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Yu, M.

Publications and source records attributed to Yu, M..

At least 73 records · Page 4Linked to original sources

Meta-awareness, mind-wandering, and the control of 'default' external and internal orientations of attention

The "default mode" of cognition refers to the tendency to simulate internal experiences, rather than attending to external events in the moment. But in some contexts, external focus can become captivating enough to act as the default mode. To explore the relationship between prepotent internal and external default modes, we measured brain activity in forty participants using fMRI. Naturalistic movie clips were viewed, each one four times in sequence. When subjects were asked to focus attention on the videos, more mind-wandering events (distractions from the externally-focused task) occurred as the videos became less interesting with each repetition, and also when less engaging videos were presented. When subjects were asked to focus internally on breathing, more mind-wandering events (distractions from the internally-focused task) occurred when videos were most interesting (on the first repetition) and when more engaging videos were presented. In the fMRI data, inter-subject correlation, within-subject correlation, and GLM analyses found similar fronto-parietal networks engaged in transitions between default-controlled states regardless of the internal-external distinction, indicating more overlap in internal-external processing than previously assumed. We suggest that whether the default state is internal or external, and whether the sources that disrupt it are internal or external, depend on context.

neuroscience↗

A genetically engineered therapeutic lectin inhibits human influenza A virus infection and sustains robust virus-specific CD8 T cell expansion

Native banana lectin (BanLec) is antiviral but highly mitogenic, which limits its therapeutic value. In contrast, the genetically engineered H84T BanLec (H84T) is not mitogenic but remains effective against influenza A virus (IAV) infection in mouse models. However, the potency and effect of H84T on human immune cells and IAV-specific immune responses is undetermined. We found that H84T efficiently inhibited IAV replication in human dendritic cells (DCs) from blood and tonsils, which preserved DC viability and allowed acquisition and presentation of viral antigen. Consequently, H84T-treated DCs initiated effective expansion of IAV-specific CD8 T cells. Furthermore, H84T preserved the capacity of IAV-exposed DCs to present a second non-IAV antigen and induce robust CD8 T cell expansion. This supports H84T as a potent antiviral in humans as it effectively inhibits IAV infection without disrupting DC function, and preserves induction of antigen-specific adaptive immune responses against diverse antigens, which likely is clinically beneficial.

immunology↗

Loss function of tumor suppressor FRMD8 confers resistance to tamoxifen therapy via a dual mechanism

Approximately 40% ER-positive breast cancer patients suffer from therapeutic resistance to tamoxifen. Although reduced ER level is the major cause of tamoxifen resistance, the underlying mechanisms remain elusive. Here, we report that FRMD8 raises the level of ER at both transcriptional and post-translational layers. FRMD8 deficiency in MMTV-Cre+; Frmd8fl/fl; PyMT mice accelerates mammary tumor growth and loss of luminal phenotype, and confers tamoxifen resistance. Single-cell RNA profiling reveals that Frmd8 loss decreases the proportion of hormone-sensing differentiated epithelial cells and downregulates the levels of ER. Mechanically, on one hand, loss of FRMD8 inhibits ESR1 transcription via suppressing the expression of FOXO3A, a transcription factor of ESR1. On the other hand, FRMD8 interacts both with ER and UBE3A, and disrupts the interaction of UBE3A with ER, thereby blocking UBE3A-mediated ER degradation. In breast cancer patients, FRMD8 gene promoter is found hypermethylated and low level of FRMD8 predicts poor prognosis. Therefore, FRMD8 is an important regulator of ER and may control therapeutic sensitivity to tamoxifen in ER-positive breast cancer patients. Impact StatementTumor suppressive protein FRMD8 inhibits breast cancer progression by regulating the level of ER and has the possibility to be a potential target for overcoming tamoxifen treatment resistance.

cancer biology↗

Human ANP32A/B are SUMOylated and utilized by avian influenza virus NS2 protein to overcome species-specific restriction

