Biology subjects

Wang, J.

Publications and source records attributed to Wang, J..

At least 883 records · Page 49Linked to original sources

bioRxiv2024

Genomic Insights into Hybridization and Speciation of Mitten Crabs in the Eriocheir Genus

Hybridization is a prominent and influential phenomenon with significant implications for adaptive evolution, species distribution and biodiversity. However, the intricacies of how hybridization influences genomic structure and facilitates adaptive evolution still elude our full understanding. Analyzing whole genome data from seven populations within Eriocheir genus across diverse geographic regions, we have validated a complex hybridization history between Chinese and Japanese mitten crabs. This hybridization gave rise to two distinct ecological species: Hepu and Russian mitten crabs with unique genomic architectures and adaptations. Genes related to reproduction, development, and temperature adaptation exhibit divergent selection signals, potentially contributing to their phenotypic diversity and ecological niches. Meanwhile, genes associated with reproduction, namely Birc6, Bap31, and Poxn, displayed robust evidence of selective sweeps in Hepu mitten crab. Notably, the favored alleles for these genes originated from the parental lineages during the hybridization process. Furthermore, Hepu mitten crab is a homoploid hybrid species that originated from an ancient hybridization event, resolving its longstanding taxonomic controversy. Our study sheds light on the evolutionary history of mitten crabs and highlights the crucial role of hybridization in driving adaptation, range expansion, and diversification within the Eriochier genus.

genomics↗

bioRxiv2024

Systematic Design of Multiplex Methylation-Specific qPCR for Cancer-Related Biomarkers

Analysis of circulating cell-free DNA (cfDNA) methylation abnormalities has emerged as a powerful strategy for detecting various diseases, particularly cancers. This study demonstrates a process for developing a multiplex methylation-specific qPCR assay for cancer biomarker detection. AbstractAnalysis of circulating cell-free DNA (cfDNA) methylation abnormalities has emerged as a promising strategy for detecting various diseases, including cancer. While single-biomarker approaches may lack sensitivity, comprehensive next-generation sequencing (NGS) can be cumbersome and expensive. Multiplex methylation qPCR assays offer a practical intermediate solution by providing accurate, accessible, and affordable methylation biomarker detection. In this study, we demonstrated a process for developing a multiplex methylation-specific qPCR assay using colorectal cancer (CRC) methylation biomarkers as a case study. Starting with a set of CRC methylation biomarkers, we developed the Multiplex Methylation-specific qPCR (MMqPCR) algorithm to scan differentially methylated regions (DMRs) for methylation-specific PCR primer and probe design. We then established a systematic process to eliminate assay cross-reactions, reduce background noise, and assess multiplex compatibility. Using a low concentration of hypermethylated DNA (0.1%) in a digital analysis, we demonstrated a 95.8% detection rate with the multiplex strategy, significantly outperforming the singleplex approach (47.9%). The multiplex qPCR development principles and automated primer design algorithm presented here provide valuable tools for developing disease screening, detection or monitoring methods based on methylation analysis.

molecular biology↗

bioRxiv2024

Epigenetic reprogramming induced by Acetyl-CoA and SAM depletion is an evolutionarily-ancient path to malignant growth

Despite the vast diversity of life forms and living histories, it appears that all branches of Metazoa face the challenge of tumor growth. Contrary to human tumors, which take years to form, tumors in short-living species can arise within days without accumulating multiple mutations, raising the question whether the paths to tumorigenesis in diverse species have any commonalities. In a fly tumor model caused by loss of cell polarity genes, we first identified the rise of a glycolytic cell population over time, resembling the Wartburg effect observed in human tumors. We further identified two key metabolic changes in these fly tumors. First, a systemic depletion of acetyl-CoA leads to a reduction in histone acetylation levels and stochastic silencing of actively-transcribed genes. Second, defects in the methionine cycle cause a systemic depletion of S-Adenosyl methionine, which further reduces histone methylation levels and causes stochastic activation of transposons. Perturbation of the methionine metabolic process strongly inhibits tumor growth. Finally, to understand the evolutionary origin of tumorigenesis, we performed comparative studies of fly and human tumors, and identified human tumors that exhibit metabolic signatures similar to those of fly tumors. We found that human tumors with high metabolic similarity to fly tumors have a lower mutational load, younger patient age, and lower DNA methylation levels. This study suggests that tumorigenesis processes have a deep evolutionary origin and highlights that depletion of key metabolites is an evolutionarily-ancient driving force for tumorigenesis.

