Biology subjects

Yang, J.

Publications and source records attributed to Yang, J..

At least 685 records · Page 38Linked to original sources

bioRxiv2022

Enhancer Reprogramming in Melanoma Immune Checkpoint Therapy Resistance

Immune checkpoint blockade (ICB) therapy has improved long-term survival for patients with advanced melanoma. However, there is critical need to identify potential biomarkers of response and actionable strategies to improve response rates. Through generation and analysis of 148 chromatin modification maps for 36 melanoma samples from patients treated with anti-PD- 1, we identified significant enrichment of active enhancer states in non-responders at baseline. Analysis of an independent cohort of 20 samples identified a set of 437 enhancers that predicted response to anti-PD-1 therapy (Area Under the Curve of 0.8417). The activated non-responder enhancers marked a group of key regulators of several pathways in melanoma cells (including c- MET, TGF{beta}, EMT and AKT) that are known to mediate resistance to ICB therapy and several checkpoint receptors in T cells. Epigenetic editing experiments implicated involvement of c-MET enhancers in the modulation of immune response. Finally, inhibition of enhancers and repression of these pathways using bromodomain inhibitors along with anti-PD-1 therapy significantly decreased melanoma tumor burden and increased T-cell infiltration. Together, these findings identify a potential enhancer-based biomarker of resistance to anti-PD-1 and suggest enhancer blockade in combination with ICB as a potential strategy to improve responses.

cancer biology↗

bioRxiv2022

Phenotypic and transcriptional features of the Araliaceae species under distinct light environments

Elucidating how the plant species respond to variable light conditions is essential to understand the ecological adaptation to heterogeneous environments. Plant performance and gene regulatory network underpinning the adaptation have been well-documented in sun-grown species. In this study, we surveyed phenotypic and transcriptomic features of four shade-grown and one sun-grown woody species of the family Araliaceae under distinct light conditions. Our phenotypic comparisons demonstrate that the four shade-grown species possess lower light saturation point and higher assimilation ability of the net photosynthetic rate compared to the sun-grown species. In particular, the four shade-grown species maintain similar photosynthesis efficiency in both highlight and lowlight conditions. However, a significantly decreased photosynthesis rate was observed under lowlight condition of the sun-grown species compared to highlight condition. In addition, our leaf anatomical analyses reveal that while all the five species show different anatomical structures under distinct light conditions, the shade-grown species possess lower degree of phenotypic plasticity relative the sun-grown species. Further comparisons of the transcriptome profiling show that all the five species exhibit gene expression divergence among different light conditions. The differentially expressed genes identified in the five species are functionally related to photosynthesis, secondary metabolites and other basic metabolisms. More importantly, differential regulation of the photosynthesis- and photomorphogenesis-related genes are potentially correlated with the phenotypic responses to distinct light conditions of the five species. Our study provides new insights on how the sun- and shade-grown woody species respond to shade and sunlight environments.

ecology↗

bioRxiv2022

Reproductive state switches the valence of male urinary pheromones in female mice

Internal states shape responses to sensory stimuli. Mammalian female reproductive states are understudied considering they are one of the most regular state changes in the animal kingdom. Here we examine female house mouse preferences toward male odors across the reproductive states of estrus and late-stage pregnancy. In house mice, urine scent marks are salient social odors that convey information about the sex and identity of individuals by major urinary proteins (MUPs). Males secrete a sex-specific pheromonal protein called darcin (MUP20). Additionally, genetically diverse mice secrete unique combinations of MUPs used in individual recognition. Prior work has revealed that male odors are powerful social stimuli for female mice, yet we have a limited understanding of how the valence of such odors change across reproductive states. We discovered a valence shift among estrus and pregnant females toward novel male urine, in which estrus females exhibit preference and pregnant females show strong avoidance. This valence switch also occurs toward darcin alone, providing further support for darcin as a strong sexual signal. However, when presented with familiar male urine, the approach-avoidance response disappears, even when additional darcin is added. In contrast, when an existing identity protein (MUP11) is added to familiar male urine the approach-avoidance response is recovered. This indicates that darcin in the absence of other identity information denotes a novel male and that familiar identity information present in male urine is sufficient to modify responses to darcin. Our findings suggest that the sex and identity information encoded by MUPs are likely processed via distinct, and potentially opposing pathways, that modulate responses toward complex social odor blends. Furthermore, we identify a state-modulated shift in decision-making toward social odors and propose a neural circuit model for this flow of information. These data underscore the importance of physiological state and signal context for interpreting the meaning and importance of social odors.

