Biology subjects

Shan, J.

Publications and source records attributed to Shan, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Liverwort MpSDR4 regulates abscisic acid sensitivity and gemma cup growth

Complex traits often evolve by co-opting pre-existing genetic components. Orthologs of the transcriptional co-factor SEED DORMANCY 4 (SDR4) are found across seed-bearing and seed-free land plants. In flowering plants, loss-of-function mutants of sdr4 orthologs in rice and Arabidopsis exhibit opposite phenotypes in seed germination, a trait regulated by the phytohormone abscisic acid (ABA). We uncovered a major gene duplication event that closely preceded the origin of seed plants, by using a structure-informed molecular phylogenetic analysis. This duplication gave rise to the paralogous SDR4 and DIG/DIL clades, which are broadly retained across the seed plants. Investigating the role of SDR4 homologs in the common liverwort Marchantia polymorpha, a seed-free model organism with only a single SDR4-like homolog (MpSDR4), may provide insights into how SDR4 evolved to regulate dormancy and germination in other land plants. Loss-of-function mutants of Mpsdr4 and transcriptome profiling showed that MpSDR4 modulates ABA sensitivity, consistent with the idea that SDR4 subsequently evolved to regulate hormone responses related to seed germination, with additional functional divergence between monocots and eudicots. Furthermore, Mpsdr4 mutants exhibit elevated growth of gemma cups, contrasting the roles of SDR4 orthologs in asexual reproduction in liverwort with the regulation of seed traits in flowering plants.

plant biology↗

bioRxiv2026

The Y chromosome gene KDM5D restrains CD8+ T cell antitumor immunity through TCR and cholesterol-exhaustion programs

Sex differences in immunity shape cancer risk, autoimmunity, and responses to immunotherapy, yet the sex-chromosome genes that regulate antitumor T cell function remain incompletely defined. Here, we identify the Y chromosome-encoded KDM5D histone demethylase as a male-specific suppressor of CD8+ T cell antitumor immunity. In murine colorectal cancer (CRC) models, male CD8+ T cells displayed reduced cytokine production, proliferation, cytotoxicity, TCR{beta} abundance, and proximal TCR signaling relative to female CD8+ T cells. CRISPR-RNP-mediated KDM5D depletion in male CD8+ T cells enhanced effector function, increased TCR{beta} expression, augmented TCR signaling, and improved tumor control after adoptive transfer. Transcriptomic and functional analyses further linked KDM5D to cholesterol biosynthesis and exhaustion-associated programs, with KDM5D depletion reducing SREBP2/XBP1-associated cholesterol and exhaustion signatures. Correspondingly, human CRC single-cell analyses supported the clinical relevance of this axis, showing enrichment of exhausted and cholesterol-associated CD8+ T cell states in male tumors. Pharmacologic inhibition of cholesterol biosynthesis with lovastatin partially attenuated select exhaustion-associated markers in male CD8+ T cells and delayed tumor growth in vivo. Together, these findings define KDM5D as a sex chromosome-encoded regulator of male CD8+ T cell dysfunction and point to cholesterol-exhaustion programs as a potential therapeutic vulnerability in male CRC.

cancer biology↗

bioRxiv2026

Direct probabilistic quantification of mosaic loss of chromosome Y from sequencing data

Loss of chromosome Y (LOY) is the most common aneuploidy in aging men and is increasingly recognized as a marker of aging and genomic instability. Because LOY occurs in mosaic form, its degree reflects the fraction of cells lacking the Y chromosome. Existing SNP-array- and sequencing-based methods rely largely on single genomic features and indirect transformations to estimate this fraction. We developed BaySeq-Y, a Bayesian method that directly estimates LOY mosaicism from sequencing data using VCF files with read depth (DP) and allelic depth (AD). Within a rigorous Bayesian framework, BaySeq-Y integrates complementary LOY-associated genomic features, including decreased read depth and allelic imbalance, and can additionally leverage haplotype phasing to improve precision. In simulations and fluorescence in situ hybridization validation (FISH), BaySeq-Y provided accurate estimates and outperformed existing methods. Applications to ROSMAP and GTEx supported its biological relevance through transcriptomic validation, demonstrating its utility for quantifying LOY across diverse sequencing datasets.