developmental biology↗

bioRxiv2024

SUMO E1 covalent allosteric inhibitors modulate polyamine synthesis via the MAT2A-AdoMetDC axis

Upregulation of protein SUMOylation is associated with various diseases, and SUMOylation inhibitors are promising drug candidates. We performed the first virtual screening of SUMO E1 covalent allosteric inhibitors (CAIs) and identified two SUMO E1 CAIs with new scaffolds and covalent warheads. We further demonstrated that these new CAIs perturbed the SUMOylation pathway and protein SUMOylation. Specifically, these CAIs affected the SUMOylation of the methionine adenosyltransferases MAT2A. The inhibition of MAT2A SUMOylation unexpectedly stimulated polyamine synthesis. Lastly, we showed that the combination of SUMO E1 CAIs with a polyamine synthesis inhibitor had synergistic effects in inhibiting T47D cells. Our work demonstrated the first cost-effective virtual screening of SUMO E1 CAIs, found that the downregulation of MAT2A SUMOylation increases polyamine synthesis, and SUMO E1 CAIs can synergize with polyamine synthesis inhibitors. This work would be of great value to the study of SUMOylation, covalent/allosteric drugs, and the polyamine metabolism network.

pharmacology and toxicology↗

bioRxiv2024

Regulation of Fungal Morphology, Conidiogenesis and Violet Pigment Synthesis by the Betalain Biosynthesis Pathway Genes in Aspergillus sydowii H-1

The biosynthesis of antioxidant pigments, namely, betalains, has predominantly been found in Caryophyllales. The potential betalains biosynthesis was firstly explored in Aspergillus sydowii H-1 under controlled culture conditions. This study identified, knocked out, and overexpressed genes involved in the betanin biosynthesis and assessed the activities of tyrosinase, 45-DOPA dioxygenase and LigB. The results indicated these betanin biosynthesis pathway was crucial for colony morphology, conidiogenesis, stress response, and violet pigment synthesis. Moreover, AsDODA and AsLigB catalyzed the conversion of L-DOPA into 45-seco-DOPA, a key intermediate in the formation of betalamic acid in vitro. Additionally, transcription factors such as AsbHLH, AsMYB1R, and AsWD40 positively regulated the expression of betalain biosynthesis genes. This research provides new insights into the evolutionary origins of betalain-producing species, expanding the scope of betalain biosynthesis to include Aspergillus species. ImportanceTo date, betalains were restricted to plants of the order Caryophyllales, fungi of Basidiomycota and several types of bacteria. This study is the first to demonstrate the potential of Ascomycetes A. sydowii H-1 to synthesize betalains under controlled culture conditions, providing a detailed genetic and biological characterization of the associated genes and metabolic pathways. This finding demonstrates that betalain biosynthesis can be expanded to other Aspergillus.

microbiology↗

bioRxiv2024

5' HOXD Genes Differentially Regulate Gene Expression of Synovial Fibroblasts in Hand Joints

We previously demonstrated that Homeobox (HOX) transcription factors are differentially expressed between joint locations and can accurately assign synovial fibroblasts (SFs) to their correct joint location. We show here that the expression of the 5HOXD transcription factors HOXD10, HOXD11, and HOXD13 in SFs strikingly overlaps with predilection sites for the development of rheumatoid arthritis (RA). Changes in SFs gene expression after silencing 5HOXDs aligned with joint-specific differences of RA SFs. In particular, we identify HOXD13 as regulator or primary cilia function in SFs modulating cell cycle, DNA damage and proteasome activity. Accordingly, we show joint specific differences in primary cilia morphology, DNA damage repair and proteasome activity. We thus propose that HOXD13 and primary cilia play a role in shaping joint-specific SFs functions that might underlie the pathognomic pattern of joint involvement in RA.