animal behavior and cognition↗

bioRxiv2022

DeepDetect: deep learning of peptide detectability enhanced by peptide digestibility

In tandem mass spectrometry-based proteomics, proteins are digested by specific protease(s) into peptides, but generally only a fraction of theoretical peptides can be detected. To explore the characteristics of proteotypic peptides, we have developed a series of methods for peptide digestibility and detectability prediction, and this is the latest one of them. Specifically, we propose here a bidirectional long short-term memory (BiLSTM)-based algorithm, named DeepDetect, for the prediction of peptide detectability enhanced by peptide digestibility. Compared with existing algorithms, DeepDetect is featured by its improved accuracy of prediction and wide applicability to commonly used proteases covering Trypsin, ArgC, Chymotrypsin, GluC, LysC, AspN, LysN, and LysargiNase. On eleven independent test data sets, DeepDetect achieved AUCs of 0.858~0.957, superior to the state-of-the-art algorithms, AP3 and PepFormer, which either used conventional machine learning methods or disregarded the digestibility feature. As an application, the predicted peptide detectability was utilized to re-rank and validate the peptide-spectrum matches, and showed the potential to promote the sensitivity of peptide identification.

bioinformatics↗

bioRxiv2022

Plasma membrane nanodeformations promote actin polymerisation through CIP4/CDC42 recruitment and regulate type II IFN signaling

In their environment, cells have to cope with mechanical stresses constantly. Among those, nanoscale deformations of plasma membrane induced by substrate nanotopography are now largely accepted as a biophysical stimulus influencing cell behaviour and function. However, the mechanotransduction cascades involved and their precise molecular effects on cellular physiology are still poorly understood. Here, using homemade fluorescent nanostructured cell culture surfaces, we explored the role of Bin/Amphiphysin/Rvs (BAR) domain proteins as mechanosensors of plasma membrane geometry. Our data reveal that distinct subsets of BAR proteins bind to plasma membrane deformations in a membrane curvature radius-dependent manner. Furthermore, we show that membrane curvature promotes the formation of dynamic actin structures mediated by the Rho GTPase CDC42, the F-BAR protein CIP4 and the presence of PI(4,5)P2, independently of clathrin. In addition, these actin-enriched nanodomains can serve as platforms to regulate receptor signaling as they appear to contain Interferon {gamma} receptor (IFN{gamma}-R) and to lead to the partial inhibition of IFN{gamma}-induced Janus-activated tyrosine kinase/signal transducer and activator of transcription (JAK/STAT) signaling.

cell biology↗

bioRxiv2022

Structural principles of B-cell antigen receptor assembly

The B-cell antigen receptor (BCR) is composed of a membrane-bound immunoglobulin (mIg) of class M, D, G, A or E for antigen recognition and a disulfide-linked heterodimer between Ig and Ig{beta} (Ig/{beta}, also known as CD79A and CD79B) that functions as the signalling entity. The organizing principle of BCR assembly remains elusive. Here we report the cryo-electron microscopy structures of the intact IgM class BCR at 8.2 [A] resolution and its Fab-deleted form (IgM BCR{Delta}Fab) at 3.6 [A] resolution. At the ectodomain (ECD), Ig and Ig{beta} position their respective Ig folds roughly in parallel with an approximate 2-fold symmetry, which is distinct from structures of Ig{beta}/{beta} homodimers. Unlike previous predictions, the BCR structure displays an asymmetric arrangement, in which the Ig/{beta} ECD heterodimer mainly uses Ig to associate with C{micro}3-C{micro}4 domains of one heavy chain ({micro}HC) while leaving the other heavy chain ({micro}HC) empty. The transmembrane domain (TMD) helices of the two {micro}HCs also deviate from the 2-fold symmetry of the C{micro}3-C{micro}4 domain dimer and form together with the TMD helices of the Ig/{beta} heterodimer a tight 4-helix bundle. The asymmetry at the TMD helices prevents the recruitment of two Ig/{beta} heterodimers. Surprisingly, the connecting peptides (CPs) between the ECD and TMD are braided together through striking charge complementarity, resulting in intervening of the CP of {micro}HC in between those of Ig and Ig{beta} and crossover of the TMD relative to ECD for the Ig/{beta} heterodimer, to guide the TMD assembly. Interfacial analyses suggest that the IgM BCR structure we present here may represent a general organizational architecture of all BCR classes. Our studies thus provide a structural platform for understanding B-cell signalling and for designing rational therapies against BCR-mediated diseases.

