Biology subjects

Shao, C.

Publications and source records attributed to Shao, C..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

DNA Methylation in Sex Chromosomes and Genes under Selection Underpins the Emergence of Sexual Size Dimorphism

Sexual size dimorphism (SSD) refers to the differences in body size between males and females. Epigenetics such as methylation contribute to shaping phenotypes, nevertheless, their role in SSD is still unclear. Here, we used Cynoglossus semilaevis, a species with larger females known as female-biased SSD, as a model to investigate the role of methylation in the emergence and regulation of SSD. Methylomes and transcriptomes were constructed in four tissues (brain, liver, muscle, and gonad) from three key life stages: juveniles (3-months post fertilization), male mature stage (1-year post fertilization; ypf), and female mature stage (3 ypf). In 1 ypf and 3 ypf females showed lower methylation, while the number of differentially methylated regions between sexes increased during the lifetime. Genes at the top of the growth hormone/insulin-like growth factor (GH/IGF) axis and hypothalamus-pituitary-gonadal axis (gh1, igf1, gnrhr2r-like, err{gamma}, etc.) showed differential methylation between sexes, consistent with sex-related differences in growth. The female-specific W chromosome showed higher methylation than the autosomes or the Z chromosome. Genes of the IGF signaling network that negatively regulate growth and located on W chromosome were hyper-methylated than their Z homologs. Furthermore, genes with a faster evolutionary rate in C. semilaevis exhibited lower methylation levels than the background genes, suggesting an important evolutionary role for DNA methylation in shaping SSD. Our results provide a comprehensive depiction of methylation regulation of SSD in vertebrates, and improve our understanding of how methylation regulation can help organisms to respond to natural selection, and allocate resources between the sexes.

developmental biology↗

bioRxiv2025

Q-score as a reliability measure for protein, nucleic acid, and small molecule atomic coordinate models derived from 3DEM density maps

Atomic coordinate models are important in the interpretation of 3D maps produced with cryoEM and sub-tomogram averaging in cryoET, or more generically, 3D electron microscopy (3DEM). In addition to visual inspection of such maps and models, quantitative metrics convey the reliability of the atomic coordinates, in particular how well the model is supported by the experimentally determined 3DEM map. A recently introduced metric, Q-score, was shown to correlate well with the reported resolution of the map for well-fitted models. Here we present new statistical analyses of Q-scores based on its application to [~]10,000 maps and models archived in EMDB and PDB. Further we introduce two new metrics based on Q-score: Q-relative-all and Q-relative-resolution to compare a map and model to all entries in the EMDB and those with similar resolution respectively. We also explore through illustrative examples of proteins, nucleic acids, and small molecules how Q-scores can indicate whether the atomic coordinates are well-fitted to 3DEM maps and whether some parts of a map may be poorly resolved due to factors such as molecular flexibility, radiation damage, and/or conformational heterogeneity. Lastly, we show examples of how Q-scores can effectively be converted to atomic B-factors. These analyses provide a basis for how Q-scores can be interpreted effectively to evaluate 3DEM maps and atomic coordinate models prior to publication and archiving. SynopsisQ-scores are calculated each atom in models fitted to 3DEM (3D electron microscopy) maps. They measure how well the model fits the map, and also reflect the quality of the map as they correlate to resolution. Here we develop a statistical model for Q-scores applied to many maps and models in the EMDB (Electron Microscopy Database) and PDB (Protein Data Bank) respectively, and show how it can be used to assess the reliability of entire models as well as their subcomponents.

biochemistry↗

bioRxiv2024

Genetic code expansion reveals site-specific lactylation in living cells reshapes protein function