cell biology↗

bioRxiv2024

Oncogenic RAS Induces a Distinctive Form of Non-Canonical Autophagy Mediated by the P38-ULK1-PI4KB Axis

Cancer cells with RAS mutations exhibit enhanced autophagy, essential for their proliferation and survival, making it a potential target for therapeutic intervention. However, the regulatory differences between RAS-induced autophagy and physiological autophagy remain poorly understood, complicating the development of cancer-specific anti-autophagy treatments. In this study, we identified a form of non-canonical autophagy induced by oncogenic KRAS expression, termed RAS-induced non-canonical autophagy via ATG8ylation (RINCAA). RINCAA involves distinct autophagic factors compared to those in starvation-induced autophagy and incorporates non-autophagic components, resulting in the formation of non-canonical autophagosomes with multivesicular/multilaminar structures labeled by ATG8 family proteins (e.g., LC3 and GABARAP). We have designated these structures as RAS-induced multivesicular/multilaminar bodies of ATG8ylation (RIMMBA). A notable feature of RINCAA is the substitution of the class III PI3K in canonical autophagy for PI4KB. We identified a regulatory P38-ULK1-PI4KB-WIPI2 signaling cascade governing this process, where ULK1 phosphorylation at S317, S479, S556, and S758 activates PI4KB. This activation involves PI4KB phosphorylation at S256 and T263, initiating PI4P production, ATG8ylation, and non-canonical autophagy. Importantly, elevated PI4KB phosphorylation at S256 and T263 was observed in RAS-mutated cancer cells and colorectal cancer specimens. Inhibition of PI4KB S256 and T263 phosphorylation led to a reduction in RINCAA activity and tumor growth in both xenograft and KPC models of pancreatic cancer, suggesting that ULK1-mediated PI4KB-Peptide-1 phosphorylation could represent a promising therapeutic target for RAS-mutated cancers.

cell biology↗

bioRxiv2024

N1-methylpseudouridine mRNA modification enhances efficiency and specificity of gene overexpression by preventing Prkra-mediated global translation repression

In vitro transcribed messenger RNA (IVT mRNA) has emerged as a pivotal tool in mRNA-based therapies and has been extensively employed in gene function studies and genetic tool applications. However, the IVT process generates double-stranded RNA (dsRNA) by-products that are recognized by dsRNA sensors, triggering innate immune responses. In this study, we comprehensively analyzed the detrimental effects of dsRNA by-products on early zebrafish embryos, revealing that these by-products induce cell necrosis and delay maternal-zygotic transition by reducing global translation efficiency via Prkra, a recently identified dsRNA sensor in pluripotent cells. Importantly, we demonstrate that N1-methylpseudouridine (m1{varphi}) modification of IVT mRNAs effectively mitigates these adverse effects, as m1{varphi}-modified dsRNAs exhibit significantly lower binding affinity to the Prkra dimer. Our findings underscore a previously overlooked challenge in the use of IVT mRNA in early embryos and offer a robust solution to enhance the fidelity of mRNA applications. Furthermore, we elucidate that m1{varphi} modification minimizes the dsRNA-induced stress response in pluripotent cells through a distinct mechanism.

