF in which both NO bioavailability and protein s-nitrosylation are attenuated. Further, this study provides novel mechanistic insights into a critical molecular feature of HFpEF in humans and animal models: nitrosative stress arises predominantly from imbalance of trans-nitrosylases and de-nitrosylases, thereby leading to impaired NO bioavailability concomitant with increased protein s-nitrosylation. Importantly, these perturbations extend beyond the heart to the kidney and liver, suggesting HFpEF is characterized by a systemic derangement in trans- and de-nitrosylase activity and providing a unifying molecular lesion for the systemic presentation of HFpEF pathophysiology. These findings have direct clinical implications for the modulation of NO levels in the HFpEF patient, and indicate that restoring the balance between trans- and denitrosylases may be novel therapeutic targets to ameliorate disease symptoms in HFpEF patients.

physiology↗

bioRxiv2024

HapCNV: A Comprehensive Framework for CNV Detection in Low-input DNA Sequencing Data

Copy number variants (CNVs) are prevalent in both diploid and haploid genomes, with the latter containing a single copy of each gene. Studying CNVs in genomes from single or few cells is significantly advancing our knowledge in human disorders and disease susceptibility. Low-input including low-cell and single-cell sequencing data for haploid and diploid organisms generally displays shallow and highly non-uniform read counts resulting from the whole genome amplification steps that introduce amplification biases. In addition, haploid organisms typically possess relatively short genomes and require a higher degree of DNA amplification compared to diploid organisms. However, most CNV detection methods are specifically developed for diploid genomes without specific consideration of effects on haploid genomes. Challenges also reside in reference samples or normal controls which are used to provide baseline signals for defining copy number losses or gains. In traditional methods, references are usually pre-specified from cells that are assumed to be normal or disease-free. However, the use of pre-defined reference cells can bias results if common CNVs are present. Here, we present the development of a comprehensive statistical framework for data normalization and CNV detection in haploid single- or low-cell DNA sequencing data called HapCNV. The prominent advancement is the construction of a novel genomic location specific pseudo-reference that selects unbiased references using a preliminary cell clustering method. This approach effectively preserves common CNVs. Using simulations, we demonstrated that HapCNV outperformed existing methods by generating more accurate CNV detection, especially for short CNVs. Superior performance of HapCNV was also validated in detecting known CNVs in a real P. falciparum parasite dataset. In conclusion, HapCNV provides a novel and useful approach for CNV detection in haploid low-input sequencing datasets, with easy applicability to diploids.

bioinformatics↗

bioRxiv2024

Ongoing loss of viable neurons for weeks after mild perinatal hypoxia-ischemia

Mild hypoxic-ischemic encephalopathy is common in neonates with no evidence-based therapies, and 30-40% of patients experience adverse outcomes. The nature and progression of mild injury is poorly understood. Thus, we studied the evolution of mild perinatal brain injury using longitudinal two-photon imaging of transgenic fluorescent proteins as a novel readout of neuronal viability and activity at cellular resolution. In vitro, perinatal murine organotypic hippocampal cultures underwent 15-20 minutes of oxygen-glucose deprivation. In vivo, mild hypoxia-ischemia was completed in post-natal day 10 mouse pups of both sexes with carotid ligation and 15 minutes of hypoxia. Consistent with a mild injury, minimal immediate neuronal death was seen and there was no volumetric evidence of injury by ex vivo MRI 2.5 weeks after injury. In both the hippocampus and neocortex, these mild injuries resulted in a significantly delayed and progressive neuronal loss in the second week after injury, measured by fluorophore quenching. Mild hypoxia-ischemia transiently suppressed cortical network activity followed by normal maturation. No post-injury seizures were seen. The participation in network activity of individual neurons destined to die was indistinguishable from those that survived for 4 days post-injury. In conclusion, our results showed that mild perinatal brain injury resulted in a prolonged increase of neuronal death. Neurons that died late were functioning normally for days after injury, suggesting a new pathophysiology of neuronal death. Critically, the neurons destined to die late demonstrated multiple biomarkers of viability long after mild injury, suggesting their later death may be modified with neuroprotective interventions. SIGNIFICANCE STATEMENTNeonatal encephalopathy due to peripartum hypoxia-ischemia (HI) is a major cause of neonatal mortality and morbidity worldwide. Of these infants, most are categorized as having mild HI. Infants with mild HI have significant long-term disabilities. There are currently no evidence-based therapies, largely because the progression and pathophysiology of mild injury is poorly understood. We have identified, for the first time, that mild perinatal HI results in a delayed and prolonged increase in neuronal death. The cortical and hippocampal neurons that die over a week after injury participate normally in neural network activity and exhibit robust viability for many days after injury, indicating a novel pathophysiology of neuronal death. Clinically, these data suggest an extended therapeutic window for mild perinatal HI.

