Biology subjects

Yang, F.

Publications and source records attributed to Yang, F..

At least 109 records · Page 6Linked to original sources

bioRxiv2024

Distribution-preserved compression of single-cell atlases for privacy-protected data dissemination and novel cell type discovery

We introduce SUREv2, a tool for constructing lightweight, transmittable, and privacy-preserving references from single cell atlases. SUREv2 introduces a compressed data structure that maintain the distribution of cells within these atlases and develops an out-of-reference scoring method for identifying novel cell populations. This user-friendly tool shall enhance the analysis of single cell datasets by providing a consistent, privacy-focused reference framework.

bioinformatics↗

bioRxiv2024

Targeting SLC7A11-mediated cysteine metabolism for the treatment of trastuzumab resistant HER2 positive breast cancer

Trastuzumab resistance remains a challenge for HER2 positive breast cancer treatment. Targeting metabolic reprogramming would provide novel insights for therapeutic strategies. Here, we integrated metabolomics, transcriptomics and epigenomics data of trastuzumab sensitive and primary resistant HER2 positive breast cancer to identify metabolic alterations. Aberrant cysteine metabolism was discovered in trastuzumab primary resistant breast cancer at both circulating and intracellular levels. The inhibition of SLC7A11 and cysteine starvation could synergize with trastuzumab to induce ferroptosis. Mechanistically, increased H3K4me3 and decreased DNA methylation enhanced SLC7A11 transcription and cystine uptake in trastuzumab resistant breast cancer. The regulation of epigenetic modifications modulated cysteine metabolism and ferroptosis sensitivity. These results revealed an innovative approach for overcoming trastuzumab resistance by targeting specific amino acid metabolism.

cancer biology↗

bioRxiv2024

Phospholipid signaling and multivesicular endolysosomes modulate membrane dynamics at the biotrophic interface in Rice Blast

Magnaporthe oryzae, the rice blast pathogen, secretes an arsenal of apoplastic and cytoplasmic effector proteins to suppress host immunity during the biotrophy phase. The proposed non-conventional secretion of cytoplasmic effectors into the Biotrophic Interfacial Complex (BIC), remains uncharted except for the involvement of the exocyst complex therein. Recently, the plant endocytic machinery has been implicated in translocation of cytoplasmic effectors to the host. Here, we used live cell imaging and mutant analyses to provide new insight into late endolysosomal mediators as conduits for establishment of the BIC and/or unconventional secretion across the host interface. Rerouting of the late endocytic GTPase Rab7 occurs at the BIC; and the dominant negative Rab7T22N led to significant defects in focal interface formation. FYVE biosensor and pharmacological interventions revealed that Rab7 membrane trafficking and establishment/integrity of the biotrophy interface requires the PI3 kinase Vps34 and phosphoinositide PI3(P) function. Additional pharmacological evidence supports endolysosomal trafficking to the host interface follows a distinct non-conventional secretion route too. Finally, we show that the Multi-Vesicular Bodies and lysosomal membranes act as downstream modules of the Rab7 function in precise sorting and specialised traffic of cytoplasmic effectors across the Magnaporthe-Rice interface during blast disease.

cell biology↗

bioRxiv2024

In vivo cell-type and brain region classification via multimodal contrastive learning

AO_SCPLOWBSTRACTC_SCPLOWCurrent electrophysiological approaches can track the activity of many neurons, yet it is usually unknown which cell-types or brain areas are being recorded without further molecular or histological analysis. Developing accurate and scalable algorithms for identifying the cell-type and brain region of recorded neurons is thus crucial for improving our understanding of neural computation. In this work, we develop a multimodal contrastive learning approach for neural data that can be fine-tuned for different downstream tasks, including inference of cell-type and brain location. We utilize this approach to jointly embed the activity autocorrelations and extracellular waveforms of individual neurons. We demonstrate that our embedding approach, Neuronal Embeddings via MultimOdal contrastive learning (NEMO), paired with supervised fine-tuning, achieves state-of-the-art cell-type classification for two opto-tagged datasets and brain region classification for the public International Brain Laboratory Brain-wide Map dataset. Our method represents a promising step towards accurate cell-type and brain region classification from electrophysiological recordings. The project page and code are available at https://ibl-nemo.github.io/.

neuroscience↗

bioRxiv2024

Exogenous fatty acids inhibit fatty acid synthesis through competition between endogenously- and exogenously-generated substrates for phospholipid synthesis in Escherichia coli

