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Li, Q.

Publications and source records attributed to Li, Q..

At least 271 records · Page 15Linked to original sources

Title: Cell-autonomous and non-cell-autonomous effects of TRIM72 on ALS disease progression

Dysfunction of RNA-binding proteins, including TDP-43 and FUS, has been associated with amyotrophic lateral sclerosis (ALS); however, the underlying mechanisms are largely unknown. Here, we reported that a neuronal upregulation of TRIM72 (Tripartite Motif Containing 72) in FUS mutation knockin ALS models slows disease progression. TRIM72 interacts with Commander, a protein complex for recycling of membrane proteins, facilitating membrane repair and antioxidation. Exosomal TRIM72 is detected in ALS patient cerebrospinal fluid (CSF) and extracellular application of exosomal TRIM72 protects cell from membrane damage. In a sporadic ALS cohort, CSF TRIM72 level associates ALS disease progression. AAV-mediated neuronal expression of TRIM72 slows down the disease progressions in ALS models and in an ALS patient without adverse effects over a year treatment course. Taken together, our results suggest a universal neuronal protection of a TRIM family protein in cell-autonomous and non-cell-autonomous manners in ALS.

neuroscience↗

Molecular and structural basis of a subfamily of PrfH rescuing both the damaged and intact ribosomes stalled in translation

In bacteria, spontaneous mRNAs degradation and ribotoxin-induced RNA damage are two main biological events that lead to the stall of protein translation. The ubiquitous trans-translation system as well as several alternative rescue factors (Arfs) are responsible for rescuing the stalled ribosomes caused by truncated mRNAs that lack the stop codons. To date, protein release factor homolog (PrfH) is the only factor known to rescue the stalled ribosome damaged by ribotoxins. Here we show that a subfamily of PrfH, exemplified by PrfH from Capnocytophaga gingivalis (CgPrfH), rescues both types of stalled ribosomes described above. Our in vitro biochemical assays demonstrate that CgPrfH hydrolyzes the peptides attached to P-site tRNAs when in complex with both the damaged and intact ribosomes. Two cryo-EM structures of CgPrfH in complex with the damaged and intact 70S ribosomes revealed that CgPrfH employs two different regions of the protein to recognize two different stalled ribosomes to orient the GGQ motif for peptide hydrolysis. Thus, using a combination of bioinformatic, biochemical, and structural characterization described here, we have uncovered a family of ribosome rescue factors that possesses dual activities to resolve two distinct stalled protein translation in bacteria.

biochemistry↗

High-pressure Golgi neuronal staining for X-ray whole-brain imaging

Whole-brain imaging has revolutionized neuroscience research, providing comprehensive insights into neural networks across the entire brain. This powerful approach has greatly advanced our understanding of brain functions and the mechanisms underlying various diseases. One primary challenge in whole-brain imaging technology is to achieve high-resolution observation of neural networks at large scales. Although Golgi method allows labeling random neurons in their entirety in the brain, visualizing individual dendritic trees, and tracing long-distance axonal projections, the lengthy processing time pose a limit on its use, i.e., staining a mouse whole-brain sample of just 300 mm3 takes over two weeks. Here, we developed a rapid staining technique for whole-brain neurons using high-pressure assisted Golgi (HP Golgi). This method significantly reduced the staining time for mouse whole-brain neurons from 16 days to only 4 days. We demonstrated the broad applicability of the HP Golgi method across various model organisms, achieving whole-brain neuronal staining in zebrafish, mice, and rats. Further, we successfully performed rapid staining of hippocampal neurons in an intact pig brain, which is difficult to achieve with the classic Golgi-Cox method. We also demonstrated that the combination of the HP Golgi method with synchrotron-based X-ray microscopy for high-resolution imaging of whole-brain neurons in mice. This HP Golgi method enables fast and high-resolution neuronal imaging in large model organisms, showcasing its broad applicability for diverse applications.

biophysics↗

High-resolution digital dissociation of brain tumors with deep multimodal autoencoder

