Biology subjects

He, W.

Publications and source records attributed to He, W..

At least 127 records · Page 7Linked to original sources

bioRxiv2022

Modeling Breast Cancer Proliferation, Drug Synergies, and Alternating Therapies

Estrogen receptor positive (ER+) breast cancer is responsive to a number of targeted therapies used clinically. Unfortunately, the continuous application of targeted therapy often results in resistance. Mathematical modeling of the dynamics of cancer cell drug responses can help find better therapies that not only hold proliferation in check but also potentially stave off resistance. Toward this end, we developed a mathematical model that can simulate various mono, combination and alternating therapies for ER+ breast cancer cells at different doses over long time scales. The model is used to look for optimal drug combinations and predicts a significant synergism between Cdk4/6 inhibitors in combination with the anti-estrogen fulvestrant, which may help explain the clinical success of adding CDK4/6 inhibitors to anti-estrogen therapy. Lastly, the model is used to optimize an alternating treatment protocol that works as well as monotherapy while using less total drug dose.

systems biology↗

bioRxiv2022

SOGO-SOFI, light-modulated super-resolution optical fluctuation imaging using only 20 raw frames for high-fidelity reconstruction

Taking advantage of the stochastic photoswitching of genetically encodable reversibly photoswitchable fluorescent proteins (RSFPs), super-resolution optical fluctuation imaging (SOFI) and its variant photochromic stochastic optical fluctuation imaging (pcSOFI) are valuable tools for wide field super- resolution (SR) imaging. Live-cell (pc)SOFI, which requires a small number of original frames to reconstruct an SR image, is prone to structural discontinuity artifacts and low spatial resolution. Herein, we developed a repeated synchronized on- and gradually off-switching SOFI (SOGO-SOFI) that maximized the photoswitching frequency of RSFPs by light modulation and required only 20 frames for high-quality reconstruction. Live-cell SOGO-SOFI imaging of the endoplasmic reticulum (ER) exhibited 10 times higher temporal resolution (100 fps) and fewer artifacts than pcSOFI. Moreover, a combination of SOGO-SOFI with Airyscan further increased the image contrast and the resolution of Airyscan by a factor of 1.5 from 140 nm to 91 nm. The capabilities of SOGO-SOFI were further demonstrated by dual- color imaging of nucleolar proteins in mammalian cells and deep imaging of ER structures in thick brain slices (20.6 {micro}m).

biophysics↗

bioRxiv2022

Investigating Predictive Coding in Younger and Older Children Using MEG and a Multi-Feature Auditory Oddball Paradigm

There is mounting evidence for predictive coding theory from computational, neuroimaging, and psychological research. However there remains a lack of research exploring how predictive brain function develops across childhood. To address this gap, we used paediatric magnetoencephalography (MEG) to record the evoked magnetic fields of 18 younger children (M = 4.1 years) and 19 older children (M = 6.2 years) as they listened to a 12-minute auditory oddball paradigm. For each child, we computed a mismatch field MMF: an electrophysiological component that is widely interpreted as a neural signature of predictive coding. Consistent with our hypotheses, the older children showed significantly larger MMF amplitudes relative to the younger children. Furthermore, the older children showed a significantly larger MMF amplitude in the right inferior frontal gyrus (IFG; 0.312 to 0.33 s) relative to the younger children, p < .05. These findings support the idea that predictive brain function develops during childhood, with increasing involvement of the frontal cortex in response to prediction errors. These findings contribute to a deeper understanding of the brain function underpinning child cognitive development. HighlightsO_LIThis is the first paediatric MEG study to examine the sources underlying the MMF. C_LIO_LIOlder children showed larger MMF amplitudes in the right inferior frontal gyrus. C_LIO_LIResults support the idea that predictive brain function develops during childhood. C_LI

neuroscience↗

bioRxiv2022

ZmEREB57 regulates OPDA synthesis and enhances salt stress tolerance through two distinct signal pathways in Zea mays