Exogenous fatty acids are directly incorporated into bacterial membranes, heavily influencing bacterial ecology and antibiotic susceptibility. We use liquid chromatography/mass spectrometry to characterize how exogenous fatty acids impact the Escherichia coli fatty acid synthesis pathway. We find that acyl-CoA synthesized from exogenous fatty acids rapidly increases long-chain acyl-ACP levels while depleting malonyl-ACP, indicating inhibition of fatty acid synthesis. Contrary to previous assumptions, acyl-CoA does not inhibit FabI in vivo; instead, substrate competition between acyl-CoA and acyl-ACP for phospholipid synthesis enzymes causes long-chain acyl-ACP to accumulate, inhibiting fatty acid synthesis initiation. Furthermore, changes in the acyl-ACP pool driven by acyl-CoA amplify the effects of exogenous fatty acids on the balance between saturated and unsaturated membrane lipids. Transcriptional regulation rebalances saturated and unsaturated acyl-ACP by adjusting FabA and FabB expression. Remarkably, all other fatty acid synthesis enzymes remain at stable levels, maintaining a fixed synthesis capacity despite the availability of exogenous fatty acids. Since all bacterial pathways for exogenous fatty acid incorporation characterized so far converge with endogenous synthesis pathways in a common substrate pool, we propose that the substrate competition-triggered feedback mechanism identified here is ubiquitous across bacterial species.

molecular biology↗

bioRxiv2024

Early-life antibiotic exposure leads to gut microbial dysbiosis associated with neurodevelopment and neuroregeneration

Early-life is a critical period for neurodevelopment and establishment of gut microbiota, which are highly susceptible to antibiotic exposure. Here, we aimed to investigate association between gut microbiota and metabolites with neurodevelopment and neuroregeneration in early-life after antibiotic exposure. To induce microbial dysbiosis in offspring, a broad-spectrum antibiotic cocktail was administered to mice dams. The prefrontal lobe, spinal cord tissues and gut sample of offspring were collected at different time with or without spinal cord crush injury. 16S rRNA sequencing and metabolomics were performed to analyze the gut microbiota and metabolites. NG2 glia were cultured and treated by mitochondrial fusion and fission compounds and metabolites. Maternal antibiotic exposure significantly affected neuronal maturation, NG2 glia proliferation, prefrontal cortex myelination and injured spinal cord neuroregeneration of offspring. Mice in antibiotic exposure group exhibited disruption of gut microbiota and metabolites, along with lower Ace, Chao and Shannon indexes, higher relative abundance of Enterobacter and Escherichia_Shigella, lower lactobacillus and Streptococcus genus, and downregulated Cyclo(Arg-Gly-Asp-D-Phe-Val), Ampicilloyl, DG(8:0/i-19:0/0:0), Petasinine and 6-Hydroxymelatonin glucuronide. These metabolites were enriched in alpha-Linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, linoleic acid metabolism. 6-Hydroxymelatonin glucuronide, PC(20:3/0:0), PC(20:2/0:0), Ameltolide, DG(8:0/i-19:0/0:0), Inproquone, and Chorismate were the cores of networks between gut microbiota and metabolites and negatively associated with neurodevelopment and neuroregeneration. Additionally, gut microbiota metabolites promoted NG2 glia differentiation, partly through reversing the effects of mitochondrial fusion/fission compounds. Totally, antibiotic exposure in early-life changed the composition, abundance, and metabolites of gut microbiota in offspring, which was associated with neurodevelopment and neuroregeneration.

microbiology↗

bioRxiv2024

Pulvinar perturbation causes functional reorganization of visual attentional information in posterior parietal cortex

The pulvinar nucleus of the thalamus (PUL) is a higher-order thalamic relay and the main visual extrageniculate thalamic nucleus. Evidence suggests the PUL coordinates information processing across cortical areas involved in visual perception and attention. Other findings suggest the PUL may also influence higher-order cognitive processes, such as attentional control, through interactions with connected neocortical areas like the posterior parietal cortex (PPC). We hypothesized that PUL input to the dorsal and caudal PPC (DPPC and CPPC) enhances visuospatial processing and attention. To test this hypothesis, we recorded neuronal activity in the PUL, DPPC, and CPPC of freely behaving rats performing the visuospatial attention (VSA) task while optogenetically suppressing PUL neurons on some trials. We found that PUL manipulation did not affect behavioral performance, but reorganized neural codes in DPPC and CPPC as well as PUL itself.

animal behavior and cognition↗

bioRxiv2024

Germinated brown rice research: bibliometric analysis of progress, hotspots and trends