Human ANP32A/B (huANP32A/B) poorly support the polymerase activity of avian influenza viruses (AIVs), thereby limiting interspecies transmission of AIVs from birds to humans. The SUMO-interacting motif (SIM) within NS2 promotes the adaptation of AIV polymerase to huANP32A/B via a yet undisclosed mechanism. Here we show that huANP32A/B are SUMOylated by the E3 SUMO ligase PIAS2, and deSUMOylated by SENP1. SUMO modification of huANP32A/B results in the recruitment of NS2, thereby facilitating huANP32A/B-supported AIV polymerase activity. Such a SUMO-dependent recruitment of NS2 is mediated by its association with huANP32A/B via the SIM-SUMO interaction module, where K68/K153-SUMO in huANP32A or K68/K116-SUMO in huANP32B interacts with the NS2-SIM. The SIM-SUMO interactions between huANP32A/B and NS2 function to promote AIV polymerase activity by positively regulating AIV vRNP-huANP32A/B interactions and AIV vRNP assembly. Our study offers insights into the mechanism of NS2 SIM in facilitating AIVs adaptation to mammals.

microbiology↗

Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions of sporadic early-onset Alzheimer's disease

Sporadic early-onset Alzheimers disease (sEOAD) represents a significant but less-studied subtype of Alzheimers disease (AD). Here, we generated a single-nucleus multiome atlas derived from the postmortem prefrontal cortex, entorhinal cortex, and hippocampus of nine individuals with or without sEOAD. Comprehensive analyses were conducted to delineate cell type-specific transcriptomic changes and linked candidate cis-regulatory elements (cCREs) across brain regions. We prioritized seven conservative transcription factors in glial cells in multiple brain regions, including RFX4 in astrocytes and IKZF1 in microglia, which are implicated in regulating sEOAD-associated genes. Moreover, we identified the top 25 altered intercellular signaling between glial cells and neurons, highlighting their regulatory potential on gene expression in receiver cells. We reported 38 cCREs linked to sEOAD-associated genes overlapped with late-onset AD risk loci, and sEOAD cCREs enriched in neuropsychiatric disorder risk loci. This atlas helps dissect transcriptional and chromatin dynamics in sEOAD, providing a key resource for AD research.

neuroscience↗

Deep learning of protein energy landscape and conformational dynamics from experimental structures in PDB

Protein structure prediction has reached revolutionary levels of accuracy on single structures, implying biophysical energy function can be learned from known protein structures. However apart from single static structure, conformational distributions and dynamics often control protein biological functions. In this work, we tested a hypothesis that protein energy landscape and conformational dynamics can be learned from experimental structures in PDB and coevolution data. Towards this goal, we develop DeepConformer, a diffusion generative model for sampling protein conformation distributions from a given amino acid sequence. Despite the lack of molecular dynamics (MD) simulation data in training process, DeepConformer captured conformational flexibility and dynamics (RMSF and covariance matrix correlation) similar to MD simulation and reproduced experimentally observed conformational variations. Our study demonstrated that DeepConformer learned energy landscape can be used to efficiently explore protein conformational distribution and dynamics.

biophysics↗

Nuclear receptor E75/NR1D2 drives tumor malignant transformation by integrating Hippo and Notch pathways

Hormone therapy resistance and the ensuing aggressive progression of tumors present a significant clinical challenge. However, the mechanisms underlying the induction of tumor malignancy by hormone inhibition remain poorly understood. Here we show that Drosophila malignant epithelial tumors exhibit a comparable decrease in ecdysone signaling, the primary steroid hormone pathway in Drosophila. Furthermore, we find that ectopic expression of the nuclear receptor E75 partially mimics ecdysone signaling inhibition, specifically promoting the malignant transformation of benign tumors by integrating the Hippo and Notch signaling pathways. Genome-wide DNA binding profiles and biochemistry data reveal that E75 not only physically interacts with the transcription factors of both Hippo and Notch pathways, but also exhibits widespread co-binding to their target genes, thus contributing to tumor malignancy. Moreover, we validate these findings by demonstrating that depletion of NR1D2, the mammalian equivalent of E75, inhibits the activation of Hippo and Notch target genes, impeding glioblastoma progression in vivo. In summary, our study unveils a previously unrecognized mechanism by which hormone inhibition promotes tumor malignant transformation, while providing a conserved mechanistic understanding of how Hippo and Notch pathways are integrated by the oncogene E75/NR1D2 during tumor progression.