Still in its infancy, the functions of lactylation remain elusive. To address this, we established a comprehensive workflow for lactylation studies that integrates the discovery of lactylation sites with proteomics, the expression of site-specifically lactylated proteins in living cells via genetic code expansion (GCE), and the evaluation of the resulting biological consequences. Specifically, we developed a wet-and-dry-lab combined proteomics strategy, and identified highly conserved lactylation at ALDOA-K147. Driven by its potential biological significance, we site-specifically expressed this lactylated ALDOA in mammalian cells and interrogated the biological changes. We discovered that it not only inhibited enzyme activity but also elicited gain-of-function effects----it dramatically reshaped the functionality of ALDOA by improving stability, enhancing nuclear translocation and affecting gene expression. Further, we demonstrated broad applicability of this workflow to study distinct histone lactylation sites. Together, we anticipate its wide uses in elucidating causative links between site-specific lactylation and target-centric or cell-wide changes.

molecular biology↗

bioRxiv2024

Molecular and spatiotemporal characterization of cells in murine atherosclerotic plaques

ObjectiveSingle-cell technologies have revolutionized our understanding of the phenotypic and transcriptional diversity of aortic leukocytes in atherosclerotic humans and mice. However, enzymatically dissociated tissues lose the spatial context of plaque cells in situ. Here we utilized imaging mass cytometry (IMC) combining with single-cell RNA sequencing (scRNA-seq) to characterize the spatial distribution dynamics, phenotypic transitions, metabolic and functional phenotypes, and the intercellular interaction networks of plaque cells during atherosclerotic progression. Additionally, the dynamic immune landscape of circulating leukocytes associated with atherosclerosis was characterized using cytometry of time of flight (CyTOF). Approach and ResultsA highly multiplexed IMC panel with 33 metal-conjugated antibodies was designed to generate 11 highly multiplexed histology images of aortic root tissues from ApoE-/- mice on high-fat diet at different stage of atherosclerosis. Using histoCAT, we identified 8 principal cell subtypes with distinct phenotypic and geographic dynamics. Furthermore, IMC-defined cell subsets partially corresponded to scRNA-seq-annotated aortic cell subtypes, including 4 macrophage subsets, neutrophils, smooth muscle cells (SMCs) and SMC-derived SEMs (Stem cell, endothelial cell and macrophage-like cell). Activation of inflammatory pathways, increased oxidative phosphorylation and augmented osteoclast differentiation were observed in macrophage populations, SMCs and SEMs from an early stage to advanced stage of atherosclerosis. Notably, cell neighborhood analysis by IMC uncovered multifaceted cell-cell interactions within the plaque, in particular in neutrophil-mediated interactions with smooth muscle cells and macrophages, which were confirmed by ligand-receptor interactions based on scRNA-seq data. Additionally, characterization of the peripheral immune cells by CyTOF revealed an increased ratio of myeloid cells to lymphocytes, and certain neutrophil and monocyte subpopulations also exhibited enhanced lipid metabolism and glycolysis as well as activated inflammatory signaling. ConclusionThis study provides a dynamic spatiotemporal landscape of atherosclerotic lesions and peripheral leukocytes. The new information based on IMC may help understand atherosclerotic pathology and develop novel therapeutic strategies.

pathology↗

bioRxiv2024

Survival of hepatocytes from executioner caspase activation promotes liver regeneration by enhancing JAK/STAT3 activity

Activation of executioner caspases, which is a key step in the apoptotic process, has been reported to promote tissue regeneration by sending pro-proliferation signals to the surrounding cells. However, whether executioner caspase activation (ECA) has cell-autonomous effect on tissue regeneration is not clear. Here, by generating transgenic mice carrying a lineage tracing system for cells that have experienced ECA, we demonstrate that transient ECA occurs in hepatocytes during liver regeneration after partial hepatectomy (PHx) or carbon tetrachloride (CCl4) treatment. Instead of committing apoptotic cell death, the majority of hepatocytes with ECA survive and proliferate to contribute to liver regeneration. Interestingly, inhibition of ECA in livers results in reduced hepatocyte proliferation and impaired regeneration, whereas increasing ECA to a level sufficient to kill hepatocytes also impedes regeneration, suggesting that ECA needs to be precisely controlled during liver regeneration. Mechanistic studies show that ECA promotes hepatocyte proliferation during regeneration through enhancing JAK/STAT3 activity. Our work reveals an essential role of survival of hepatocytes from ECA in liver regeneration.