bioinformatics↗

bioRxiv2026

A chemoinformatics-guided platform for efficient discovery of RNA-binding small molecules: Proof-of-concept for myotonic dystrophy type 1

Structured RNAs cause human diseases but remain challenging to target selectively with small molecules. Here, we report a chemoinformatics-guided discovery framework that integrates fingerprint-based molecular design, experimental validation, and mechanistic profiling to identify small molecules that bind highly structured, disease-associated RNAs. Using an RNA-binder fingerprint derived from known ligands, a Tversky similarity screen of >8 million compounds yielded a 150-member library enriched in chemical space for RNA-active scaffolds. Target engagement and cell-based assays identified multiple selective ligands for the pathogenic expanded triplet repeat, r(CUG)exp, that causes myotonic dystrophy type 1 (DM1) by binding and sequestering the RNA-binding protein muscleblind-like 1 (MBNL1). Biophysical and single-molecule analyses revealed that the small molecules bind the 1x1 nucleotide U/U internal loops formed when r(CUG)exp folds, partially block MBNL1 binding, and modulate RNA folding equilibria. Two optimized scaffolds rescued MBNL1-dependent splicing in patient-derived myotubes with micromolar potency and minimal cytotoxicity. This study establishes a generalizable, data-driven platform for discovering drug-like RNA-binding lead small molecules and demonstrates its application to the toxic repeat expansion RNA underlying DM1. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=97 SRC="FIGDIR/small/723748v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1a87b41org.highwire.dtl.DTLVardef@340a14org.highwire.dtl.DTLVardef@81b583org.highwire.dtl.DTLVardef@1b3ba14_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

bioinformatics↗

bioRxiv2026

Mechanistically Defined Epoxide- and Aziridine-2-carboxamide Electrophiles Enable Stereoselective Covalent RNA Modulation

RNA remains a largely untapped target for covalent small-molecule intervention due to the lack of electrophiles with predictable reactivity and stability in biological settings. Here, a mechanistically defined and tunable class of epoxide- and aziridine-2-carboxamide electrophiles that enable structure-guided covalent targeting of RNA is described. These warheads arise from an unexpected hydrolytic rearrangement of 3-chloropivalamide precursors under physiological conditions and selectively react with guanine N7, with reactivity and stability controlled by substitution pattern, linkage chemistry, and stereochemistry. Application to two distinct RNA targets demonstrates generality: epoxide- and aziridine-based ligands covalently modify pathogenic r(CUG)exp repeat RNA and disrupt RNA-protein interactions in vitro and in cells, while structure-guided placement on a flavin scaffold yields stereoselective covalent modulators of the flavin mononucleotide (FMN) riboswitch with validated reaction site and cellular activity. Together, this work establishes epoxide- and aziridine-2-carboxamides as a versatile platform for covalent RNA targeting and provides a general framework for the rational design of stereochemically controlled RNA-reactive small molecules.

biochemistry↗

bioRxiv2025

Elevated Temperatures Representing Heatwave Conditions Shift Active Nitrifying Communities and Their Viruses in Tidal Flats and Agricultural Soils

Global heatwave intensification associated with climate change will impact the nitrogen cycle, yet its effect on specific nitrifier groups or their interactions with viruses remains unclear. Using 13CO2-DNA-based stable isotope probing (SIP) coupled with metagenomics, we show that elevated temperatures associated with heatwave conditions restructure active nitrifying communities and their viruses in Yangtze River estuary tidal flats and adjacent agricultural soils. In tidal flats, high temperatures shifted active ammonia-oxidizing archaea and bacteria (AOA and AOB), and nitrite-oxidizing bacteria (NOB) from marine to terrestrial ecotypes. In contrast, heatwave conditions stimulated terrestrial ecotypes of AOA but suppressed AOB in agricultural soils. 13C-labeled nitrifier-infecting viruses also showed temperature-driven shifts in activity, lifestyle, and auxiliary metabolic genes in concert with hosts. Notably, AOA viruses carried the plastocyanin gene, potentially augmenting host metabolism. These findings demonstrate heatwaves drive complex shifts in nitrifier communities and their interactions with viruses, impacting global nutrient cycling under climate extremes.