neuroscience↗

bioRxiv2024

A CRISPR/SpCas9M-reporting system for efficient and rapid genome editing in Caulobacter crescentus

As members of the -proteobacteria group, Caulobacter crescentus and its relatives are known for their asymmetric life cycle and comprehensive applications in gene delivery, agricultural biotechnology, and the production of high-value compounds. However, genetic manipulations of these bacteria are often time-consuming and labor-intensive due to the lack of efficient genome editing tools. Here, we report a practical CRISPR/SpCas9M-reporting system that overcomes the limitations of SpCas9 expression, enabling efficient, markerless, and rapid genome editing in C. crescentus. As a demonstration, we successfully knocked out two genes encoding the scaffold proteins, achieving apparent editing efficiencies up to 80%. Key components, including the Cas protein, Cas inducer, sgRNA, homologous arms, and reporter, were systematically analyzed and optimized to enhance the editing efficiency or decrease the cell lethality. A nearly zero off-target ratio was observed after the curing of the editor plasmid in editing strains. Furthermore, we applied the CRISPR/SpCas9M-reporting system to two C. crescentus relatives, Agrobacterium fabrum and Sinorhizobium meliloti, establishing it as an efficient and reliable editing strategy. We anticipate that this system could be applied to other hard-to-edit organisms, accelerating both basic and applied research in -proteobacteria.

bioengineering↗

bioRxiv2024

Temporal Configuration as a New Feature of Sound: Psychological and Neurophysiological Evidence, Cross-species Consistency and Underlying Neuronal Mechanisms

Natural sounds are defined not only by their spectral content but also by their fine temporal structure. Here we show that millisecond-scale temporal configuration--defined by the ordering of inter-click intervals (ICIs) within a click train--behaves as a distinct auditory feature, conserved across species and emerging hierarchically along the auditory pathway. Human listeners reliably discriminated click trains that shared the same average ICI but differed in temporal configuration, and these differences elicited robust mismatch negativity (MMN) responses in an oddball paradigm, indicating automatic cortical deviance detection. Awake rats showed analogous MMN-like ECoG responses to configuration changes, demonstrating cross-species generality. Neuropixels recordings along the inferior colliculus-medial geniculate body-primary auditory cortex (IC-MGB-A1) axis revealed minimal configuration sensitivity in IC, intermediate sensitivity in MGB, and strong stimulus-specific adaptation to temporal configuration in A1. Reversible cooling of auditory cortex reduced configuration sensitivity in MGB, implicating corticothalamic feedback in shaping thalamic representations. Layer-resolved analyses further showed that supragranular A1 neurons carry stronger configuration-specific adaptation than infragranular neurons. These findings identify temporal configuration as a feature-like dimension of sound and delineate a hierarchical, feedback-dependent IC-MGB-A1 circuit architecture for encoding fine temporal structure in the mammalian brain.

neuroscience↗

bioRxiv2024

A signal of temporal integration in the human auditory brain: psychological insights, EEG evidence, and clinical application

Temporal integration, the process by which the auditory system combines sound information over a curtain period to form a coherent auditory object, is essential for coherent auditory perception, yet its neural mechanisms remain underexplored. We use a "transitional click train" paradigm, which concatenates two click trains with slightly differing inter-click intervals (ICIs), to investigate temporal integration in the human cortex. Using a 64-channel electroencephalogram (EEG), we recorded responses from 42 healthy participants exposed to regular and irregular transitional click trains and conducted change detection tasks. Regular transitional click trains elicited significant change responses in the human cortex, indicative of temporal integration, whereas irregular trains did not. These neural responses were modulated by ICI length, ICI contrast, and regularity. Behavioral data mirrored EEG findings, showing enhanced detection for regular conditions compared to irregular conditions and pure tones. Furthermore, variations in change responses were associated with decision-making processes. Temporal continuity was critical, as introducing gaps between click trains diminished both behavioral and neural responses. In clinical assessments, 22 coma patients exhibited diminished or absent change responses, effectively distinguishing them from healthy individuals. Our findings identify distinct neural markers of temporal integration and highlight the potential of transitional click trains for clinical diagnostics.

neuroscience↗

bioRxiv2024

Advanced Bioprinting of Hydrogels with Controlled Mineral Gradients for Regenerative Engineering of the Osteochondral Interface