developmental biology↗

bioRxiv2024

Effect of resistant compartment on pathogen strategy in partially migratory populations

Migration, the recurring movement of animals between habitats, can exert pressures on the pathogens they host. Properties of host populations can determine pathogen strategy (e.g. virulence) to increase pathogen fitness. To study the effect of adding a resistant compartment on virulence evolution, we developed an SIRS model and examined the winning pathogen strategy across different rates of recovery and of immunity loss. We find that when hosts spend a relatively long time in the resistant class, a more virulent pathogen evolves. These results have implications in conservation of migratory animal populations afflicted by disease.

ecology↗

bioRxiv2024

SLC13A2-transported citrate is a metabolic signal for PKM2 acetylation and degradation to suppress tumor growth

Background and aimsMetabolic reprogramming represents as a pivotal hallmark for cancer, but TCA cycle in tumorigenesis and progression has long been neglected. Solute carrier (SLC) transporters mediate the transport of TCA cycle intermediates across membrane, but their functions in cancer pathogenesis remains unclear. Approaches & ResultsUsing integrated analysis of solute carrier (SLC) transporters for TCA cycle intermediates, we found that SLC13A2 was consistently downregulated in hepatocellular carcinoma (HCC) cells and liver tissues from human patients and heterogeneous mouse models. Adeno-associated virus (AAV)-transduced liver-specific knockout or overexpression of SLC13A2 promoted or ameliorated HCC progression in the primary mouse model, demonstrating that SLC13A2 served as a protective factor during HCC pathogenesis. SLC13A2 inhibited HCC cell proliferation by decreasing mitochondrial function via suppressed oxygen consumption and ATP production. Combined with metabolic flux analysis, we found that SLC13A2 imported citrate, which secreted acetyl-CoA as a precursor for the acetylation of pyruvate kinase muscle isozyme M2 (PKM2), which led to its protein degradation. Decreased activity of pyruvate kinase depleted pyruvate for the TCA cycle, thus inhibiting amino acid synthesis and nucleotide metabolism. Additionally, a decrease in nuclear PKM2 protein transduced to reprogrammed gene transcription for cell proliferation and metabolism which is required for tumor growth. ConclusionsThis study revealed that citrate transported by SLC13A2 acts as a signal to disrupt metabolic homeostasis for tumor growth and suggests potential drug targets for HCC therapy. graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC="FIGDIR/small/591017v2_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@80c95eorg.highwire.dtl.DTLVardef@124750corg.highwire.dtl.DTLVardef@809ab4org.highwire.dtl.DTLVardef@12cbe74_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

EGF/STAT1 signals to maintain ECM1 expression in hepatic homeostasis are disrupted by IFNγ/NRF2 in chronic liver disease

In healthy livers, extracellular matrix protein 1 (ECM1) is essential for liver homeostasis by keeping latent transforming growth factor-{beta} (LTGF-{beta}) quiescent. Upon hepatocyte damage, ECM1 is downregulated, facilitating LTGF-{beta} activation and fibrogenesis. However, little is known about how hepatic ECM1 is regulated. Here we found in healthy hepatocytes, EGF/EGFR signaling sustains ECM1 expression through phosphorylating STAT1 at S727, enhancing its binding to the ECM1 promoter and boosting gene transcription. During liver inflammation, accumulating IFN{gamma} disrupts this process by downregulating EGFR and inhibiting EGF/EGFR/STAT1-mediated ECM1 promoter binding. Mechanistically, IFN{gamma}-induced STAT1 phosphorylation at Y701 impairs the binding of p-STAT1 S727 to the ECM1 promoter. Additionally, IFN{gamma} induces NRF2 nuclear translocation, which repressively binds to the ECM1 promoter, further reducing its expression. These findings were confirmed in several chronic liver disease (CLD) mouse models. Moreover, AAV8-ECM1 significantly attenuates liver fibrosis and injuries in Western diet (WD)-fed mice. Notably, in patients with CLD, ECM1 levels align with EGFR expression, while NRF2 and LTGF-{beta} activation show a negative correlation with both.