microbiology↗

bioRxiv2025

Extrachromosomal circular DNA promotes inflammation and hepatocellular carcinoma development

Two decades after the initial report on increased micronuclei in human chronic liver disease (CLD) and hepatocellular carcinoma (HCC), their role in HCC development is still poorly understood. Here we show that micronuclei in hepatocytes trigger hepatic immune response and promote HCC development via an increased level of extrachromosomal circular DNA (eccDNA). Livers from a CLD model (Mcl1{Delta}hep mice) show increased micronuclei in parallel to eccDNA. Circular sequencing confirms higher eccDNA levels in micronuclei compared to primary nuclei. We developed nuclei-segregated DNA fiber (NuSeF) assay to show that micronuclei are more susceptible to replication stress, showing increased replication fork slowing. By comparing different murine liver disease models, high eccDNA is correlated with increased tumor incidence. EccDNA is a strong immunostimulant and promotes a crosstalk between hepatocytes and immune cells through the cGAS-STING pathway. Deletion of Sting1 in Mcl1{Delta}hep mice reduces immune cell chemotaxis, as well as tumor incidence. Our findings suggest that eccDNA from micronuclei mediates inflammation-driven liver carcinogenesis in CLD.

cancer biology↗

bioRxiv2025

EEG correlates of active removal from working memory

The removal of no-longer-relevant information from visual working memory (WM) is important for the functioning of WM, given its severe capacity limitation. Previously, with an "ABC-retrocuing" WM task, we have shown that removing information can be accomplished in different ways: by simply withdrawing attention from the newly irrelevant memory item (IMI; i.e., via "passive removal"); or by or "actively" removing the IMI from WM (Shan and Postle, 2022). Here, to investigate the neural mechanisms behind active removal, we recorded electroencephalogram (EEG) signals from human subjects (both sexes) performing the ABC-retrocuing task. Specifically, we tested the hijacked adaptation model, which posits that active removal is accomplished by a top-down-triggered down-modulation of the gain of perceptual circuits, such that sensory channels tuned to the to-be-removed information become less sensitive. Behaviorally, analyses revealed that, relative to passive removal, active removal produced a decline in the familiarity landscape centered on the IMI. Neurally, we focused on two epochs of the task, corresponding to the triggering, and to the consequence, of active removal. With regard to triggering, we observed a stronger anterior-to-posterior traveling wave for active versus passive removal. With regard to the consequence(s) of removal, the response to a task-irrelevant "ping" was reduced for active removal, as assessed with ERP and with posterior-to-anterior traveling waves, suggesting that active removal led to decreased excitability in perceptual circuits centered on the IMI. Significance StatementThe removal of no-longer-relevant information from working memory is critical for the flexible control of behavior. However, to our knowledge, the only explicit accounts of this operation describe the simple withdrawal of attention from that information (i.e., "passive removal"). Here, with measurements of behavior and electroencephalography (EEG), we provide evidence for a specific mechanism for the active removal of information from WM-hijacked adaptation-via the top-down triggering of an adaptation-like down-regulation of gain of the perceptual circuits tuned to the to-be-removed information. These results may have implications for disorders of mental health, including rumination, intrusion of negative thoughts, and hallucination.

neuroscience↗

bioRxiv2024

AtSDR4L and paralog promote seed-to-seedling transition in multiple seed compartments