The osteochondral (OC) interface exhibits a mineral gradient in the subchondral bone and articular cartilage interface, varying in thickness by several hundred micrometers across different species. Disruptions to this interface can cause severe damage to OC tissues, leading to osteoarthritis (OA), a debilitating and irreversible condition. Regenerative engineering approaches hold promise for addressing this issue by replicating the natural architecture and composition of native OC interface within a biomaterial scaffold. This study introduces a novel one-step bioprinting process using a twin-screw extruder that facilitates the fabrication of a unitary synthetic graft (USG), which mimics the native OC interfaces mineral concentration gradient. The newly developed USG is composed of an agarose-based cartilage layer and a bone layer, which consists of agarose enriched with 20% hydroxyapatite (w/vol). The USG features a gradient interface with the mineral concentration seamlessly transitioning from 0 to 20wt% from the cartilage to the bone layer. The mineral gradients in the USG and the native tissue were documented using thermogravimetric analysis (TGA), micro-CT, and energy dispersive x-ray (EDX). TGA revealed that the gradient transition length in the graft (647{+/-}21m) compared well to that of native OC tissue (633{+/-}124m) harvested from bovine knee. The strain sweep and frequency sweep tests in oscillatory shear evaluated the linear viscoelastic properties of the grafts, indicating a dominant storage modulus over loss modulus similar to that of native OC tissues. Additionally, the compressive and stress relaxation behaviors of the USGs were quantified using multi-extensional tests, highlighting the grafts ability to maintain structural integrity under mechanical stress. Furthermore, viability assays performed after bioprinting showed that chondrocytes and human fetal osteoblast cells successfully integrated and survived within their designated regions of the graft. The USGs engineered in this study exhibit properties that make them promising candidates for regenerating OC defects and restoring knee joint functionality.

bioengineering↗

bioRxiv2024

An immunomechanical checkpoint PYK2 governs monocyte-to-macrophage differentiation in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a fibrotic, stiff tumor microenvironment (TME), where tumor-associated macrophages (TAMs) drive ECM remodeling, progression, and immune evasion. The contribution of mechanical cues to monocyte differentiation into TAMs remains largely unexplored. Here we show that mechanical force is required for monocyte-to-macrophage differentiation. PYK2, as an innovative immunomechanical checkpoint, de facto governs this differentiation process. We demonstrated that PYK2 senses mechanical signals via Piezo1 and integrins, triggering F-actin polymerization and translocating to the nucleus to regulate mechanotransduction and differentiation genes (e.g., ACTR3, RELA). Targeted deletion of PYK2 impairs the differentiation and polarization of monocyte-derived macrophages, reshapes the PDAC microenvironment, and enhances the efficacy of anti-PD-1 immunotherapy. These findings underscore the critical role of mechanical cues in monocyte differentiation and suggest that targeting PYK2 is a promising strategy to modulate TAM function and improve immunotherapy outcomes in patients with PDAC. Statement of significanceThis study identifies PYK2 as an immunomechanical checkpoint that drives monocyte-to-macrophage differentiation in PDAC via Piezo1/integrin-mediated mechanical cues. Targeted deletion of PYK2 reshapes the PDAC microenvironment, and enhances the efficacy of anti-PD-1 immunotherapy, suggesting PYK2 as a promising therapeutic target to overcome immunotherapy resistance.

immunology↗

bioRxiv2024

Clair3-RNA: A deep learning-based small variant caller for long-read RNA sequencing data

Variant calling using long-read RNA sequencing (lrRNA-seq) can be applied to diverse tasks, such as capturing full-length isoforms and gene expression profiling. It poses challenges, however, due to higher error rates than DNA data, the complexities of transcript diversity, RNA editing events, etc. In this paper, we propose Clair3-RNA, the first deep learning-based variant caller tailored for lrRNA-seq data. Clair3-RNA leverages the strengths of the Clair series pipelines and incorporates several techniques optimized for lrRNA-seq data, such as uneven coverage normalization, refinement of training materials, editing site discovery, and the incorporation of phasing haplotype to enhance variant-calling performance. Clair3-RNA is available for various platforms, including PacBio and ONT complementary DNA sequencing (cDNA), and ONT direct RNA sequencing (dRNA). Our results demonstrated that Clair3-RNA achieved a [~]91% SNP F1-score on the ONT platform using the latest ONT SQK-RNA004 kit (dRNA004) and a [~]92% SNP F1-score in PacBio Iso-Seq and MAS-Seq for variants supported by at least four reads. The performance reached a [~]95% and [~]96% F1-score for ONT and PacBio, respectively, with at least ten supporting reads and disregarding the zygosity. With read phased, the performance reached [~]97% for ONT and [~]98% for PacBio. Extensive evaluation of various GIAB samples demonstrated that Clair3-RNA consistently outperformed existing callers and is capable of distinguishing RNA high-quality editing sites from variants accurately. Clair3-RNA is open-source and available at (https://github.com/HKU-BAL/Clair3-RNA).