To gain a deeper understanding of global research trends and focal points in germinated brown rice, this article takes the relevant literature on germinated brown rice in the core database of Web of Science as the research object. By using bibliometric analysis, the literature on germinated brown rice published from 2003 to 2023 is deeply analyzed, and the global research progress, hotspots and future development trend of germinated brown rice are summarized. Since 2018, research on germinated brown rice has been rapidly developing, with a significant surge in interest since 2020. China leads in the number of publications, institutions, and core authors in this research area. The primary research topics include the nutritional value, physiological active components, and industrial applications of germinated brown rice. Current research frontiers involve identifying, evaluating, and enhancing bioactive substances in germinated brown rice for food applications. Research in this field remains active, and application scenarios are becoming increasingly diverse. Future studies may explore new directions in related equipment and ingredients.

bioinformatics↗

bioRxiv2024

Integrative multiomic approaches reveal ZMAT3 and p21 as conserved hubs in the p53 tumor suppression network

TP53, the most frequently mutated gene in human cancer, encodes a transcriptional activator that induces myriad downstream target genes. Despite the importance of p53 in tumor suppression, the specific p53 target genes important for tumor suppression remain unclear. Recent studies have identified the p53-inducible gene Zmat3 as a critical effector of tumor suppression, but many questions remain regarding its p53-dependence, activity across contexts, and mechanism of tumor suppression alone and in cooperation with other p53-inducible genes. To address these questions, we used Tuba-seqUltra somatic genome editing and tumor barcoding in a mouse lung adenocarcinoma model, combinatorial in vivo CRISPR/Cas9 screens, meta-analyses of gene expression and Cancer Dependency Map data, and integrative RNA-sequencing and shotgun proteomic analyses. We established Zmat3 as a core component of p53-mediated tumor suppression and identified Cdkn1a as the most potent cooperating p53-induced gene in tumor suppression. We discovered that ZMAT3/CDKN1A serve as near-universal effectors of p53-mediated tumor suppression that regulate cell division, migration, and extracellular matrix organization. Accordingly, combined Zmat3-Cdkn1a inactivation dramatically enhanced cell proliferation and migration compared to controls, akin to p53 inactivation. Together, our findings place ZMAT3 and CDKN1A as hubs of a p53-induced gene program that opposes tumorigenesis across various cellular and genetic contexts.

cancer biology↗

bioRxiv2024

A single-molecule nanopore sequencing platform

Nanopore sequencing, a third-generation sequencing technology, has revolutionized the gene sequencing industry with its advantages of long reads, fast speed, real-time sequencing and analysis, and potential in detecting base modifications. This technology allows researchers to sequence longer DNA fragments in a single read, providing more comprehensive genomic information compared to previous methods. Nanopore sequencing operates on electrical signals generated by a nanopore embedded in a membrane separating two electrolyte-filled chambers. When single-stranded DNA (ssDNA) passes through the nanopore, it creates variations in the current that correspond to different DNA bases. By analyzing these current fluctuations with machine learning algorithms, the DNA sequence can be determined. In this study, we introduced several improvements to nanopore sequencing, including nanopore local chemistry sequencing, novel motor and pore proteins, chip design, and basecalling algorithms. Our new nanopore sequencing platform, CycloneSEQ, demonstrated long-duration sequencing (107 hours) on a single chip with high yield (>50 Gb). In human genomic DNA sequencing, CycloneSEQ was able to produce long reads with N50 33.6 kb and modal identity 97.0%. Preliminary findings on human whole-genome de novo assembly, variant calling, metagenomics sequencing, and single-cell RNA sequencing have further highlighted CycloneSEQs potential across different areas of genomics.

genomics↗

bioRxiv2024

S-RNase Evolution in Self-Incompatibility: Phylogenomic Insights into Synteny with S-Like Genes

S-RNases are essential in the gametophytic self-incompatibility (GSI) system of many flowering plants, where they act as stylar-S determinants. Despite their significance, the syntenic genomic origin and evolutionary trajectory of S-RNase genes in eudicots have remained largely unclear. Here, we performed large-scale phylogenetic and microsynteny network analyses of RNase T2 genes across 130 angiosperm genomes, encompassing 35 orders and 56 families. Based on the connections observed in the synteny network, particularly the persisting synteny block in none-SI Cucurbitaceae species, we infer that well-characterized S-RNase genes (Class III-A RNase genes) were duplicated and evolved from Class I S-like RNase genes, possibly as a result of the gamma triplication event shared by core eudicots. Additionally, we identified frequent lineage-specific gene transpositions of S-RNase genes across diverse angiosperm lineages, including Rosaceae, Solanaceae, and Rutaceae families, accompanied by a significant increase in transposable element (TE) activity near these genes. Our findings delineate the precise genomic origin and evolutionary path of eudicot S-RNase genes, enhancing our understanding of the evolution of the S-RNase-based GSI system.