immunology↗

bioRxiv2022

ERStruct: A Python Package for Inferring the Number of Top Principal Components from Whole Genome Sequencing Data

Large-scale multi-ethnic DNA sequencing data is increasingly available owing to decreasing cost of modern sequencing technologies. Inference of the population structure with such sequencing data is fundamentally important. However, the ultra-dimensionality and complicated linkage disequilibrium patterns across the whole genome make it challenging to infer population structure using traditional principal component analysis (PCA) based methods and software. We present the ERStruct Python Package, which enables the inference of population structure using whole-genome sequencing data. By leveraging parallel computing and GPU acceleration, our package achieves significant improvements in the speed of matrix operations for large-scale data. Additionally, our package features adaptive data splitting capabilities to facilitate computation on GPUs with limited memory. Our Python package ERStruct is an efficient and user-friendly tool for estimating the number of top informative PCs that capture population structure from whole genome sequencing data.

bioinformatics↗

bioRxiv2022

Engineering precise adenine base editor with infinitesimal rates of bystander mutations and off-target editing

Adenine base editors (ABEs) catalyze A-to-G transitions showing broad applications, but their bystander mutations and off-target editing effects raise the concerns of safety issues. Through structure-guided engineering, we found ABE8e with an N108Q mutation reduced both adenine and cytosine bystander editing, and introduction of an additional L145T mutation (ABE9), further refined the editing window to 1-2nt with eliminated cytosine editing. Importantly, ABE9 induced very minimal RNA and undetectable Cas9-independent DNA off-target effects, which mainly installed desired single A-to-G conversion in mouse and rat embryos to efficiently generate disease models. Moreover, ABE9 accurately edited A5 position of the protospacer sequence in pathogenic homopolymeric adenosine sites (up to 342.5-fold precision than ABE8e) and was further confirmed through a library of guide RNA-target sequence pairs. Due to the minimized editing window, ABE9 could further broaden the targeting scope for precise correction of pathogenic SNVs when fused to Cas9 variants with expanded PAM compatibility.

bioengineering↗

bioRxiv2022

Conserved and divergent peptide substrate binding properties of bacterial Hsp70

The 70-kDa heat shock protein (Hsp70) interacts with the polypeptide segments of abundant native proteins to fulfill various cellular activities in both stress and normal conditions. However, a non-native linear polypeptide NR (NRLLLTG) is widely used for the study of Hsp70 substrate binding properties, which is too simple to reflect the complex status of Hsp70 substrates in living organisms. To further broaden our knowledge in this area, we screened 2645 polypeptides derived from 78 biologically relevant proteins and identified eight native peptide substrates (named VP1[~]VP8) for bacterial Hsp70 DnaK. Consistent with previous findings, the amino acid distribution in VP1[~]VP8 were enriched in aliphatic and basic residues, and most of their residues were buried in folded proteins as well. Besides, the substrate binding properties for seven polypeptides were largely the same as observed in NR, suggesting their conserved binding mode to DnaK. However, VP5, which contains more percentage of positively charged residues, demonstrates divergent substrate binding properties during in-vitro biochemical studies. Moreover, VP5 efficiently inhibits the refolding activity of DnaK and bacterial viability, implying its potential to be a good lead peptide for antibacterial drug development.

biochemistry↗

bioRxiv2022

Macrophage migrates on alternate non-adhesive surfaces

Macrophages migrate across tissues upon immune demand, but their motility on heterogeneous substrates remains unclear. Protein-repelling reagents, e.g., poly(ethylene) glycol (PEG), are routinely employed to resist cell adhering and migrating. Contrary to this perception, we discovered a unique locomotion of macrophages in vitro that they overcome non-adhesive PEG gaps to reach adhesive regions in a mesenchymal mode. Adhesion to adhesive regions was a prerequisite for macrophages to perform further locomotion on the PEG regions, or else they kept a suspended round shape. Podosomes were found highly enriched on the PEG region, which supported macrophage migration. Myosin IIA played a negative role in macrophage motility. Moreover, a developed cellular Potts model reproduced the experimental observations. These findings uncovered a new migratory behavior on non-adhesive surfaces in macrophages. One-Sentence SummaryMacrophages can migrate across non-adhesive surfaces that are absolute boundaries for other cell types.