bioinformatics↗

bioRxiv2024

Activation of hypothalamic-pontine-spinal pathway promotes locomotor initiation and functional recovery after spinal cord injury in mice

The hypothalamus is critical for regulating behaviors essential for survival and locomotion, but how it integrates internal needs and transmits locomotion commands to the spinal cord (SC) remains unclear. We found that glutamatergic neurons in lateral hypothalamic area (LHA) are essential for regulating motivated locomotor activity. Using single-neuron projectome analysis, trans-synaptic tracing, and optogenetic manipulation, we showed that LHA facilitates motivated locomotion during food seeking via pontine oral part (PnO) projection neurons, rather than direct SC projections or indirect stress signaling via medial septum and diagonal band. Activating PnO-SC projection neurons also initiated locomotion. Importantly, LHA-PnO projection neurons were crucial for regulating locomotor recovery following mouse spinal cord injury (SCI). Closed-loop deep brain stimulation (DBS) of LHA via gating by motor cortex signals markedly promoted long-term restoration of hindlimb motor functions after SCI. Thus, we have identified a hypothalamic-pontine- spinal pathway and the stimulation paradigm for potential therapeutic intervention after SCI.

neuroscience↗

bioRxiv2024

Hormone-induced thrombosis is mediated through non-canonical fibrin(ogen) aggregation and a novel estrogen target in zebrafish

Venous thrombosis is a well-known complication of estrogen exposure, with nearly every woman at risk across her lifetime through contraception, pregnancy, or hormone therapy. Although estrogens alter expression of coagulation factors, the mechanisms that mediate estrogen-induced thrombosis are poorly understood, partially due to the absence of an animal model. Identification of these mediators is central to understanding of hormone-induced pathophysiology, could ascertain patients at higher risk for thrombosis, and pinpoint future therapeutic targets. The zebrafish is characterized by external development, high fecundity, optical transparency, and hemostasis is highly conserved with humans. Through a transgenic line that generates GFP-tagged fibrinogen, we show rapid onset of thrombosis after exposure to various estrogens, but not progestins or testosterone. Thrombi are localized to the venous system with evidence for clot contraction. Thrombosis is only partially impeded by anticoagulants, occurs in the absence of factor VII, factor X, and prothrombin, but is dependent on tissue factor and fibrin(ogen). Finally, targeting of all known estrogen receptors does not eliminate thrombosis. The inability to completely inhibit thrombosis through genetic/pharmacologic anticoagulation or estrogen receptor disruption suggests mechanisms different from canonical coagulation/thrombosis. These studies suggest that estrogen-induced thrombosis is a unique entity distinct from other forms of venous thrombosis.

pathology↗

bioRxiv2024

AlphaBind, a Domain-Specific Model to Predict and Optimize Antibody-Antigen Binding Affinity

Antibodies are versatile therapeutic molecules that utilize combinatorial sequence diversity to cover a vast fitness landscape. However, designing optimal antibody sequences remains a major challenge. Recent advances in deep learning provide opportunities to address this challenge by learning sequence-function relationships to accurately predict fitness landscapes. These models enable efficient in silico prescreening and optimization of antibody candidates. By focusing experimental efforts on the most promising candidates guided by deep learning predictions, antibodies with optimal properties can be designed more quickly and effectively. Here we present AlphaBind, a domain-specific model that utilizes protein language model embeddings and pre-training on millions of quantitative laboratory measurements of antibody-antigen binding strength to achieve state-of-the-art performance for guided affinity optimization of parental antibodies. We demonstrate that an AlphaBind-powered antibody optimization pipeline can deliver candidates with substantially improved binding affinity across four parental antibodies (some of which were already affinity-matured) and using two different types of training data. Resulting candidates, ranging up to 11 mutations from parental sequence, yield a sequence diversity that allows for optimization of other biophysical characteristics, all while using only a single round of data generation for each parental antibody. AlphaBind weights and code are publicly available at: https://github.com/A-Alpha-Bio/alphabind.

synthetic biology↗

bioRxiv2024

GENCODE: massively expanding the lncRNA catalog through capture long-read RNA sequencing