cell biology↗

bioRxiv2024

Retinoic acid generates a beneficial microenvironment for liver progenitor cell activation in acute liver failure

ObjectiveWhen massive necrosis occurs in acute liver failure (ALF), rapid expansion of hepatic stem cells called liver progenitor cells (LPC) in a process called ductular reaction (DR) is required for survival. The exact underlying mechanisms of this process are not known to date. In ALF, high levels of retinoic acid (RA), a molecule known for its pleiotropic roles in embryonic development, are secreted by activated hepatic stellate cells (HSCs). We hypothesized that RA plays a key role during DR in ALF. MethodsRNA-Seq was performed to identify molecular signaling pathways affected by all-trans retinoid acid (atRA) treatment in HepaRG LPC cells. Functional assays for RA were performed in HepaRG cells with atRA treatment as well as co-culture with LX-2 cells in vitro, and liver tissue of patients suffering from ALF in vivo. ResultsUnder ALF conditions, activated HSCs secreted RA, inducing RAR nuclear translocation in LPCs. RNA-seq data and investigations in HepaRG cells revealed that atRA treatment activated the WNT-{beta}-Catenin pathway, enhanced stemness genes (SOX9, AFP, et.al), promoted energy storage, and elevated the expression of ATP-binding cassette (ABC) transporters depending on RAR nuclear translocation. Further, atRA treatment-induced pathways were confirmed in a co-culture system of HepaRG with LX-2 cells. Patients with ALF who displayed RAR nuclear translocation in LPC had significantly better MELD scores than those without. ConclusionIn ALF, RA secreted by activated hepatic stellate cells promotes LPC activation, a prerequisite for subsequent LPC-mediated liver regeneration.

cell biology↗

bioRxiv2023

Extracellular Matrix Protein 1 Attenuates Hepatic Fibrosis by Inhibiting TSP-, ADAMTS-, and MMP-Mediated Latent TGF-β1 Activation

ObjectiveExtracellular Matrix Protein 1 (ECM1) serves as a gatekeeper of hepatic fibrosis by maintaining transforming growth factor-{beta}1 (TGF-{beta}1) in its latent form. ECM1 knockout (KO) causes latent (L) TGF-{beta}1 activation, resulting in hepatic fibrosis with rapid mortality. In chronic liver disease (CLD), ECM1 decreases with increasing CLD severity. We investigate the regulatory role of ECM1 in TGF-{beta}1 bioavailability and its impact on CLD progression. DesignRNAseq was performed to analyze hepatic gene expression. Functional assays were performed using hepatic stellate cells (HSCs), Ecm1-KO and Fxr-KO mice, patient liver tissue, and computer simulations. ResultsExpression of LTGF-{beta}1 activators, including thrombospondins (TSPs), ADAMTS proteases, and matrix metalloproteinases (MMPs) increased along with pro-fibrotic gene expression in liver tissue of Ecm1-KO mice. In HSCs, overexpression of ECM1 prevented TSP-1-, ADAMTS1-, and MMP-2/9-mediated LTGF-{beta}1 activation. In vitro interaction assays demonstrated that ECM1 inhibited LTGF-{beta}1 activation by interacting with TSP-1 and ADAMTS1 via their respective, intrinsic KRFK or KTFR amino acid sequences, and by suppressing MMP-2/9 proteolytic activity. In mice, ECM1 overexpression attenuated KRFK-induced LTGF-{beta}1 activation, while KTFR treatment reversed Ecm1-KO- and Fxr-KO-mediated liver injury. In patients with CLD, ECM1 expression was inversely correlated with TSP-1, ADAMTS1, MMP-2/9 expression and LTGF-{beta}1 activation. And these results were complemented by a computational compartment model representing the key network of cellular phenotypes and predicted interactions in liver fibrogenesis. ConclusionOur findings underscore the hepatoprotective effect of ECM1, which interferes with mediators of LTGF-{beta}1 activation, suggesting ECM1 or its representative peptide as potential anti-fibrotic therapies in CLD. What is already known on this topic?[tpltrtarr] ECM1 expression is negatively correlated with CLD progression. [tpltrtarr]ECM1 maintains liver homeostasis by keeping TGF-{beta}1 latency. What this study adds?[tpltrtarr] ECM1 inhibits LTGF-{beta}1 activation through interfering with key activators, including TSP-1, ADAMTS1, MMP-2, and MMP-9. [tpltrtarr]ECM1 interacts with TSP-1 and ADAMTS1 via their respective, intrinsic KRFK or KTFR amino acid motifs, and suppresses MMP-2/9 proteolytic activity. [tpltrtarr]In vivo, ECM1 overexpression mitigates KRFK peptide-induced LTGF-{beta}1 activation, while KTFR peptide rescues Ecm1-KO- and Fxr-KO-induced liver injury. [tpltrtarr]ECM1 expression inversely correlates with TSP-1, ADAMTS1, MMP-2/9 expression and LTGF-{beta}1 activation in CLD patients. How might this study affect research, practice or policy?[tpltrtarr] Considering severe adverse effects associated with anti-fibrotic treatments utilizing TGF-{beta}1 receptor inhibitors, our findings indicate that restoration of ECM1 expression or phenocopying peptides might represent a novel and safe route to urgently needed anti-fibrotic therapies in CLD.