evolutionary biology↗

bioRxiv2024

A comprehensive analysis of the potential biological functions and prognostic values of SREBF1 for multiple cancer types including colorectal cancer

As an important molecule involved in lipid metabolism, Sterol Regulatory Element-Binding Protein 1 (SREBF1) plays a critical role in governing cellular lipid synthesis and uptake. However, a comprehensive understanding of the biological significance of SREBF1 in pan-cancer remains elusive. In this study, we aimed to comprehensively analyze the functional characteristics of SREBF1 in human cancers, including colorectal cancer (CRC). Our study utilized various databases and tools such as TCGA, GEO, TIMER2.0, GEPIA2.0, UALCAN, and the Human Protein Atlas to examine SREBF1 expression, genetic alterations, immune infiltration, single-cell sequencing, survival analysis, and gene enrichment. The results revealed that the expression of SREBF1 exhibited significant variations across different cancer types, and was closely associated with patient prognosis and immune infiltration. Moreover, the gene function assays indicated SREBF1 significantly affect cell growth and migration. Overall, the findings suggest that SREBF1 could serve as a potential prognostic biomarker and a novel therapeutic target in different cancer types.

cancer biology↗

bioRxiv2024

Introgression dynamics of sex-linked chromosomal inversions shape the Malawi cichlid adaptive radiation

Chromosomal inversions contribute to adaptive speciation by linking co-adapted alleles. Querying 1,375 genomes of the species-rich Malawi cichlid fish radiation, we discovered five large inversions segregating in the benthic subradiation that each suppress recombination over more than half a chromosome. Two inversions were transferred from deepwater pelagic Diplotaxodon via admixture, while the others established early in the deep benthic clade. Introgression of haplotypes from lineages inside and outside the Malawi radiation coincided with bursts of species diversification. Inversions show evidence for transient sex linkage and a striking excess of protein changing substitutions points towards selection on neuro-sensory, physiological and reproductive genes. We conclude that repeated interplay between depth adaptation and sex-specific selection on large inversions has been central to the evolution of this iconic system.

evolutionary biology↗

bioRxiv2024

Cellular and molecular events organizing the assembly of tertiary lymphoid structures in glioblastoma

Tertiary lymphoid structures (TLS) are ectopic lymphoid aggregates associated with improved prognosis in numerous tumors. To date, their prognostic value in central nervous system cancers and the events underlying their formation remain unclear. Here, we find that TLS correlate with improved survival in glioblastoma patients. Furthermore, combining spatial transcriptomics of human tissues with longitudinal studies in murine glioma, we establish that the assembly of T cell-rich clusters is a prerequisite for the development of canonical TLS, and show that CD4 T cells play a central role in this process. Indeed, we provide evidence that IL7R+CCR7+ Th1 lymphocytes with lymphoid tissue-inducing potential are recruited to TLS nucleation sites, where they can initiate TLS assembly by expressing lymphotoxin {beta}. Our work defines TLS as a potential prognostic factor in glioblastoma and identifies cellular and molecular mechanisms of TLS formation. These findings have broader implications for the development of TLS-inducing therapies for cancer. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/601824v1_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@78be05org.highwire.dtl.DTLVardef@1037706org.highwire.dtl.DTLVardef@7b64e1org.highwire.dtl.DTLVardef@11bfd5c_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

CD-GPT: A Biological Foundation Model Bridging the Gap between Molecular Sequences Through Central Dogma

The central dogma serves as a fundamental framework for understanding the flow and expression of genetic information within living organisms, facilitating the connection of diverse biological sequences across molecule types. In this study, we present CD-GPT (Central Dogma Generative Pretrained Transformer), a generative biological foundation model with 1 billion parameters, aiming to capture the sequence relationships between DNA, RNA, and proteins. We model sequences in a unified representational space and employ a shared, multi-molecule vocabulary to narrow their distances in the embedding space effectively. Through extensive pretraining on nucleotide and amino acid sequence data, CD-GPT exhibits exceptional performance in a wide range of predictive and generative downstream tasks, including mono-molecular and multi-molecular analyses. Notably, CD-GPT excels in tasks such as genomic element detection, protein property prediction, RNA-protein interaction identification and also generative tasks like protein generation and reverse translation. The versatility of CD-GPT opens up promising avenues for advanced multi-omics analysis.