cancer biology↗

IDH1 regulates human erythropoiesis by eliciting chromatin state reprogramming in a metabolic enzyme independent manner

Isocitrate dehydrogenase 1 (IDH1) is the key enzyme that was involved in the modulation of cellular metabolism, epigenetic modification and redox states homeostasis. Gain-of-function mutations and decreased expression of IDH1 have been demonstrated to be tightly associated with the pathogenesis of various myeloid malignancies characterized by ineffective erythropoiesis, such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, the function and mechanism of IDH1 in human erythropoiesis still remains to be further explored. Here, utilizing the human erythropoiesis system, we present an evidence of IDH1-mediated chromatin state reprogramming besides its well-characterized metabolism effects. We showed that knockdown of IDH1 induced chromatin reorganization and subsequently led to abnormalities of various key biological events in erythroid precursors, which could not be rescued by addition of reactive oxygen species (ROS) scavengers or supplementation of -ketoglutarate (-KG). We further revealed that deficiency of IDH1 induces genome-wide changes in distribution and intensity of multiple histone marks, among which H3K79me3 was identified as a critical factor in chromatin state reprogramming. Integrated analysis of ChIP-seq, ATAC-seq and RNA-seq recognized that SIRT1 was the key gene affected by IDH1 deficiency. Thus, our current work provided novel insights for further clarifying fundamental biological function of IDH1 which has substantial implications for an in-depth understanding of pathogenesis of diseases with IDH1 dysfunction and accordingly development of therapeutic strategies. Key PointsO_LIIDH1 deficiency impaired terminal erythropoiesis; C_LIO_LIIDH1 deficiency leads to chromatin states reprogramming by causing aberrant accumulation and genome-wide re-distribution of H3K79me3; C_LIO_LIDyserythropoiesis is caused by upregulation of SIRT1 induced by H3K79me3 accumulation. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/599556v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@328986org.highwire.dtl.DTLVardef@1e2e8a0org.highwire.dtl.DTLVardef@166885org.highwire.dtl.DTLVardef@1283261_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

H2A.Z deposition at meiotic prophase I underlies homologous recombination and pachytene genome activation during male meiosis

Accurate meiotic progression is important for gamete formation and the generation of genetic diversity. However, little is known about the identity of chromatin regulators that underlie mammalian meiosis in vivo. Here, we identify the multifaceted functions of the chromatin remodeler ZNHIT1 in governing meiosis. The expression of Znhit1 gradually increases during the meiotic prophase, and Znhit1 knockout in spermatocytes results in arrested pachytene development, impaired DNA double-strand break repair, and defective homologous recombination. Single-cell RNA sequencing and transcriptome analysis reveal that Znhit1 loss dysregulates meiotic transcriptional programs at the pachytene stage. Chromatin immunoprecipitation data show that ZNHIT1 is needed for the incorporation of the histone variant H2A.Z into pachytene chromatin. Moreover, we found that H2A.Z cooperates with the transcription factor A-MYB to co-bind DNA elements and control gene activity. Our findings provide insights into the regulatory mechanisms governing meiotic progression and highlight ZNHIT1 as a critical regulator of meiotic progression.

developmental biology↗

Dynamic changes in mitochondria support phenotypic flexibility of microglia

Microglial capacity to adapt to tissue needs is a hallmark feature of these cells. New studies show that mitochondria critically regulate the phenotypic adaptability of macrophages. To determine whether these organelles play similar roles in shaping microglial phenotype, we generated transgenic crosses to accurately visualize and manipulate microglial mitochondria. We find that brain-region differences in microglial attributes and responses to aging are accompanied by regional differences in mitochondrial mass and aging-associated mitochondrial remodeling. Microglial mitochondria are also altered within hours of LPS injections and microglial expression of inflammation-, trophic-, and phagocytosis-relevant genes is strongly correlated with expression levels of mitochondria-relevant genes. Finally, direct genetic manipulation of microglial mitochondria alters microglial morphology and leads to brain-region specific effects on microglial gene expression. Overall, this study advances our understanding of microglial mitochondria and supports the idea that mitochondria influence basal microglia phenotype and phenotypic remodeling that takes place over hours to months.