cell biology↗

bioRxiv2023

FOXA2 is essential for maintaining the urea cycle in acute liver failure

Hepatic encephalopathy is a lethal complication of acute liver failure (ALF), and is caused by hyperammonemia. Ammonia clearance by the liver requires an intact and complete urea cycle comprising six enzymes, including the rate-limiting enzyme carbamoyl phosphate synthetase I (CPS1). To date, the detailed regulation of CPS1 transcription in order to maintain urea cycle in physiological condition and ALF remains largely unknown. This study scrutinizes the role of pioneer factor forkhead box A 2 (FOXA2) in the regulation of CPS1 transcription, urea cycle performance and hyperammonemia. Physiologically, CPS1 transcription requires FOXA2 to maintain chromatin accessibility on its enhancers, which is essential for CCAAT enhancer-binding protein-alpha (C/EBP) binding to activate gene transcription. In ALF, hepatic C/EBP expression is inhibited by inflammatory mediators such as TGF-{beta} and TNF-. In this setting, retinoic acid receptor synergizes with FOXA2 to maintain CPS1 transcriptions. Once ALF patients suffer from massive hepatic necrosis, liver progenitor cells initiate a transcription network comprising FOXA2 and C/EBP to perform the urea cycle and prevent hyperammonemia. In ALF, hepatic encephalopathy occurs in patients lacking hepatic FOXA2 expression. In mice with acetaminophen-induced ALF, injection of Foxa2-AAV8 maintains urea cycle and prevents hyperammonemia. Taken together, FOXA2 is essential for maintaining the urea cycle. Pharmaceutical induction of hepatic FOXA2 expression might represent a novel approach to treat hepatic encephalopathy in ALF. One Sentence SummaryPioneer factor FOXA2 synergizes with C/EBP or RAR to maintain urea cycle in acute liver failure