In plants, APETALA2/Ethylene-Responsive Factor (AP2/ERF)-domain transcription factors play important roles in regulating responses to biotic and abiotic types of stress. In this study, a novel AP2/ERF gene in maize, ethylene responsive element binding factor 57 (ZmEREB57), was identified by comparative transcriptomics, which was significantly upregulated under salt treatment; however, its function remained unclear. Our findings revealed that ZmEREB57 is a nuclear protein with transactivation activity, induced by a number of abiotic types of stress. Whats more, two CRISPR/Cas9 knockout lines of ZmEREB57 conferred sensitivity to saline conditions. DNA affinity purification sequencing (DAP-Seq) analysis revealed that ZmEREB57 mainly binds to promoters containing the O-box like motif (CCGGCC) to regulate the expression of its target genes. Further experiments validated that ZmEREB57 directly bind to the promoter of ZmAOC2 involved in the synthesis of 12-oxo-phytodienoic acid (OPDA) and JA. Besides, transcriptome analysis identified a number of genes responded to both OPDA and JA treatment, while a different set of genes specifically responded specifically to OPDA, but not JA. Analysis of mutants deficient in the biosynthesis of OPDA and JA revealed that OPDA functions as a signaling molecule in the salt response. Our results provide evidence for ZmEREB57s involvement in salt tolerance by regulating OPDA and JA signaling, and confirm early observations that OPDA signaling can function independently of JA signaling in maize.

plant biology↗

bioRxiv2022

Regulation of urea cycle by reversible high stoichiometry lysine succinylation

The post-translational modification, lysine succinylation is implicated in the regulation of various metabolic pathways. However, its biological relevance remains uncertain due to methodological difficulties in determining high-impact succinylation sites. In the present study, using stable isotope labeling and data-independent acquisition mass spectrometry, we quantified lysine succinylation stoichiometries in mouse livers. Despite the low overall stoichiometry of lysine succinylation, several high stoichiometry sites were identified, especially upon deletion of the desuccinylase SIRT5. In particular, multiple high stoichiometry lysine sites identified in argininosuccinate synthase (ASS1), a key enzyme in urea cycle, are regulated by SIRT5. Mutation of the high stoichiometry lysine in ASS1 to succinyl-mimetic glutamic acid significantly decreased its enzymatic activity. Metabolomics profiling confirms that SIRT5 deficiency decreases urea cycle activity in liver. Importantly, SIRT5 deficiency compromises ammonia tolerance and reduces locomotor and exploratory activity in male mice upon high-ammonium diet feeding. Therefore, lysine succinylation is functionally important in ammonia metabolism.

molecular biology↗

bioRxiv2022

Meta-Analyzed Atopic Dermatitis Transcriptome (MAADT) defines a strong correlation to disease activity and consistent to therapeutic effect

BackgroundAtopic Dermatitis (AD) is a persistent inflammatory disease of the skin to which a few novel treatment options have recently become available. Multiple published datasets, from RNA sequencing (RNA-seq) and microarray experiments performed on lesional (LS) and non-lesional (NL) skin biopsies collected from AD patients, provide a useful resource to better define an AD gene signature and evaluate therapeutic effects. MethodsWe evaluated 22 datasets using defined selection criteria and leave-one-out analysis and then carried out a meta-analysis (M-A) to combine 4 RNA-seq datasets and 5 microarray datasets to define a disease gene signature for AD skin tissue. We used this gene signature to evaluate its correlation to disease activity in published AD datasets, as well as the treatment effect of some of the existing and experimental therapies. ResultsWe report the AD gene signatures developed separately from the RNA-seq or the microarray datasets, as well as a gene signature from datasets combined across these two technologies; all 3 gene signatures showed a strong correlation to the disease activity score (SCORAD) - microarray: Pearsons{rho} = 0.651, p-value < 0.01, RNA-seq:{rho} = 0.640, p-value < 0.01, combined:{rho} = 0.649, p-value < 0.01. The gene signature improvement (GSI) of two existing effective therapies, Dupilumab and Cyclosporine, as well as that of other experimental treatments, is consistent with their reported cohort level efficacy from the associated clinical trials. ConclusionsThe M-A derived AD gene signature provides an evolution of an important resource to correlate gene expression to disease activity and will be helpful for evaluating potential treatment effects for novel therapies.