In single cell biology, the complexity of tissues may hinder lineage cell mapping or tumor microenvi-ronment decomposition, requiring digital dissociation of bulk tissues. Many deconvolution methods focus on transcriptomic assay, not easily applicable to other omics due to ambiguous cell markers and reference-to-target difference. Here, we present MODE, a multimodal autoencoder pipeline linking multi-dimensional features to jointly predict personalized multi-omic profiles and cellular compositions, using pseudo-bulk data constructed by internal non-transcriptomic reference and external scRNA-seq data. MODE was evaluated through rigorous simulation experiments and real multiomic data from multiple tissue types, outperforming nine deconvolution pipelines with superior generalizability and fidelity.

bioinformatics↗

Long-read sequencing reveals extensive size variation and suggests evolutionary patterns of expansion in bivalve mitogenomes

Bilaterian mitochondrial genomes are generally of conserved size and gene content, typically ranging from 14 to 20 kb and coding 37 genes. However, the major exception to this rule has been found in many bivalve species which allow the presence of long unassigned region (regions that are functionally unassigned). It is still unclear whether there are universal patterns to expansions across bivalves. Additionally, the prevalence of highly repetitive sequences within complex mitogenomes has prevented its complete assembly and led to its systematic omission from mitogenomic analyses. Here, leveraging the growing genomic resources in Mollusca, we devised a mitogenome assembly pipeline using long-read sequencing to characterize mitogenome features in 178 mollusk species. Comparing our assemblies with reference mitogenomes based on Sanger/short-read sequencing, we identified missing sequences, repeats and novel gene duplications and found that bivalves exhibit an exceptional diversity in mitogenome size compared to other mollusks. Subsequently, we investigated the factors potentially influencing mitogenome size, the potential functional elements and the patterns of expansion regions. Furthermore, we discussed that the possible selective pressure on mitogenome size and hypothesized that the variability of bivalve mitogenomes may be linked to innate immunity. Our findings underscore the significance of long-read sequencing in elucidating complex mitogenomes and provide new insights into the evolution of bivalve mitogenomes.

genomics↗

Elastase mediated white matter damage in cerebral small vessel disease: Microglia - neutrophils pas de deux

Cerebral small vessel disease (CSVD) leads to an extensive white matter damage associated with cognitive decline, yet the underlying damaging mechanisms remain incompletely understood. Here we established a positive correlation between plasma levels of serine proteinase elastase ELANE and periventricular white matter hyperintensity (PV-WMH) in a cohort of CSVD patients. In a CSVD murine model induced by bilateral carotid artery stenosis (BCAS), upregulated ELANE was detected both in microglia and peripheral blood neutrophils. Genetic ELANE deficiency significantly alleviated oligodendrocyte loss, thereby reducing white matter lesions (WMLs) as well as ameliorating sensorimotor and cognitive impairments in BCAS mice. In vitro studies demonstrated that ELANE triggered time-dependent and dose-dependent oligodendrocyte lineage cell death. Bone marrow transplantation showed that ELANE from microglia and peripheral blood both contributed to WML development and BCAS-induced neurological deficits. Mechanistically, ELANE, accumulated by oligodendrocytes, cleaved the phosphodiesterase domain of 2',3'-cyclic nucleotide 3'-phosphodiesterase (CNPase). Pharmacological inhibition of ELANE with Sivelestat reduced oligodendrocyte loss and WMLs leading to the restoration of white matter integrity and neurological improvements in BCAS mice. In post-mortem brain specimens of CSVD patients ELANE accumulated within WMLs being predominantly localized in microglia (and hence defined as microglial ELANE) rather than in the brain-infiltrating neutrophils. We therefore posit microglial ELANE as an instigator of whiter matter injury in CSVD and suggest its potential therapeutic relevance.

neuroscience↗

ldentify potential feature genes and immune cell infiltration of HIRI based on branched-chain amino acid-related genes by machine learning and experimental validation