developmental biology↗

bioRxiv2024

RegVelo: gene-regulatory-informed dynamics of single cells

RNA velocity has emerged as a popular approach for modeling cellular change along the phenotypic landscape but routinely omits regulatory interactions between genes. Conversely, methods that infer gene regulatory networks (GRNs) do not consider the dynamically changing nature of biological systems. To integrate these two currently disconnected fields, we present RegVelo, an end-to-end dynamic, interpretable, and actionable deep learning model that learns a joint model of splicing kinetics and gene regulatory relationships and allows us to perform in silico perturbation predictions. When applied to datasets of the cell cycle, human hematopoiesis, and murine pancreatic endocrinogenesis, RegVelo demonstrates superior predictive power for interactions and perturbation simulations, for example, compared to methods that focus solely on dynamics or GRN inference. To leverage RegVelos full potential, we studied the dynamics of zebrafish neural crest development and underlying regulatory mechanisms using our Smart-seq3 dataset and shared gene expression and chromatin accessibility measurements. Using RegVelos in silico perturbation predictions, validated by CRISPR/Cas9-mediated knockout and single-cell Perturb-seq, we establish transcription factor tfec as an early driver and elf1 as a novel regulator of pigment cell fate and propose a gene-regulatory circuit involving tfec and elf1 interactions via the toggle-switch model.

developmental biology↗

bioRxiv2024

Neural Circuit Mechanisms Underlying Dominance Traits and Social Competition

The survival of animals often hinges on their dominance status, established through repeated social competitions. The dorsomedial prefrontal cortex (dmPFC) plays a pivotal role in regulating these competitions, yet the formation of intrinsic traits like grit and aggressiveness, crucial for competitive outcomes, remains poorly understood. In this study, we constructed a dmPFC circuit model based on experimental recordings to replicate the characteristic activities of dmPFC neurons during various behavioral patterns observed in the dominance tube test. Our findings reveal that the dmPFC circuit supports bistable behavior states--effortful and passive--depending on external conditions. This bistability is essential for understanding how animals adapt their behaviors in social competitions, thereby influencing the establishment of social hierarchies. Our results indicate that increased self-excitation in pyramidal neurons within the dmPFC enhances the robustness of effortful behaviors, akin to perseverance, but reduces flexibility in responding to rapid external changes. This suggests that dominance status benefits more from perseverance than from increased aggression. Additionally, our study shows that when rapid responses to external signals are necessary, the basal activity in dmPFC neurons can be reconfigured to enhance flexibility, albeit at higher energy costs. This research advances our understanding of the neural basis of social behavior and provides a framework for further exploration into how neural circuits contribute to complex behavioral traits, offering insights into the neural dynamics underlying social dominance. This research also opens avenues for investigating psychiatric and neurological disorders where these mechanisms may be disrupted.

biophysics↗

bioRxiv2024

Cis-Regulatory Evolution of CCNB1IP1 Driving Gradual Increase of Cortical Size and Folding in primates

Neocortex expansion has a concerted relationship with folding, underlying evolution of human cognitive functions. However, molecular mechanisms underlying this significant evolutionary process remains unknown. Here, using tree shrew as an outgroup of primates, we identify a new regulator CCNB1IP1, which acquired its expression before the emergence of primates. Following the evolution of cis-regulatory elements, the CCNB1IP1 expression has steadily increased over the course of primate brain evolution, mirroring the gradual increase of neocortex. Mechanistically, we elucidated that CCNB1IP1 expression can cause an increase in neural progenitors through shortening G1 phase. Consistently, the CCNB1IP1 knock-in mouse model exhibited traits associated with enhanced learning and memory abilities. Together, our study reveals how changes in CCNB1IP1 expression may have contributed to the gradual evolution in primate brain.

evolutionary biology↗

bioRxiv2024

Store-operated Ca2+ entry is involved in endothelium-to-mesenchymal transition in lung vascular endothelial cells