Development is a series of decision-making events. Success of seed plants at individual and population levels strongly depends on the timing of germination and the rapidness of seedling establishment. Arabidopsis thaliana SEED DORMANCY 4-LIKE (AtSDR4L) and its paralog Dynamic Influencer of Gene Expression 2 (DIG2) are transcriptional co-repressors that promote seed-to-seedling phase transition. Their regulatory roles in promoting germination at the temporal and tissue-specific scales remain elusive. We show that strong germination arrest of Atsdr4l dig2 is alleviated by ABA antagonists. Isolated mutant embryos develop faster than intact seeds, but still exhibit delayed growth. Atsdr4l dig2 seeds show extensive changes in gene expression in both the seed coat and the embryo, with a subset of the genes differentially expressed tissue-specifically. MIKC-type MADS-box genes are the top-enriched transcription factor family among up-regulated genes in both seed compartments of Atsdr4l dig2, and AGAMOUS-LIKE44 (AGL44) is a dirct target of both AtSDR4L and DIG2. Many hormonal genes and hypoxia-responsive genes are misregulated in the double mutant seeds, accompanied by an over-accumulation of abscisic acid, auxin, their derivatives, as well as the immediate precursor of ethylene. Together, these results provide new mechanistic insights into how AtSDR4L and DIG2 work in concert to coordinate multiple pathways and prepare seeds for germination.

plant biology↗

bioRxiv2024

Neural evidence for decision-making underlying attractive serial dependence

Recall of stimuli is biased by stimulus history, variously manifested as an attractive bias toward or repulsive bias from previous stimuli (i.e., serial dependence). It is unclear when attractive vs repulsive biases arise and if they share neural mechanisms. A recent model of attractive serial dependence proposes a two-stage process in which adaptation causes a repulsive bias during encoding that is later counteracted by an attractive bias at the decision-making stage in a Bayesian-inference-like manner. Neural evidence exists for a repulsive bias at encoding, but evidence for the attractive bias during the response period has been more elusive. We recently [1] showed that while different stimuli in trial history exerted different (attractive or repulsive) serial biases on behavioral reports, during encoding the neural representation of the current item was always repulsively biased. Here we assessed whether this discrepancy between neural and behavioral effects is resolved during subsequent decision-making. Multivariate decoding of magnetoencephalography data during working memory recall showed a neural distinction between attractive and repulsive biases: an attractive neural bias emerged only late in recall. But stimuli that created a repulsive bias on behavior led to a repulsive neural bias early in the recall phase, suggesting that it had already been incorporated earlier. Our results suggest that attractive (but not repulsive) serial dependence arises during decision-making, and that priors that influence post-perceptual decision-making are updated by the previous trials target, but not by other stimuli.

neuroscience↗

bioRxiv2024

SaprotHub: Making Protein Modeling Accessible to All Biologists

Training and deploying large-scale protein language models typically requires deep machine learning expertise -- a barrier for researchers outside this field. SaprotHub overcomes this challenge by offering an intuitive platform that facilitates training and prediction as well as storage and sharing of models. We provide the ColabSaprot framework built on Google Colab which potentially powers hundreds of protein training and prediction applications, enabling researchers to collaboratively build and share customized models.

bioinformatics↗

bioRxiv2024

A longevity-specific bank of induced pluripotent stem cells from centenarians and their offspring

Centenarians provide a unique lens through which to study longevity, healthy aging, and resiliency. Moreover, models of human aging and resilience to disease that allow for the testing of potential interventions are virtually non-existent. We obtained and characterized over 50 centenarian and offspring peripheral blood samples including those connected to functional independence data highlighting resistance to disability and cognitive impairment. Targeted methylation arrays were used in molecular aging clocks to compare and contrast differences between biological and chronological age in these specialized subjects. Isolated peripheral blood mononuclear cells (PBMCs) were then successfully reprogrammed into high-quality induced pluripotent stem cell (iPSC) lines which were functionally characterized for pluripotency, genomic stability, and the ability to undergo directed differentiation. The result of this work is a one-of-a-kind resource for studies of human longevity and resilience that can fuel the discovery and validation of novel therapeutics for aging-related disease.

molecular biology↗

bioRxiv2023

SaProt: Protein Language Modeling with Structure-aware Vocabulary

AO_SCPLOWBSTRACTC_SCPLOWLarge-scale protein language models (PLMs), such as the ESM family, have achieved remarkable performance in various downstream tasks related to protein structure and function by undergoing unsupervised training on residue sequences. They have become essential tools for researchers and practitioners in biology. However, a limitation of vanilla PLMs is their lack of explicit consideration for protein structure information, which suggests the potential for further improvement. Motivated by this, we introduce the concept of a "structure-aware vocabulary" that integrates residue tokens with structure tokens. The structure tokens are derived by encoding the 3D structure of proteins using Foldseek. We then propose SaProt, a large-scale general-purpose PLM trained on an extensive dataset comprising approximately 40 million protein sequences and structures. Through extensive evaluation, our SaProt model surpasses well-established and renowned baselines across 10 significant downstream tasks, demonstrating its exceptional capacity and broad applicability. We have made the code1, pre-trained model, and all relevant materials available at https://github.com/westlake-repl/SaProt.