bioinformatics↗

bioRxiv2024

Human birth tissue products as a regenerative medicine to inhibit post-surgical pain through multi-modal action

Pain after surgery causes significant suffering. Opioid analgesics cause severe side effects and accidental death. Therefore, there is an urgent need to develop non-opioid therapies for managing post-surgical pain. Local application of Clarix Flo (FLO), a human amniotic membrane (AM) product, attenuated established post-surgical pain hypersensitivity without exhibiting known side effects of opioid use in mice. This effect was achieved through direct inhibition of nociceptive dorsal root ganglion (DRG) neurons via CD44-dependent pathways. We further purified the major matrix component, the heavy chain-hyaluronic acid/pentraxin 3 (HC-HA/PTX3) from human AM that has greater purity and water solubility than FLO. HC-HA/PTX3 replicated FLO-induced neuronal and pain inhibition. Mechanistically, HC-HA/PTX3 induced cytoskeleton rearrangements to inhibit sodium current and high-voltage activated calcium current on nociceptive neurons, suggesting it is a key bioactive component mediating pain relief. Collectively, our findings highlight the potential of naturally derived biologics from human birth tissues as an effective non-opioid treatment for post-surgical pain. Moreover, we unravel the underlying mechanisms of pain inhibition induced by FLO and HC-HA/PTX3.

neuroscience↗

bioRxiv2024

Clostridium ablates tumors by degrading collagen mesh andinducing ferroptosis

The supportive role of extracellular matrix in tumor growth and the drug resistance of tumor cells stand the major challenges in treating cancer. Here, we report the discovery of an oncolytic Clostridium strain, named RJ-1, which simultaneously expresses collagenases and produces iron-containing particles through intrabacterial mineralization. The secreted collagenases degrade pre-existing collagen mesh and show a collagen concentration-dependent degradation feature. Iron-containing particles released from RJ-1 by autolysis generate ferrous ions in the lysosomal acid environment following cell uptake and subsequently induce ferroptosis via the Fenton reaction. Due to selective germination in tumor sites, systemic administration of RJ-1 spores synchronously destructs dense tumor extracellular matrix and causes non-apoptotic tumor cell death. In collagen-dense tumor-bearing mice, a single intravenous injection achieves a favorable tolerance and rapid oncolysis of giant tumors with a size of [~]1000 mm3. This work finds a dual collagenase-expressing and iron-concentrating bacterium, proposing an alternative strategy to combat tumors.

microbiology↗

bioRxiv2024

Contraction-induced endocardial id2b plays a dual role in regulating myocardial contractility and valve formation

Biomechanical cues play an essential role in sculpting organ formation. Comprehending how cardiac cells perceive and respond to biomechanical forces is a biological process with significant medical implications that remains poorly understood. Here we show that biomechanical forces activate endocardial id2b (inhibitor of DNA binding 2b) expression, thereby promoting cardiac contractility and valve formation. Taking advantage of the unique strengths of zebrafish, particularly the viability of embryos lacking heartbeats, we systematically compared the transcriptomes of hearts with impaired contractility to those of control hearts. This comparison identified id2b as a gene sensitive to blood flow. By generating a knockin reporter line, our results unveiled the presence of id2b in the endocardium, and its expression is sensitive to both pharmacological and genetic perturbations of contraction. Furthermore, id2b loss-of-function resulted in progressive heart malformation and early lethality. Combining RNA-seq analysis, electrophysiology, calcium imaging, and echocardiography, we discovered profound impairment in atrioventricular (AV) valve formation and defective excitation-contraction coupling in id2b mutants. Mechanistically, deletion of id2b reduced AV endocardial cell proliferation and led to a progressive increase in retrograde blood flow. In the myocardium, id2b directly interacted with the bHLH component tcf3b (transcription factor 3b) to restrict its activity. Inactivating id2b unleashed its inhibition on tcf3b, resulted in enhanced repressor activity of tcf3b, which subsequently suppressed the expression of nrg1 (neuregulin 1), an essential mitogen for heart development. Overall, our findings identify id2b as an endocardial cell-specific, biomechanical signaling-sensitive gene, which mediates intercellular communications between endocardium and myocardium to sculpt heart morphogenesis and function.

developmental biology↗