cell biology↗

bioRxiv2022

Spike-specific CXCR3+ TFH cells play a dominant functional role in supporting antibody responses in SARS-CoV-2 infection and vaccination

CD4+ T follicular helper (TFH) cells are required for high-quality antibody generation and maintenance. However, the longevity and functional role of these cells are poorly defined in COVID-19 convalescents and vaccine recipients. Here, we longitudinally investigated the dynamics and functional roles of spike-specific circulating TFH cells and their subsets in convalescents at the 2nd, 5th, 8th, 12th and 24th months after COVID-19 symptom onset and in vaccinees after two and three doses of inactivated vaccine. SARS-CoV-2 infection elicited robust spike-specific TFH cell and antibody responses, of which spike-specific CXCR3+ TFH cells but not spike-specific CXCR3- TFH cells and neutralizing antibodies were persistent for at least two years in more than 80% of convalescents who experienced symptomatic COVID-19, which was well coordinated between spike-specific TFH cell and antibody responses at the 5th month after infection. Inactivated vaccine immunization also induced spike-specific TFH cell and antibody responses; however, these responses rapidly declined after six months with a two-dose standard administration, and a third dose significantly promoted antibody maturation and potency. Functionally, spike-specific CXCR3+ TFH cells exhibited better responsiveness than spike-specific CXCR3- TFH cells upon spike protein stimulation in vitro and showed superior capacity in supporting spike-specific antibody secreting cell (ASC) differentiation and antibody production than spike-specific CXCR3- TFH cells cocultured with autologous memory B cells. In conclusion, spike-specific CXCR3+ TFH cells played a dominant functional role in antibody elicitation and maintenance in SARS-CoV-2 infection and vaccination, suggesting that induction of CXCR3-biased spike-specific TFH cell differentiation will benefit SARS-CoV-2 vaccine development aiming to induce long-term protective immune memory. HighlightsO_LISARS-CoV-2 infection elicited robust spike-specific TFH cell and antibody responses, which persisted for at least two years in the majority of symptomatic COVID-19 convalescent patients. C_LIO_LIInactivated vaccine immunization also elicited spike-specific TFH cell and antibody responses, which rapidly declined over time, and a third dose significantly promoted antibody maturation and potency. C_LIO_LISpike-specific CXCR3+ TFH cells exhibited more durable responses than spike-specific CXCR3- TFH cells, correlated with antibody responses and showed superior capacity in supporting ASC differentiation and antibody production than spike-specific CXCR3- TFH cells. C_LI

immunology↗

bioRxiv2022

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize

Understanding the genetic basis responding to nitrogen (N) fertilization in crop production is a long-standing research topic in plant breeding and genetics. Albeit years of continuous efforts, the genetic architecture parameters, such as heritability, polygenicity, and mode of selection, underlying the N responses in maize remain largely unclear. In this study, about n = 230 maize inbred lines were phenotyped under high N (HN) and low N (LN) conditions for two consecutive years to obtain six yield-related traits. Heritability analyses suggested that traits highly responsive to N treatments were less heritable. Using publicly available SNP genotypes, the genome-wide association study (GWAS) was conducted to identify n = 231 and n = 139 trait-associated loci (TALs) under HN and LN conditions, respectively, and n = 162 TALs for N-responsive (NR) traits. Furthermore, genome-wide complex trait Bayesian (GCTB) analysis, a method complementary to GWAS, was performed to estimate genetic parameters, including genetic polygenicity and the mode of selection (S). GCTB results suggested that the NR value of a yield component trait was highly polygenic and that four NR traits exhibited negative correlations between SNP effects and their minor allele frequencies (or the S value < 0) -- a pattern consistent with negative selection to purge deleterious alleles. This study reveals the complex genetic architecture underlying N responses for yield-related traits and provides insights into the future direction for N resilient maize development.