bioinformatics↗

bioRxiv2022

The photosystem I supercomplex from a primordial green alga Ostreococcus tauri harbors three light-harvesting complex trimers

As a ubiquitous picophytoplankton in the ocean and an early-branching green alga, Ostreococcus tauri is a model prasinophyte species for studying the functional evolution of the light-harvesting systems in photosynthesis. Here, we report the structure and function of the O. tauri photosystem I (PSI) supercomplex in the low light, where it expands its photon-absorbing capacity by assembling with the light-harvesting complexes I (LHCI) and a prasinophyte-specific light-harvesting complex (Lhcp). Its architecture exhibits hybrid features of the plant-type and the green algal-type PSI supercomplexes, consisting of a PSI core, a Lhca1-Lhca4-Lhca2-Lhca3 belt attached on one side and a Lhca5-Lhca6 heterodimer associated on the other side between PsaG and PsaH. Interestingly, nine Lhcp subunits, including one Lhcp1 monomer with a phosphorylated amino-terminal threonine and eight Lhcp2 monomers, oligomerize into three trimers and associate with PSI on the third side between Lhca6 and PsaK. The Lhcp1 phosphorylation and the light-harvesting capacity of PSI were subjected to reversible photoacclimation, suggesting that the formation of OtPSI-LHCI-Lhcp supercomplex is likely due to a state transition-like mechanism induced by light intensity change. Notably, this supercomplex did not exhibit far-red peaks in the 77 K fluorescence spectra, which is possibly due to weak coupling of the chlorophyll a603-a609 pair in OtLhca1-4.

plant biology↗

bioRxiv2021

MIG-23 is involved in sperm migration in Ascaris suum

In nematodes, spermiogenesis, which is also called sperm activation, is a process in which nonmotile spermatids are transformed into crawling spermatozoa, which is accompanied by a series of morphological, physiological and biochemical changes. Sperm motility acquisition during this process is essential for successful fertilization. However, the mechanisms of sperm motility regulation in nematodes remain to be clarified. Herein, we found that extracellular adenosine-5-triphosphate (ATP) level mediation by MIG-23, which is a homolog of human ecto-nucleoside triphosphate diphosphohydrolase (E-NTPDase), was required for major sperm protein (MSP) filament dynamics and sperm motility in the nematode Ascaris suum. MIG-23 was localized on the sperm plasma membrane. During sperm activation, mitochondrial activity was increased dramatically, and a large amount of ATP was produced and stored in refringent granules (RGs). In addition, a portion of the produced ATP was released to the extracellular space through ATP channels, which were composed of innexins and localized on the sperm plasma membrane. Spermatozoa, instead of spermatids, hydrolyzed exogenous ATP and processed ecto-ATPase activity. MIG-23 contributed to the ecto-ATPase activity of spermatozoa. Once MIG-23 activity was interrupted, spermatozoa also decreased their ATP hydrolysis activity. Blocking MIG-23 activity resulted in an increase in the depolymerization rate of MSP filaments in pseudopodia, which eventually affected nematode sperm migration. Overall, our data imply that MIG-23, which contributes to the ecto-ATPase activity of spermatozoa, regulates sperm migration by modulating extracellular ATP levels. HighlightsO_LIATP is released to extracellular space through innexin channels which are identified in worm sperm. C_LIO_LIWorm spematozoa show ecto-ATPase activity. C_LIO_LIMIG-23 contributes to the ecto-ATPase activity of spermatozoa and regulates extracellular ATP level. C_LIO_LIMIG-23 is required for MSP-based filament dynamics and sperm migration. C_LI

cell biology↗

bioRxiv2021

Sequencing of Argonaute-bound miRNA/mRNA hybrids reveals regulation of the unfolded protein response by microRNA-320a