Endothelial-to-mesenchymal transition (EndMT) is a biological process that converts endothelial cells to mesenchymal cells with increased proliferative and migrative abilities. EndMT has been implicated in the development of pulmonary vascular remodeling in pulmonary arterial hypertension (PAH), a fatal and progressive lung vascular disease. Transforming growth factor {beta}1 (TGF-{beta}1), an inflammatory cytokine, is known to induce EndMT in many types of endothelial cells including lung vascular endothelial cells (LVEC). An increase in cytosolic free Ca2+ concentration ([Ca2+]cyt) is a major stimulus for cellular proliferation and phenotypic transition, but it is unknown whether Ca2+ signaling is involved in EndMT. In this study we tested the hypothesis that TGF-{beta}1-induced EndMT in human LVEC is Ca2+-dependent. Treatment of LVEC with TGF-{beta}1 for 5-7 days resulted in increase in SNAI1/2 expression, induction of EndMT, upregulation of STIM/Orai1 and enhancement of store-operated Ca2+ entry (SOCE). Removal (or chelation) of extracellular or intracellular Ca2+ with EGTA or BAPTA-AM respectively abolished EndMT in response to TGF-{beta}1. Moreover, EGTA diminished TGF-{beta}1-induced increase in SNAI in a dose-dependent manner. Knockdown of either STIM1 or Orai1 was sufficient to prevent TGF-{beta}-mediated increase in SNAI1/2 and EndMT, but did not rescue the continuous adherent junctions. Blockade of Orai1 channels by AnCoA4 inhibited TGF-{beta}-mediated EndMT and restored PECAM1-positive continuous adherent junctions. In conclusion, intracellular Ca2+ signaling plays a critical role in TGF-{beta}-associated EndMT through enhanced SOCE and STIM1-Orai1 interaction. Thus, targeting Ca2+ signaling pathways regulating EndMT may be a novel therapeutic approach to treat PAH and other forms of pre-capillary pulmonary hypertension. New & NoteworthyEndMT has been reported to contribute to the pathogenesis of PH. In this study we aimed to determine the role of Ca2+ signaling in the development of EndMT in human lung vascular endothelial cells. Our data suggest that TGF-{beta}1 requires store-operated Ca2+ entry through STIM1/Orai channels to induce SNAI-mediated EndMT. For the first time we demonstrated that TGF-{beta}1-induced EndMT is Ca2+-dependent event while inhibition of STIM1/Orai interaction attenuated EndMT in response to TGF-{beta}1.

cell biology↗

bioRxiv2024

Elevated levels of intracellular RNA lariats suppress the antiviral response

Recent studies report the genetic loss of the lariat debranching enzyme (DBR1) activity increases susceptibility to viral infection. Here, we show that more than 25% of human introns contain large hairpin structures created by the folding of two Alu elements inserted in opposite orientation. In wildtype cells, this large reservoir of endogenous dsRNA is efficiently degraded. In DBR1-null cells, lariats accumulate in the cytosol and dsRNA becomes enriched. We demonstrate how the chronic exposure to these lariats attenuates the dsRNA sensors, reducing the response of the MDA5, RIG-I, RNase L and PKR sensing pathways. We observe evidence for both attenuation and endogenous dsRNA in anti-viral response and viral evasion. Lariats are transiently elevated during infection (e.g. HSV-1, influenza, KSHV). The HSV-1 genome expresses multiple, stable lariats that may attenuate dsRNA sensors during latency. HIGHLIGHTSO_LIIntronic inverted repeat Alu elements constitute largest source of endogenous dsRNA. C_LIO_LIIn the absence of DBR1, lariats accumulate in the cytoplasm and form dsRNA. C_LIO_LIChronic exposure to endogenous dsRNA in a DBR1-depleted environment desensitizes the dsRNA sensing pathway. C_LIO_LIICP0 intron 1 of HSV-1 has a highly-structured stable lariat. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=196 HEIGHT=200 SRC="FIGDIR/small/627371v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@3698bborg.highwire.dtl.DTLVardef@654727org.highwire.dtl.DTLVardef@1229245org.highwire.dtl.DTLVardef@b10622_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2024