genetics↗

bioRxiv2022

A host E3 ubiquitin ligase regulates Salmonella virulence by targeting an SPI-2 effector involved in SIF biogenesis

Salmonella Typhimurium creates an intracellular niche for its replication by utilizing a large cohort of effectors, including several that function to interfere with host ubiquitin signaling. Although the mechanism of action of many such effectors has been elucidated, how the interplay between the host ubiquitin network and bacterial virulence factors dictates the outcome of infection largely remains undefined. Here we found that the SPI-2 effector SseK3 inhibits SNARE pairing to promote the formation of Salmonella-induced filament by Arg-GlcNAcylation of SNARE proteins, including SNAP25, VAMP8, and Syntaxin. Further study reveals that host cells counteract the activity of SseK3 by inducing the expression of the ubiquitin E3 ligase TRIM32, which catalyzes K48-linked ubiquitination on SseK3 and targets its membrane-associated portion for degradation. Hence, TRIM32 antagonizes SNAP25 Arg-GlcNAcylation induced by SseK3 to restrict SIF biogenesis and Salmonella replication. Our study reveals a mechanism by which host cells inhibit bacterial replication by eliminating specific virulence factor.

cell biology↗

bioRxiv2022

Universal mechanism of hormone and allosteric agonist mediated activation of glycoprotein hormone receptors as revealed by structures of follicle stimulating hormone receptor

Follicle stimulating hormone (FSH) is an essential glycoprotein hormone for human reproduction, which functions are mediated by a G protein-coupled receptor, FSHR. Aberrant FSH-FSHR signaling causes infertility and ovarian hyperstimulation syndrome. Here we report cryo-EM structures of FSHR in both inactive and active states, with the active structure bound to FSH and an allosteric agonist compound 21f. The structures of FSHR are similar to other glycoprotein hormone receptors, highlighting a conserved activation mechanism of hormone-induced receptor activation. Compound 21f formed extensive interactions with the TMD to directly activate FSHR. Importantly, the unique residue H6157.42 in FSHR plays an essential role in determining FSHR selectivity for various allosteric agonists. Together, our structures provide a molecular basis of FSH and small allosteric agonist-mediated FSHR activation, which could inspire the design of FSHR-targeted drugs for the treatment of infertility and controlled ovarian stimulation for in vitro fertilization.

cell biology↗

bioRxiv2022

To praise or to blame? Neural signals predict divergent responses to moral hypocrisy.

Moral hypocrisy is common in society and could be discouraged if observers always respond negatively. Understanding the observers responses to moral hypocrisy is critical for promoting genuine morality. This study took the perspective from the observers and compared their behavioral and neural responses to moral hypocrisy versus clear moral/immoral acts. Behaviorally, we found that claiming to help but avoiding the cost of help (i.e., moral hypocrisy) was endorsed as more moral than rejecting to help and even received monetary praise from 40% of observers. Neurally, moral hypocrisy versus clear moral acts elicited reduced responses in the reward system (e.g., ventromedial prefrontal cortex) and increased responses in regions responsible for disgust (e.g., anterior insula). The neural signals together with the interplay to the mentalizing network (e.g., temporoparietal junction) predicted divergent responses, even five months later. Our findings provide behavioral and neural accounts of how hypocrisy is perceived and why it prevails. Significance StatementO_LIFrom the perspective of a third-party observer, this study showed that moral hypocrisy is indeed deceptive and induces observers divergent responses of praise or blame. C_LIO_LIClaiming to help but avoiding the cost of help (i.e., moral hypocrisy) was considered more moral than rejecting to help and even received monetary praise from 40% of observers. C_LIO_LIUsing fMRI, this study revealed that the divergent behavioral responses to moral hypocrisy could be predicted and classified by the activations of the reward system (e.g., ventromedial prefrontal cortex) and regions responsible for disgust (e.g., anterior insula) as well as the functional connectivity with the mentalizing network (e.g., right temporoparietal junction), even five months later. C_LI