MicroRNAs (miRNA) are short non-coding RNAs widely implicated in gene regulation. Most metazoan miRNAs utilize the RNase III enzymes Drosha and Dicer for biogenesis. One notable exception is the RNA polymerase II transcription start sites (TSS) miRNAs whose biogenesis does not require Drosha. The functional importance of the TSS-miRNA biogenesis is uncertain. To better understand the function of TSS-miRNAs, we applied a modified Crosslinking, Ligation, and Sequencing of Hybrids on Argonaute (AGO-qCLASH) to identify the targets for TSS-miRNAs in HCT116 colorectal cancer cells with or without DROSHA knockout. We observed that miR-320a hybrids dominate in TSS-miRNA hybrids identified by AGO-qCLASH. Targets for miR-320a are enriched in the eIF2 signaling pathway, a downstream component of the unfolded protein response. Consistently, in miR-320a mimic- and antagomir- transfected cells, differentially expressed genes are enriched in eIF2 signaling. Within the AGO-qCLASH data, we identified the endoplasmic reticulum (ER) chaperone Calnexin as a direct miR-320a target, thus connecting miR-320a to the unfolded protein response. During ER stress, but not amino acid deprivation, miR-320a up-regulates ATF4, a critical transcription factor for resolving ER stress. Our study investigates the targetome of the TSS-miRNAs in colorectal cancer cells and establishes miR-320a as a regulator of unfolded protein response.

molecular biology↗

bioRxiv2021

Identification of the receptor-binding protein of Clostridium difficile phage CDHS-1 reveals a new class of receptor-binding domains.

As natural bacterial predators, bacteriophages have the potential to be developed to tackle antimicrobial resistance, but our exploitation of them is limited by understanding their vast uncharacterised genetic diversity1,2. Fascinatingly, this genetic diversity reflects many ways that phages can make proteins, performing similar functions that together form the familiar phage particle. Critical to infection are phage receptor-binding proteins (RBPs) that bind bacterial receptors and initiate bacterial entry3. Here we identified and characterised Gp22, a novel RBP for phage CDHS-1 that infects pathogenic C. difficile, but that had no recognisable RBPs. We showed that Gp22 antibodies neutralised CDHS-1 infection and used immunogold-labelling and transmission electron microscopy to identify their location on the capsid. The Gp22 three-dimensional structure was resolved by X-ray crystallography revealing a new RBP class with an N-terminal L-shaped -helical superhelix domain and a C-terminal Mg2+-binding domain. The findings provide novel insights into C. difficile phage biology and phage-host interactions. This will facilitate optimal phage development and future engineering strategies4,5. Furthermore, the AlphaFold2-predicted Gp22 structure, which was strikingly accurate, paves the way for a structurome based transformation and guidance of future phage studies where many proteins lack sequence homology but have recognisable protein structures.

molecular biology↗

bioRxiv2021

The neural mechanisms of active removal from working memory

The ability to frequently update the contents working memory (WM) is vital for the flexible control of behavior. Whether there even exists a mechanism for the active removal of information from working memory, however, remains poorly understood. In this Registered Report we will test the predictions of models for two different (and not mutually exclusive) mechanisms of active removal: adaptation-hijacking and mental-context shifting. We will collect functional magnetic resonance imaging (fMRI) data while subjects perform a novel "ABC-retrocuing" task designed to elicit two modes of removal, active or passive (Shan & Postle, Registered Report). The adaptation-hijacking model posits an adaptation-like modification of perceptual circuits combined with a weak activation of the to-be-removed item. Its predictions will be assessed by using multivariate inverted encoding modeling (IEM) and photic "pings" to assay the state of feature-selective encoding channels and of activity-silent representations under active-removal versus passive-removal conditions. A second model - "working memory episodic memory" (WMEM) - posits that interference from no-longer-relevant information is minimized by making the mental context associated with new information dissimilar from that associated with the to-be-"removed" information. This will be tested by using representational similarity analysis (RSA) to compare the rate of contextual drift under active-removal versus passive-removal conditions.

neuroscience↗