bioinformatics↗

bioRxiv2022

ISG15 Monomer Promotes IFNα-mediated Antiviral Activity against Pseudorabies Virus by Facilitating phosphorylation of STAT1/STAT2

Pseudorabies virus (PRV), which presently lacks both an antiviral drug and a viable therapeutic option, is a major viral pathogen that poses a danger to the pig industry worldwide. Interferon-stimulated gene 15 (ISG15) is strongly upregulated during viral infections and has been reported to have proviral or antiviral properties, depending on the virus and host species. Our previous studies demonstrated ISG15 was remarkably upregulated during PRV infection, and the overexpression of ISG15 inhibited PRV replication. Nevertheless, the exact mechanism through which ISG15 influences PRV replication poorly understood unclear. Here, we demonstrate that ISG15 accumulation induced by PRV infection requires viral gene expression and viral growth. Conjugation inhibition assays showed that ISG15 imposes its antiviral effects via unconjugated (free) ISG15 and affects the viral release. In addition, we found ISG15 promoted IFN-mediated antiviral activity against PRV by facilitating the phosphorylation of STAT1 and STAT2, along with an increase of ISGF3-induced ISRE promoter activity. Furthermore, we evaluated the role of ISG15 in host defense to control PRV infection by using ISG15-/- mice model. When challenged with PRV, ISG15-/- mice exhibited increased morbidity and mortality, as well as viral load compared to WT mice. Pathological examination revealed increased lesions, mononuclear cellular infiltration and neuronal death in the brains of ISG15-/- mice, along with the upregulation of the cytokines. Our findings establish the importance of ISG15 in IFN-induced antiviral response and in the control of PRV infection.

molecular biology↗

bioRxiv2022

Metformin decreases Cyp26a1 to prevent hepatocarcinogenesis through down- regulating CD8+ T cells

Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, which limits the selectivity of prevention and treatment. Preclinical and clinical studies suggested that in patients with diabetes, prolonged use of metformin, the AMPK activator, was associated with a reduction of HCC incidence. This association promotes us to investigate the possible functions and mechanisms of metformin in HCC without diabetes backgrounds. Here, we found that several unique pathways that changed during chronic liver injury of Fah-/- mice, including glucose metabolic process and retinol metabolism. Further, metformin suppressed the tumor formation in chronic liver injury of Fah-/- mice. RNA sequencing, in vivo and in vitro experiments showed that metformin suppressed Cyp26a1 gene expression of hepatocyte. Moreover, the down-regulation of Cyp26a1 leads to the increased level of all-trans-retinoic acid (atRA), which could suppress the tumor formation in our model. On the other hand, flow multicolor analysis showed that the cell number and proportion of cancer promoting (pro-tumor) CD8+ T cells increased significantly during chronic liver injury in Fah-/- mice, and both metformin and atRA treatment could reduce the number and proportion of pro-tumor CD8+ T cells. We also found metformin decreased the Cyp26a1 expression through the AMPK/JNK/c-Jun pathway. In short, the association between the metformin and atRA may explain the commonness of their anti-tumor activities. Our findings highlight the importance of targeting the precancerous microenvironment for the prognosis, prevention and treatment of HCC.

cancer biology↗

bioRxiv2022

Paradoxical activation of SREBP1c and de novo lipogenesis by hepatocyte-selective ACLY depletion in obese mice.