neuroscience↗

5-HT Neurons Integrate GABA and Dopamine Inputs to Regulate Meal Initiation

Obesity is a growing global health epidemic with limited effective therapeutics. Serotonin (5-HT) is one major neurotransmitter which remains an excellent target for new weight-loss therapies, but there remains a gap in knowledge on the mechanisms involved in 5-HT produced in the dorsal Raphe nucleus (DRN) and its involvement in meal initiation. Using a closed-loop optogenetic feeding paradigm, we showed that the 5-HTDRN{lozenge}arcuate nucleus (ARH) circuit plays an important role in regulating meal initiation. Incorporating electrophysiology and ChannelRhodopsin-2-Assisted Circuit Mapping, we demonstrated that 5-HTDRN neurons receive inhibitory input partially from GABAergic neurons in the DRN, and the 5-HT response to GABAergic inputs can be enhanced by hunger. Additionally, deletion of the GABAA receptor subunit in 5-HT neurons inhibits meal initiation with no effect on the satiation process. Finally, we identified the instrumental role of dopaminergic inputs via dopamine receptor D2 in 5-HTDRN neurons in enhancing the response to GABA-induced feeding. Thus, our results indicate that 5-HTDRN neurons are inhibited by synergistic inhibitory actions of GABA and dopamine, which allows for the initiation of a meal.

neuroscience↗

Enhancement of spatial learning by 40 Hz visual stimulation requires parvalbumin interneuron-dependent hippocampal neurogenesis

Acute and short-term rhythmic 40 Hz light flicker stimulation has shown promising results in alleviating cognitive impairments in mouse models of Alzheimers disease (AD), stroke, and autism spectrum disorders (ASD). Understanding the long-term impacts and underlying mechanisms is crucial to progress this approach for potential human therapeutic applications. Here, we show that prolonged exposure to 40 Hz light flicker (1 hour per day for 30 days) significantly improved spatial learning and neurogenesis in the dentate gyrus (DG) without harmful behavioral side effects. Mice with transgenic deletion of doublecortin-positive cells (DCXDTR) in the adult hippocampus failed to exhibit enhanced neurogenesis and spatial learning with 40 Hz stimulation. Inactivation or knockout of GABAergic parvalbumin (PV) interneurons reduced the effects of 40 Hz entrainment and neurogenesis enhancement. Mechanistically, the stimulation did not alter the regional microvessel blood flow but significantly raised PV excitability and GABA levels and enhanced inhibitory transmission in the DG. Blocking GABAA receptors reversed the improvements in spatial learning and neurogenesis. These data showed that long-term exposure to 40 Hz light flicker enhances spatial learning through PV-dependent adult neurogenesis, which requires elevated GABA as a critical neurochemical mechanism for sustaining adult neurogenesis. In briefRhythmic 40 Hz light flicker alleviates cognitive impairments in diverse animal models of neurological diseases. Understanding its long-term effects and mechanisms is vital for advancing its therapeutic potential for humans. Here, we show that prolonged exposure to this flicker improves spatial learning and boosts adult neurogenesis in the dentate gyrus. Activation of PV interneurons and GABAergic support for the newborn immature neurons underlie this effect, demonstrating lasting benefits for the treatment of neurological diseases. HighlightsO_LILong-term exposure to 40 Hz light flicker significantly improved spatial learning and neurogenesis in the hippocampus, devoid of adverse effects. C_LIO_LIThe 40 Hz light flicker evoked adult neurogenesis requires the activity of GABAergic inhibitory PV interneurons. C_LIO_LIThe 40 Hz light flicker raised GABA levels and enhanced inhibitory transmission in the DG. C_LIO_LIIncreased GABA serves as a vital neurochemical mechanism to support adult neurogenesis. C_LI

neuroscience↗

Network medicine informed multi-omics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral Sclerosis