Accurate and complete gene annotations are indispensable for understanding how genome sequences encode biological functions. For more than twenty years, the GENCODE consortium has developed reference annotations for the human and mouse genomes, becoming a foundation for biomedical and genomics communities worldwide. Nevertheless, collections of important yet poorly-understood gene classes like long non-coding RNAs (lncRNAs) remain incomplete and scattered across multiple, uncoordinated catalogs. To address this, GENCODE has undertaken the most comprehensive lncRNA annotation effort to date. This is founded on the manually supervised computational annotation of full-length targeted long-read sequencing, on matched embryonic and adult tissues, of orthologous regions in human and mouse. Altogether 17,931 human genes (140,268 transcripts) and 22,784 mouse genes (136,169 transcripts) have been added to the GENCODE catalog representing a 2-fold and 6-fold growth in transcripts, respectively - the greatest increase in the number of annotated human genes since the sequencing of the human genome. Our targeted design assigned human-mouse orthologs at a rate beyond previous studies, tripling the number of human disease-associated lncRNAs that have mouse orthologs. Novel lncRNA genes consistently exhibit biological signals of functionality, and they greatly enhance the functional interpretability of the human genome. While poorly expressed in bulk RNA-Seq samples, many of them are highly expressed in specific cell populations, maybe even contributing to cell-type determination. The expanded GENCODE lncRNA annotations mark a critical step toward deciphering the human and mouse genomes.

genomics↗

bioRxiv2024

Cancer-associated adipocytes mediate CD8+T cell dysfunction via FGF21-driven lipolysis

Cancer-associated adipocytes (CAAs) reprogram metabolic status of tumor microenvironment (TME). The metabolic crosstalk between CAAs and CD8+T cells in TME remains unclear. Here we report that CAAs undergo lipolysis, releasing free fatty acids that promote lipid peroxidation and disturb mitochondrial homeostasis in CD8+T cells, leading to their functional exhaustion. Importantly, we uncover that fibroblast growth factor 21 (FGF21) autocrinally drives CAA lipolysis through upregulating adipose triglyceride lipase (ATGL) via FGFR1/KLB-p38 signaling. FGF21 deletion in adipose tissue or ATGL inhibition impedes CAA lipolysis, mitigates lipid peroxidation, normalizes mitochondrial dynamics of CD8+T cells, and restores their effector function, consequently blunting tumor growth. Moreover, combining ATGL inhibitor with anti-PD-1 therapy synergistically enhances the antitumor activity of CD8+T cells, yielding greater therapeutic efficacy. Our findings highlight the pivotal role of CAA lipol ysis in CD8+T cell dysfunction within TME, suggesting that targeting CAA lipolysis represents a valuable avenue for improving cancer immunotherapy.

cancer biology↗

bioRxiv2024

An all-in-one pipeline for the in vitro discovery and in vivo testing of Plasmodium falciparum malaria transmission blocking drugs

Elimination and eradication of malaria will depend on new drugs with potent activity against Plasmodium falciparum mature stage V gametocytes, the only stages able to infect the mosquito vector for onward parasite transmission. The identification of molecules active against these quiescent stages is difficult due to the specific biology of gametocyte maturation and challenges linked to their cultivation in vitro. Furthermore, the antimalarial drug development pipeline lacks a suitable animal model for evaluating the transmission-blocking potential of promising lead compounds and preclinical and clinical drug candidates in vivo. Here, we established a transmission-blocking drug discovery and development platform based on transgenic P. falciparum parasites engineered to produce large numbers of pure stage V gametocytes expressing a red-shifted firefly luciferase as reporter for cellular viability. This NF54/iGP1_RE9Hulg8 line facilitated the development of a highly efficient and robust in vitro screening assay for the identification of stage V gametocytocidal compounds. Importantly, by infecting humanized NODscidIL2R{gamma}null mice with pure NF54/iGP1_RE9Hulg8 stage V gametocytes, we also established a preclinical P. falciparum in vivo transmission model. Using whole animal bioluminescence imaging and quantification of gametocyte densities over a period of 14 days, we assessed the gametocyte killing and clearance kinetics in vivo of antimalarial reference drugs as well as five clinical drug candidates and identified markedly different pharmacodynamic response profiles. Furthermore, we successfully integrated this mouse model with mosquito feeding assays and thus firmly established a valuable tool for the systematic in vivo evaluation of gametocytocidal and transmission-blocking drug efficacy. One sentence summaryWe applied robust new assays for gametocytocidal drug discovery and in vivo efficacy testing using a humanized mouse model for malaria transmission

microbiology↗