Hepatic steatosis associated with high fat diets, obesity and type 2 diabetes is thought to be the major driver of severe liver inflammation, fibrosis, and cirrhosis. Cytosolic acetyl-coenzyme A (AcCoA), a central metabolite and substrate for de novo lipogenesis (DNL), is produced from citrate by ATP-citrate lyase (ACLY) and from acetate through AcCoA synthase short chain family member 2 (ACSS2). However, the relative contributions of these two enzymes to hepatic AcCoA pools and DNL rates in response to high fat feeding is unknown. We report here that hepatocyte-selective depletion of either ACSS2 or ACLY caused similar 50% decreases in liver AcCoA levels in obese mice, showing that both pathways contribute to generation of this DNL substrate. Unexpectedly however, the hepatocyte ACLY depletion in obese mice paradoxically increased total DNL flux measured by D2O incorporation into palmitate, while in contrast ACSS2 depletion had no effect. The increase in liver DNL upon ACLY depletion was associated with increased expression of nuclear sterol regulatory element-binding protein 1c (SREBP1c) and of its target DNL enzymes. This upregulated DNL enzyme expression explains the increased rate of palmitate synthesis in ACLY depleted livers. Furthermore, this increased flux through DNL may also contribute to the observed depletion of AcCoA levels due to its increased conversion to Malonyl CoA (MalCoA) and palmitate. Together, these data indicate that in HFD fed obese mice, hepatic DNL is not limited by its immediate substrates AcCoA or MalCoA, but rather by activities of DNL enzymes.

molecular biology↗

bioRxiv2022

Identification of a small molecule, Mebendazole, as a novel ethylene signaling activator reveals a role of ethylene signaling on the regulation of lateral root angles

The lateral root angle or gravitropic set-point angle (GSA) is an important trait for root system architecture (RSA) that determines the radial expansion of the root system. The GSA therefore plays a crucial role for the ability of plants to access nutrients and water in the soil. Despite its importance, only few regulatory pathways and mechanisms that determine GSA are known, and these mostly relate to auxin and cytokinin pathways. Here, we report the identification of a small molecule, Mebendazole (MBZ) that modulates GSA in Arabidopsis thaliana roots and acts via the activation of ethylene signaling. We uncover that MBZ directly acts on the serine/threonine protein kinase CTR1, which is a negative regulator of ethylene signaling. Our study not only reveals that the ethylene signaling pathway is essential for GSA regulation, but it also identifies a small molecular modulator of RSA and the first small molecule that acts downstream of ethylene receptors and that directly activates ethylene signaling. In briefHe et al. identify a small molecule that regulates lateral root angle. They show that the compound increases lateral root angle by inhibiting CTR1 kinase activity, which in turn activates ethylene signaling. Therefore, they uncover that the ethylene pathway is involved in lateral root angle regulation. HighlightsO_LIMBZ increases lateral root angle C_LIO_LIMBZ regulates lateral root angle by activating ethylene signaling C_LIO_LIMBZ inhibits CTR1 kinase activity C_LIO_LIThe ethylene pathway is involved in lateral root angle regulation C_LI

plant biology↗

bioRxiv2022

Improved fluorescent proteins for dual-color post-embedding CLEM

Post-embedding correlative light and electron microscopy (CLEM) has the advantage of high-precision registration and enables light and electron microscopy imaging of the same slice. However, its broad application has been hampered by the limited available fluorescent proteins (FPs) and low signal-to-background ratio (SBR). Here, we developed a green photoswitchable FP, mEosEM-E with substantially high on/off contrast in EM samples embedded in Epon resin which maximally preserves cellular structures but quenches the fluorescence of FPs. Taking advantage of the photoswitching property of mEosEM-E, the autofluorescence background from the resin was significantly reduced by a subtraction-based CLEM (sCLEM) method. Meanwhile, we identified a red fluorescent protein (RFP) mScharlet-H that exhibited higher brightness and SBR in resin than previously reported RFPs. With mEosEM-E and mScharlet-H, dual-color post-Epon-embedding CLEM images with high SBR and no cross-talk signal were successfully performed to reveal the organization of nucleolar proteins. Moreover, a dissection of the influences of different EM sample preparation steps on the fluorescence preservation for several RFPs provides useful guidance for further probe development.