neuroscience↗

bioRxiv2022

Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments

MotivationPhased DNA methylation states within bisulfite sequencing reads are valuable source of information that can be used to estimate epigenetic diversity across cells as well as epigenomic instability in individual cells. Various measures capturing the heterogeneity of DNA methylation states have been proposed for a decade. However, in routine analyses on DNA methylation, this heterogeneity is often overlooked by computing average methylation levels at CpG sites. In this study, to facilitate the application of the DNA methylation heterogeneity measures in downstream epigenomic analyses, we present a Rust-based, extremely fast and lightweight bioinformatics toolkit called Metheor. ResultsWe benchmark the performance of Metheor against existing code implementation for DNA methylation heterogeneity measures in three different scenarios of simulated bisulfite sequencing datasets. Metheor was shown to dramatically reduce the execution time up to 300-fold and memory footprint up to 60-fold, while producing the same results with the original implementation. AvailabilitySource code for Metheor is at https://github.com/dohlee/metheor and is freely available for non-commercial users. Contactsunkim.bioinfo@snu.ac.kr

bioinformatics↗

bioRxiv2022

Integrative analysis of the MD Anderson Prostate Cancer Patient-Derived Xenograft Series (MDA PCa PDX)

Progress in understanding prostate cancer (PCa) metastasis and therapy resistance has been hampered by the lack of models, representative of the clinical spectrum and biologic complexity of the disease. Our laboratory is home to one of the largest worldwide repositories of PCa patient-derived xenografts (PDXs), the MDA PCa PDX series, a collection of clinically annotated PDXs reflecting the full spectrum of potentially lethal disease, that includes tumors that are not end stage and not castration-resistant PCa. We performed whole genome sequencing, targeted sequencing and RNA sequencing of 46 MDA PCa PDX models derived from biopsy and surgical specimens from 39 patients, selected in order to reflect the clinicopathological PCa subtypes (data available in cBioPortal). MDA PCa PDXs genomic characterization shows that the cohort recapitulates the mutational landscape found in PCa, highlighting the clinical relevance of these models. Interestingly and consistently with the clinic, certain models lack the typical PCa driver alterations, thus providing a suitable tool for discovery of novel drivers. Our cohort also includes PDXs derived from different areas of the same tumor and longitudinal samples, allowing to study disease heterogeneity and progression. Finally, we have developed a procedure to grow organoids from PDXs, thus providing a powerful in vitro platform that supports hypothesis generation, and testing of clinically relevant observations. Genomic and transcriptomic characterization of MDA PCa PDXs together with the ability to grow them as organoids for in vitro experimentation, provides a unique resource to address the existing clinical gap in PCa, helping to better understand mechanisms of response and resistance. One Sentence SummaryMDA PCa PDX series is a dynamic resource capturing the molecular landscape of prostate cancer; a platform for discovery and personalized medicine

cancer biology↗

bioRxiv2022

Mixed selectivity coding of content-temporal detail by dorsomedial posterior parietal neurons

The dorsomedial posterior parietal cortex is part of a higher-cognition network implicated in elaborate processes underpinning memory formation, recollection, episodes reconstruction, and temporal information processing. Neural coding for complex episodic processing is however under-documented. Here we revealed a set of neural codes of neuroethogram in the primate parietal cortex. Analyzing neural responses in macaque dmPPC to naturalistic videos, we discovered several groups of neurons that are sensitive to different categories of ethogram-items and to low-level sensory features, and saccadic eye movement. We also discovered that the processing of category and feature information by these neurons is sustained by accumulation of temporal information over a long timescale up to 30 s, corroborating its reported long temporal receptive windows. We performed an additional behavioral experiment and found that saccade-related activities could not account for the mixed neuronal responses elicited by the video stimuli. We further observed monkeys scan-paths and gaze consistency are modulated by video content. Taken altogether, these neural findings explain how dorsomedial PPC weaves fabrics of ongoing experiences together in real-time. The high dimensionality of neural representations should motivate us to shift the focus of attention from pure selectivity neurons to mixed selectivity neurons, especially in increasingly complex naturalistic task designs. HIGHLIGHTSO_LINeural codes for "neuroethogram" in macaque dorsomedial parietal cortex C_LIO_LIParietal neural codes exhibit mixed selectivity of event features C_LIO_LIDorsomedial PPC neurons support a long temporal receptive window for episodes C_LIO_LISaccadic movement could not explain away mixed neuronal responses C_LIO_LIConsistency in scan-path and gaze shown across viewing repetitions C_LI

neuroscience↗