Amyotrophic Lateral Sclerosis (ALS) is a devastating, immensely complex neurodegenerative disease by lack of effective treatments. To date, the challenge to establishing effective treatment for ALS remains formidable, partly due to inadequate translation of existing human genetic findings into actionable ALS-specific pathobiology for subsequent therapeutic development. This study evaluates the feasibility of network medicine methodology via integrating human brain-specific multi-omics data to prioritize drug targets and repurposable treatments for ALS. Using human brain-specific genome-wide quantitative trait loci (x-QTLs) under a network-based deep learning framework, we identified 105 putative ALS-associated genes enriched in various known ALS pathobiological pathways, including regulation of T cell activation, monocyte differentiation, and lymphocyte proliferation. Specifically, we leveraged non-coding ALS loci effects from genome-wide associated studies (GWAS) on brain-specific expression quantitative trait loci (QTL) (eQTL), protein QTLs (pQTL), splicing QTL (sQTL), methylation QTL (meQTL), and histone acetylation QTL (haQTL). Applying network proximity analysis of predicted ALS-associated gene-coding targets and existing drug-target networks under the human protein-protein interactome (PPI) model, we identified a set of potential repurposable drugs (including Diazoxide, Gefitinib, Paliperidone, and Dimethyltryptamine) for ALS. Subsequent validation established preclinical and clinical evidence for top-prioritized repurposable drugs. In summary, we presented a network-based multi-omics framework to identify potential drug targets and repurposable treatments for ALS and other neurodegenerative disease if broadly applied.

systems biology↗

Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes

Precision of transcription is critical because transcriptional dysregulation is disease causing. Traditional methods of transcriptional profiling are inadequate to elucidate the full spectrum of the transcriptome, particularly for longer and less abundant mRNAs. SHANK3 is one of the most common autism causative genes. Twenty-four Shank3 mutant animal lines have been developed for autism modeling. However, their preclinical validity has been questioned due to incomplete Shank3 transcript structure. We applied an integrative approach combining cDNA-capture and long-read sequencing to profile the SHANK3 transcriptome in human and mice. We unexpectedly discovered an extremely complex SHANK3 transcriptome. Specific SHANK3 transcripts were altered in Shank3 mutant mice and postmortem brains tissues from individuals with ASD. The enhanced SHANK3 transcriptome significantly improved the detection rate for potential deleterious variants from genomics studies of neuropsychiatric disorders. Our findings suggest the stochastic transcription of genome associated with SHANK family genes.

genetics↗

DNA-based ForceChrono Probes for Deciphering Single-Molecule Force Dynamics in Living Cells

Accurate measurement of mechanical forces in cells is key to understanding how cells sense and respond to mechanical stimuli, a central aspect of mechanobiology. However, accurately quantifying dynamic forces at the single-molecule level in living cells is a significant challenge. Here, weve developed the DNA-based ForceChrono probe to enable in-depth studies of integrin force dynamics at the single-molecule level in living cells. By illuminating two distinct mechanical points and circumventing the inherent fluctuations of single-molecule fluorescence, the ForceChrono probe enables analysis of the complex dynamics of mechanical forces at the single-molecule level, such as loading rates and durations. Our results refine previous broad estimates of cellular loading rates to a more precise range of 0.5 to 2 pN/s, shedding light on the specifics of cellular mechanics. In addition, this study reveals a critical link between the magnitude and duration of integrin forces, consistent with the catch-bond behavior demonstrated in vitro. The ForceChrono probe has distinct advantages, such as precise analysis of single-molecule force dynamics and robust resistance to fluorescence fluctuations, which will significantly advance our understanding of cell adhesion and mechanotransduction at the single-molecule level.