biophysics↗

bioRxiv2022

RNA triplex structures revealed by WAXS-driven MD simulations

RNA triple helices are commonly observed tertiary motifs that are increasingly associated with critical biological functions, including signal transduction. Because the recognition of their biological importance is relatively recent, their full range of structures and function has not yet been elucidated. The integration of solution wide-angle X-ray scattering (WAXS) with data-driven molecular dynamics (MD) simulations, described here, provides a new way to capture the structures of major-groove RNA triplexes that evade crystallographic characterization. This method yields excellent agreement between measured and computed WAXS profiles, and allows for an atomically detailed visualization of these motifs. Using correlation maps, the relationship between well-defined features in the scattering profiles and real space characteristics of RNA molecules is easily defined, including the subtle conformational variations in the double-stranded RNA upon the incorporation of a third strand by base-triples. This readily applicable approach provides unique insight into some of the interactions that stabilize RNA tertiary structure and enable function.

biophysics↗

bioRxiv2022

Three amphioxus reference genomes reveal gene and chromosome evolution of chordates

The slow-evolving invertebrate amphioxus has an irreplaceable role in advancing our understanding into the vertebrate origin and innovations. Here we resolve the nearly complete chromosomal genomes of three amphioxus species, one of which best recapitulates the 17 chordate ancestor linkage groups. We reconstruct the fusions, retention or rearrangements between descendants of whole genome duplications (WGDs), which gave rise to the extant microchromosomes likely existed in the vertebrate ancestor. Similar to vertebrates, the amphioxus genome gradually establishes its 3D chromatin architecture at the onset of zygotic activation, and forms two topologically associated domains at the Hox gene cluster. We find that all three amphioxus species have ZW sex chromosomes with little sequence differentiation, and their putative sex-determining regions are nonhomologous to each other. Our results illuminate the unappreciated interspecific diversity and developmental dynamics of amphioxus genomes, and provide high-quality references for understanding the mechanisms of chordate functional genome evolution.

evolutionary biology↗

bioRxiv2021

Multi-omics Analyses Provides Insight into the Biosynthesis Pathways of Fucoxanthin in Isochrysis galbana

Isochrysis galbana is considered an ideal bait for functional foods and nutraceuticals in humans because of its high fucoxanthin (Fx) content. However, multi-omics analysis of the regulation networks for Fx biosynthesis in I. galbana has not been reported. In this study, we report a high-quality genome sequence of I. galbana LG007, which has a 92.73 Mb genome size, with a contig N50 of 6.99 Mb and 14,900 protein-coding genes. Phylogenomic inferences confirmed the monophyly of Haptophyta, with I. galbana sister to Emiliania huxleyi and Chrysochromulina tobinii. Evolutionary analysis revealed an estimated divergence time between I. galbana and E. huxleyi of ~ 133 million years ago (Mya). Gene family analysis indicated that lipid metabolism-related genes exhibited significant expansion, including IgPLMT, IgOAR1 and {Delta}-4 desaturase. Metabolome analysis showed that the content of carotenoid in I. galbana cultured under green light for 7 days was higher than that of white light, and {beta}-carotene was the main carotenoids, accounting for 79.09% of the total carotenoids. Comprehensive analysis of multi-omics analysis revealed that {beta}-carotene, antheraxanthin, zeaxanthin, and Fx content was increased by green light induction, which was significantly correlated with the expression of IgMYB98, IgZDS, IgPDS, IgLHCX2, IgZEP, IgLCYb, and IgNSY. These findings contribute to understanding Fx biosynthesis and its regulation, providing a valuable reference for food and pharmaceutical applications.