Cell Type Differentiation Using Network Clustering Algorithms

Single cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the cell type annotation, which is usually inferred by cell separation approaches. In-silico algorithms that accurately identify individual cell types in ongoing single-cell sequencing studies are crucial for unlocking cellular heterogeneity and understanding the biological basis of diseases. In this study, we focus on robustly identifying cell types in single-cell RNA sequencing data; we conduct a comparative analysis using methods established in biology, like Seurat, Leiden, and WGCNA, as well as Infomap, statistical inference via Stochastic Block Models (SBM), and single-cell Graph Neural Networks (scGNN). We also analyze preprocessing pipelines to identify and optimize key components in the process. Leveraging two independent datasets, PBMC and ROSMAP, we employ clustering algorithms on cell-cell networks derived from gene expression data. Our findings reveal that while clusters detected by WGCNA exhibit limited correspondence with cell types, those identified by multiresolution Infomap and Leiden, and SBM show a closer alignment, with Infomap standing out as a particularly effective approach. Infomap notably offers valuable insights for the precise characterization of cellular landscapes related to neurodegenration and immunology in scRNA-seq.

bioinformatics↗

bioRxiv2024

Epigenetic remodeling and 3D chromatin reorganization governed by NKX2-1 drive neuroendocrine prostate cancer

A significant number of castration-resistant prostate cancer (CRPC) evolve into a neuroendocrine (NE) subtype termed NEPC, leading to resistance to androgen receptor (AR) pathway inhibitors and poor clinical outcomes. Through Hi-C analyses of a panel of patient-derived xenograft tumors, here we report drastically different 3D chromatin architectures between NEPC and CRPC samples. Such chromatin re-organization was faithfully recapitulated in vitro on isogenic cells undergoing NE transformation (NET). Mechanistically, neural transcription factor (TF) NKX2-1 is selectively and highly expressed in NEPC tumors and is indispensable for NET across various models. NKX2-1 preferentially binds to gene promoters, but it interacts with chromatin-pioneering factors such as FOXA2 at enhancer elements through chromatin looping, further strengthening FOXA2 binding at NE enhancers. Conversely, FOXA2 mediates regional DNA demethylation, attributing to NE enhancer priming and inducing NKX2-1 expression, forming a feed-forward loop. Single-cell multiome analyses of isogenic cells over time-course NET cells identify individual cells amid luminal-to-NE transformation, exhibiting intermediate epigenetic and transcriptome states. Lastly, NKX2-1/FOXA2 interacts with, and recruits CBP/p300 proteins to activate NE enhancers, and pharmacological inhibitors of CBP/p300 effectively blunted NE gene expression and abolished NEPC tumor growth. Thus, our study reports a hierarchical network of TFs governed by NKX2-1 in regulating the 2D and 3D chromatin re-organization during NET and uncovers a promising therapeutic approach to eradicate NEPC.

cancer biology↗

bioRxiv2024

The membrane-associated ubiquitin ligase MARCHF8 promotes cancer immune evasion by degrading MHC class I proteins

The loss of major histocompatibility complex class I (MHC-I) molecules has been proposed as a mechanism by which cancer cells evade tumor-specific T cells in immune checkpoint inhibitor (ICI)-refractory patients. Nevertheless, the mechanism by which cancer cells downregulate MHC-I is poorly understood. We report here that membrane-associated RING-CH-type finger 8 (MARCHF8), upregulated by human papillomavirus (HPV), ubiquitinates and degrades MHC-I proteins in HPV-positive head and neck cancer (HPV+ HNC). MARCHF8 knockdown restores MHC-I levels on HPV+ HNC cells. We further reveal that Marchf8 knockout significantly suppresses tumor growth and increases the infiltration of natural killer (NK) and T cells in the tumor microenvironment (TME). Furthermore, Marchf8 knockout markedly increases crosstalk between the cytotoxic NK cells and CD8+ T cells with macrophages and enhances the tumor cell-killing activity of CD8+ T cells. CD8+ T cell depletion in mice abrogates Marchf8 knockout-driven tumor suppression and T cell infiltration. Interestingly, Marchf8 knockout, in combination with anti-PD-1 treatment, synergistically suppresses tumor growth in mice bearing ICI-refractory tumors. Taken together, our finding suggests that MARCHF8 could be a promising target for novel immunotherapy for HPV+ HNC patients. One Sentence SummaryTargeting MARCHF8 restores MHC-I proteins, induces antitumor CD8+ T cell activity, and suppresses the growth of ICI-refractory tumors.