molecular biology↗

bioRxiv2023

T2T-YAO: a Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

Since its initial release in 2001, the human reference genome has been continuously improved in both continuity and accuracy, and the recently-released telomere-to-telomere version--T2T-CHM13--reaches its top quality after 20 years of effort. However, T2T-CHM13 does not represent an authentic diploid human genome, but rather one derived from a simplified, nearly homozygous genome of a hydatidiform mole cell line. To address this limitation and provide an alternative pertinent to the Chinese population, the largest ethnic group in the world, we have assembled a complete diploid human genome of a male Han Chinese, T2T-YAO, which includes telomere-to-telomere assemblies for all the 22+X+M and 22+Y chromosomes in his two haploids inherited separately from his parents. Both haplotypes contain no artificial sequences or model nucleotides and possess a high quality comparable to CHM13, with fewer than one error per [~]14 Mb. Derived from the individual who lives in the aboriginal region of Han Chinese, T2T-YAO shows clear ancestry and potential genetic continuity from the ancient ancestors of the Han population. Each haplotype of T2T-YAO possesses [~]340 Mb exclusive sequences and [~]3100 unique genes as compared to CHM13, and their genome sequences show greater genetic distance to CHM13 than to each other in terms of nucleotide polymorphism and structural variations. The construction of T2T-YAO would serve as a high-quality diploid reference that enables precise delineation of genomic variations in a haplotype-sensitive manner, which could advance our understandings in human evolution, hereditability of diseases and phenotypes, especially within the context of the unique variations of the Chinese population.

genetics↗

bioRxiv2023

Urine proteomic characterization of active and recovered COVID-19 patients

BackgroundThe molecular changes in COVID-19 patients have been reported in many studies. However, there were limited attention has been given to the disease sequelae in the recovered COVID-19 patients. MethodsHere, we profiled the urine proteome of a cohort of 29 COVID-19 patients in their disease onset and recovery period, including mild, severe, and fatal patients and survivors who recovered from mild or severe symptoms. ResultsThe molecular changes in the COVID-19 onset period suggest that viral infections, immune response changes, multiple organ damage, cell injury, coagulation system changes and metabolic changes are associated with COVID-19 progression. The patients who recovered from COVID-19 still exhibited an innate immune response, coagulation system changes and central nervous system changes. We also proposed four potential biomarkers to monitor the whole progression period of COVID-19. ConclusionsOur findings provide valuable knowledge about the potential molecular pathological changes and biomarkers that can be used to monitor the whole period of COVID-19.

biochemistry↗

bioRxiv2023

A multidimensional atlas of human glioblastoma organoids reveals highly coordinated molecular networks and effective drugs

Recent advances in the genomics of glioblastoma (GBM) led to the introduction of molecular neuropathology but failed to translate into treatment improvement. This is largely attributed to the genetic and phenotypic heterogeneity of GBM, which are considered the major obstacle to GBM therapy. Here, we use advanced human GBM organoid (LEGO: Laboratory Engineered Glioblastoma Organoid) and provide an unprecedented comprehensive characterization of LEGO models using single-cell transcriptome, DNA methylome, metabolome, lipidome, proteome, and phospho-proteome analysis. We discovered that genetic heterogeneity dictates functional heterogeneity across molecular layers and demonstrates that NF1 mutation drives mesenchymal signature. Most importantly, we found that glycerol lipid reprogramming is a hallmark of GBM, and several targets and drugs were discovered along this line. We also provide a genotype-based drug reference map using LEGO-based drug screen. This study provides novel human GBM models and a research path toward effective GBM therapy.

cancer biology↗

bioRxiv2023

Insulin determines the effects of TGF-beta on HNF4alpha transcription and epithelial-to-mesenchymal transition in hepatocytes

To date, epithelial-to-mesenchymal transition (EMT) has been observed in cultured hepatocytes, but not in vivo. TGF-{beta} is supposed to initiate EMT in hepatocytes by inhibiting HNF4 through the SMAD2/3 complex. We report that TGF-{beta} does not directly inhibit HNF4, but contributes to its transcriptional regulation by SMAD2/3 recruiting acetyltransferase CBP/p300 to the HNF4 promoter. The recruitment of CBP/p300 is indispensable for C/EBPa binding, another essential requirement for constitutive HNF4 expression in hepatocytes. In contrast to the observed induction of HNF4, SMAD2/3 inhibits C/EBP transcription. Therefore, long-term TGF-{beta} incubation results in C/EBP depletion, which abrogates HNF4 expression. Intriguingly, SMAD2/3 inhibitory binding to the C/EBP promoter is abolished by insulin. Thus, maintaining a high insulin concentration in culture medium ensures constitutive HNF4 and thereby prevents TGF-{beta}-induced hepatocyte EMT. Furthermore, insulin inhibits TGF-{beta}-induced SMAD2/3 binding to the promoters of core EMT transcription factors e.g., SNAI1. SNAI1 transcription requires both SMAD2/3 and FOXO1 in nuclei. Insulin inhibits SNAI1 transcription through impeding SMAD2/3 binding to its promoter and inducing FOXO1 phosphorylation. Hence, insulin is the key factor that prevents TGF-{beta}-induced EMT in hepatocytes.