bioinformatics↗

bioRxiv2021

Genomic variation in the tea leafhopper reveals the basis of adaptive evolution

The tea green leafhopper (TGL), Empoasca onukii, is of biological and economic interest. Despite numerous studies, the mechanisms underlying its adaptation and evolution remain enigmatic. Here, we used previously untapped genome and population genetics approaches to examine how this pest so rapidly has adapted to different environmental variables and thus has expanded geographically. We complete a chromosome-level assembly and annotation of the E. onukii genome, showing notable expansions of gene families associated with adaptation to chemoreception and detoxification. Genomic signals indicating balancing selection highlight metabolic pathways involved in adaptation to a wide range of tea varieties grown across ecologically diverse regions. Patterns of genetic variation among 54 E. onukii samples unveil the population structure and evolutionary history across different tea-growing regions in China. Our results demonstrate that the genomic change in key pathways, including those linked to metabolism, circadian rhythms and immune system function, may underlie the successful spread and adaptation of E. onukii. This work highlights the genetic and molecular bases underlying the evolutionary success of a species with broad economic impact, and provides insight into insect adaptation to host plants, which will ultimately facilitate more sustainable pest management.

genomics↗

bioRxiv2021

Ligand-induced transmembrane conformational coupling in monomeric EGFR

Single pass cell surface receptors regulate cellular processes by transmitting ligand-encoded signals across the plasma membrane via changes to their extracellular and intracellular conformations. While receptor-receptor interactions are established as key aspects of transmembrane signaling, the contribution from the single helix of a monomeric receptor has been challenging to isolate due to the complexity and ligand-dependence of the receptor-receptor interactions. By combining membrane nanodiscs produced wtih cell-free expression, single-molecule Forster Resonance Energy Transfer measurements, and molecular dynamics simulations, we report that ligand binding induces intracellular conformational changes within monomeric, full-length epidermal growth factor receptor (EGFR). Our observations establish the existence of extracellular/intracellular conformational coupling within a single receptor molecule. We implicate a series of electrostatic interactions in the conformational coupling and find the coupling is inhibited by targeted therapeutics and mutations that also inhibit phosphorylation in cells. Collectively, these results introduce a facile mechanism to link the extracellular and intracellular regions through the single transmembrane helix of monomeric EGFR, and raise the possibility that intramolecular transmembrane conformational changes are common to single-pass membrane proteins.

biophysics↗

bioRxiv2021

Reference genomes of 545 silkworms enable high-throughput exploring genotype-phenotype relationships

The silkworm Bombyx mori is a domestic insect for silk production and a lepidopteran model. The currently available genomes limit a full understanding of its genetic and phenotypic diversity. Here we assembled long-read genomes of 545 domestic and wild silkworms and constructed a high-resolution pan-genome dataset. We found that the silkworm population harbors extremely variable genomes containing 7,308 new gene families, 4,260 (22%) core gene families, and 3,432,266 non-redundant SVs. We deciphered a series of causal genes and variants associated with domestication, breeding, and ecological adaptation traits, and experimentally validated two of those genes using CRISPR-Cas9 or RNA interference. This unprecedented large-scale genomic resource allows for high-throughput screening of interesting traits for functional genomic research and breeding improvement of silkworms and may serve as a guideline for traits decoding in other species.

genomics↗

bioRxiv2021

Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity

The specificity of CRISPR/Cas9 genome editing is largely determined by the sequences of guide RNA (gRNA) and the targeted DNA, yet the sequence-dependent rules underlying off-target effects are not fully understood. Here we systematically investigated the sequence determinants governing CRISPR/Cas9 specificity by measuring the off-on ratios of 1,902 gRNAs on 13,314 target sequences using an improved synthetic system with dual-target design. Our study revealed a comprehensive set of rules including 3 factors in CRISPR/Cas9 off-targeting: 1) the nucleotide context and position of a single mismatch; 2) an "epistasis-like" combinatorial effect of multiple mismatches; and 3) a guide-intrinsic mismatch tolerance (GMT) independent of the mismatch context. Notably, the combinatorial effect and GMT are associated with the free-energy landscape in R-loop formation and are explainable by a multi-state kinetic model. Based on these rules, we developed a model-based off-target prediction tool (MOFF), which showed superior performance compared to the existing methods.

systems biology↗