cancer biology↗

bioRxiv2024

Global analysis of protein and small-molecule substrates of ubiquitin-like proteins (UBLs)

AbstractUbiquitin-like proteins (UBLs) constitute a family of evolutionarily conserved proteins that share similarities with ubiquitin in 3D structures and modification mechanisms. For most UBLs including Small-Ubiquitin-like Modifiers (SUMO), their modification sites on substrate proteins cannot be identified using the mass spectrometry-based method that has been successful for identifying ubiquitination sites, unless a UBL protein is mutated accordingly. To identify UBL modification sites without having to mutate UBL, we have developed a dedicated search engine pLink-UBL on the basis of pLink, a software tool for identification of cross-linked peptide pairs. pLink-UBL exhibited superior precision, sensitivity, and speed than "make-do" search engines such as MaxQuant, pFind, and pLink. For example, compared to MaxQuant, pLink-UBL increased the number of identified SUMOylation sites by 50 [~] 300% from the same datasets. Additionally, we present a method for identifying small-molecule modifications of UBLs. This method involves antibody enrichment of a UBL C-terminal peptide following enrichment of a UBL protein, followed by LC-MS/MS analysis and a pFind 3 blind search to identify unexpected modifications. Using this method, we have discovered non-protein substrates of SUMO, of which spermidine is the major one for fission yeast SUMO Pmt3. Spermidine can be conjugated to the C-terminal carboxylate group of Pmt3 through its N1 or also likely, N8 amino group in the presence of SUMO E1, E2, and ATP. Pmt3-spermidine conjugation does not require E3 and can be reversed by SUMO isopeptidase Ulp1. SUMO-spermidine conjugation is present in mice and humans. Also, spermidine can be conjugated to ubiquitin in vitro by E1 and E2 in the presence of ATP. The above observations suggest that spermidine may be a common small molecule substrate of SUMO and possibly ubiquitin across eukaryotic species. HighlightsO_LIA specialized software pLink-UBL enables precise identification of UBL modification sites on protein substrates. C_LIO_LIpFind 3 blind search enables identification of unexpected small-molecule substrates of a UBL protein. C_LIO_LISpermidine is a small molecule substrate of fission yeast SUMO Pmt3 as well as mammalian SUMO proteins. C_LIO_LIThe C-terminal carboxyl group of Pmt3 can be attached to the N1 or likely also the N8 amino group of spermidine in the presence of E1, E2, and ATP, and can be detached by SUMO isopeptidase. C_LI

biochemistry↗

bioRxiv2024

A Novel Efficient Algorithm for Common Variants Genotyping from Low-Coverage Sequencing Data

Low-coverage whole-genome sequencing (LC-WGS) combined with imputation represents a cost-effective genotyping strategy for genome-wide association studies (GWAS) in population genetics. In this study, the Limpute algorithm was developed specifically for genotyping from low-coverage sequencing data, it extracts variant information from low-coverage sequencing data by the novel virtual probes and subsequently performs imputation through cross-reference between samples. Compared to the currently dominant algorithm for low-coverage sequencing data, GLIMPSE2, Limpute achieved similar imputation performance within common variants (r2>0.87) while the GLIMPSE2 has a runtime approximately five times longer than that of the Limpute. Furthermore, to fully evaluate the accuracy of genotype imputation by Limpute, we utilized high-coverage whole-genome sequencing data (30x), microarray data, and high-coverage whole-exome sequencing data (30x) as validation sets respectively. The results demonstrated that Limpute has a good imputation performance for common variants using low-coverage sequencing data (1x: r2 > 0.87; 3x: r2 > 0.92; 5x: r2 > 0.93). In summary, we present a highly efficient, low-cost algorithm for genotyping from low-coverage sequencing data, offering substantial support for genetic research.

bioinformatics↗