cell biology↗

bioRxiv2022

Assessing PDB Macromolecular Crystal Structure Confidence at the Individual Amino Acid Residue Level

Approximately 87% of the more than 190,000 atomic-level, (three-dimensional) 3D biostructures in the Protein Data Bank (PDB) were determined using macromolecular crystallography (MX). Agreement between 3D atomic coordinates and experimental data for >100 million individual amino acid residues occurring within [~]150,000 PDB MX structures was analyzed in detail. The Real-Space-Correlation-Coefficient (RSCC) calculated using the 3D atomic coordinates for each residue and experimental electron density enables outlier detection of unreliable atomic coordinates (particularly important for poorly-resolved sidechain atoms) and ready evaluation of local structure quality by PDB users. For human protein MX structures in PDB, comparisons of per-residue RSCC experimental-agreement metric with AlphaFold2 computed structure model confidence (pLDDT-predicted local distance difference test) document (i) that RSCC values and pLDDT scores are correlated (median correlation coefficient[~]0.41), and (ii) that experimentally-determined MX structures (3.5 [A] resolution or better) are more reliable than AlphaFold2 computed structure models and should be used preferentially whenever possible.

biophysics↗

bioRxiv2022

Systematic Evaluation of Different R-loop Mapping Methods: Achieving Consensus, Resolving Discrepancies and Uncovering Distinct Types of RNA:DNA Hybrids

R-loop, a three-stranded nucleic acid structure, has been recognized to play pivotal roles in critical physiological and pathological processes. Multiple technologies have been developed to profile R-loops genome-wide, but the existing data suffer from major discrepancies on determining genuine R-loop localization and its biological functions. Here, we experimentally and computationally evaluate eight representative R-loop mapping technologies, and reveal inherent biases and artifacts of individual technologies as key sources of discrepancies. Analyzing signals detected with different R-loop mapping strategies, we note that genuine R-loops predominately form at gene promoter regions, whereas most signals in gene body likely result from structured RNAs as part of repeat-containing transcripts. Interestingly, our analysis also uncovers two classes of R-loops: The first class consists of typical R-loops where the single-stranded DNA binding protein RPA binds both the template and non-template strands. By contrast, the second class appears independent of Pol II-mediated transcription and is characterized by RPA binding only in the template strand. These two different classes of RNA:DNA hybrids in the genome suggest distinct biochemical activities involved in their formation and regulation. In sum, our findings will guide future use of suitable technology for specific experimental purposes and the interpretation of R-loop functions.

genomics↗

bioRxiv2022

Single-cell transcriptome landscape of zebrafish liver reveals hepatocytes and immune cell interactions in understanding nonalcoholic fatty liver disease

Zebrafish have emerged as an attractive animal model for studying nonalcoholic fatty liver disease (NAFLD). However, little is known about the cell types and intercellular interactions in zebrafish liver. Here, we established a liver atlas that consists of 10 cell types using single-cell RNA sequencing. By examining the heterogeneity of hepatocytes and analyzing the expression of NAFLD-associated genes in the specific cluster, we provide a potential target cell model to study NAFLD. Additionally, our analysis identified two distinct resident macrophages with inflammatory and noninflammatory functions and characterized the successive stepwise development of T cell subtypes in the liver. Importantly, we uncovered possible molecular mechanisms and revealed the central regulation of macrophages on target cells of fatty liver by analyzing the cellular interaction between hepatocytes and immune cells. Our data provide valuable information for future research on NAFLD in zebrafish.

immunology↗