biophysics↗

Protein-specific crowding accelerates aging in phase-separated droplets

Crowding agents, such as polyethylene glycol (PEG, are often used to mimic the cellular cytoplasm in protein assembly studies. Despite the perception that crowding agents have an inert nature, recent work has shown they are not bystanders while proteins interact. Here, we explore the diverse effects of PEG on the phase separation and maturation of proteins. We use two proteins, the FG domain of Nup98 and bovine serum albumin (BSA), which represent an intrinsically disordered protein and a protein with well-established secondary structure, respectively. PEG expedites the maturation of Nup98, enhancing denser protein packing and fortifying hydrophobic interactions which hasten beta-sheet formation and subsequent droplet gelation. In contrast for BSA, PEG appears to enhance droplet stability and limits available solvent for the protein solubilization, without inducing significant changes to the secondary structure, pointing towards a significantly different behavior of the crowding agent. Interestingly, we detect almost no presence of PEG in Nup droplets whereas PEG is detectable within BSA droplets. Our findings demonstrate a nuanced interplay between crowding agents and proteins. PEG can accelerate protein maturation in LLPS systems but its partitioning and effect on protein structure in droplets is protein specific. This suggests that crowding phenomena are specific to each protein-crowding agent pair.

biophysics↗

The unique function of Runx1 in skeletal muscle differentiation and regeneration is mediated by an ETS interaction domain

The conserved Runt-related (RUNX) transcription factor family are well-known master regulators of developmental and regenerative processes. Runx1 and Runx2 are both expressed in satellite cells (SC) and skeletal myotubes. Conditional deletion of Runx1 in adult SC negatively impacted self-renewal and impaired skeletal muscle maintenance. Runx1- deficient SC retain Runx2 expression but cannot support muscle regeneration in response to injury. To determine the unique molecular functions of Runx1 that cannot be compensated by Runx2 we deleted Runx1 in C2C12 that retain Runx2 expression and established that myoblasts differentiation was blocked in vitro due in part to ectopic expression of Mef2c, a target repressed by Runx1. Structure-function analysis demonstrated that the Ets-interacting MID/EID region of Runx1, absent from Runx2, is critical to regulating myoblasts proliferation, differentiation, and fusion. Analysis of in-house and published ChIP-seq datasets from Runx1 (T-cells, muscle) versus Runx2 (preosteoblasts) dependent tissue identified enrichment for a Ets:Runx composite site in Runx1-dependent tissues. Comparing ATACseq datasets from WT and Runx1KO C2C12 cells showed that the Ets:Runx composite motif was enriched in peaks open exclusively in WT cells compared to peaks unique to Runx1KO cells. Thus, engagement of a set of targets by the RUNX1/ETS complex define the non-redundant functions of Runx1.

developmental biology↗

mzrtsim: Raw Data Simulation for Reproducible Gas/Liquid Chromatography Mass Spectrometry Based Non-targeted Metabolomics Data Analysis

Reproducibility of data analysis is pivotal in the context of non-targeted metabolomics based on mass spectrometry coupled with chromatography. While various algorithms have been proposed for feature or peak extraction, their validation often revolves around a limited set of known compounds or standards. While data simulation is widely used in other omics studies, simulation are focused on the feature level, neglecting uncertainties inherent in the feature or peak extraction process for metabolomics mass spectrometry data. In this technique note, we introduce a R package called mzrtsim to simulate gas/liquid chromatography full scan raw data in the mzML format. Unlike simulations solely based on virtual features, our approach leverages experimental spectral data from the MassBank of North America (MoNA) and the human metabolome database (HMDB). We developed algorithms to simulate chromatographic peaks, accounting for the tailing factor. The results of our study demonstrate the potential of this tool for comparing established metabolomics software (e.g., XCMS, mzMine, and OpenMS) against a ground truth. We found that the investigated software introduced false positive peaks and/or loss compounds with less peaks. They also showed different sensitivity to tailing and leading peaks and we also found setting appropriate intensity cutoffs will not lose information for the following statistical analysis. This R package is free and available online (https://github.com/yufree/mzrtsim). TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/567024v3_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@2861forg.highwire.dtl.DTLVardef@1b36989org.highwire.dtl.DTLVardef@1d5c939org.highwire.dtl.DTLVardef@8ddce6_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