BackgroundBranched-chain amino acid metabolism is involved in the pathogenesis of various liver diseases. In this study, we investigate the potential role of branched-chain amino acid metabolism-related genes in the pathogenesis of hepatic ischemia reperfusion (HIRI). MethodsThe gene Expression profiles of HIRI were obtained from the Gene Expression Omnibu database. To determine the differential expression of branched-chain amino acid metabolism-related genes between HIRI and normal tissues. Then, the GO and KEGG analyses were performed, and the protein-protein interaction network was constructed. Next, the random forest and LASSO algorithms were used to screen hub genes, and machine learning techniques were used to build diagnostic models. immunoinfiltration was analyzed in both HIRI patients and controls and the ceRNA network was established. Finally, quantitative real-time PCR was used to verify the expression of hub gene. ResultsBased on data set GSE23649, three central DEGs (SLC7A5, SLC1A5, SLC43A2) were determined by the intersection of three machine learning algorithms and used to establish a nomogram that yielded a high predictive performance (area under the curve 0.733-0.922). In the external GSE15480 dataset, AUC value for three key genes is as high as 1.000. Further analysis of nomogram, decision curve and calibration curve also confirme the predictive efficacy of diagnosis. GSEA and GSVA suggest that these three marker genes were involved in multiple pathways associated with HIRI progression. Immunoinfiltration analysis suggest that the proportion of macrophages, neutrophils, aDCs, Treg, and Th1 cells in HIRI group is higher than that in control group, with statistical significance(P<0.05). The ceRNA network demonstrates the complex regulatory relationships among the three hub genes and these mRNA levels were further confirmed in mouse HIRI liver samples. ConclusionsOur study have provided a comprehensive understanding of the association between branched-chain amino acid and HIRI, may provide potential target for HIRI treatment and diagnosis. And provide new insights into the mechanisms of HIRI. Graphical Abstract

bioinformatics↗

PERK Signaling Maintains Hematopoietic Stem Cell Pool Integrity under Endoplasmic Reticulum Stress by Promoting Proliferation

The integrity of the hematopoietic stem cell (HSC) pool relies on efficient long-term self-renewal and the timely removal of damaged or differentiation-prone HSCs. Previous studies have demonstrated the PERK branch of the unfolded protein response (UPR) drives specific programmed cell death programs to maintain HSC pool integrity in response to ER stress. However, the role of PERK in regulating HSC fate in vivo remains unclear. Here, we demonstrate that PERK is dispensable for normal hematopoiesis and HSC self-renewal under steady-state conditions. In contrast, PERK is activated to promote HSC proliferation and depletion in response to ER stress induced by the inactivation of ER-associated degradation (ERAD), via the knockout of key components of ERAD Sel1L or Hrd1. Inhibition of PERK, either through genetic knockout or knock-in of a point mutation that eliminates PERK kinase activity, significantly restores the HSC defects induced by Sel1L or Hrd1 knockout. Mechanistic studies reveal that ERAD deficiency does not lead to HSC death or ROS accumulation. Instead, PERK promotes the activation of mTOR signaling and drives abnormal proliferation of HSCs, impairing their self-renewal potential. This process removes stressed HSCs, thereby maintaining HSC pool integrity. Our study uncovers a PERK-centered strategy employed by HSCs to preserve their pool integrity independently of apoptosis. Key pointsO_LIPERK is not required for steady-state hematopoiesis but preserves hematopoietic stem cell pool integrity in response to increased ER stress. C_LIO_LIUnder ER stress induced by ERAD deficiency, PERK is activated to promote mTOR signaling and HSC hyper-proliferation, depleting damaged HSCs. C_LI

cell biology↗

White Spot Syndrome Virus Immediate-Early Protein (wsv100) Antagonizes the NF-kappaB Pathway to Inhibit Innate Immune Response in shrimp

Viruses have evolved sophisticated strategies to evade host immune defenses, often targeting conserved signaling pathways. In shrimp, the NF-{kappa}B signaling pathway is crucial for antiviral immunity, yet its regulation during White Spot Syndrome Virus (WSSV) infection remains poorly understood. Here, we identify and characterize wsv100, an immediate-early (IE) protein of WSSV, as a key antagonist of the NF-{kappa}B pathway. wsv100 interacts directly with the transcription factor Dorsal and the adaptor protein IMD, preventing Dorsal phosphorylation by Pelle kinase. This inhibition suppresses Dorsals nuclear translocation and downstream expression of antimicrobial peptides (AMPs), essential for antiviral defense. Knockdown of wsv100 reduced WSSV replication, increased Dorsal phosphorylation, and enhanced AMP expression, leading to higher survival rates in infected shrimp. Conversely, wsv100 overexpression promoted WSSV replication and AMPs suppression. These findings reveal a novel immune evasion mechanism by which WSSV subverts the NF-{kappa}B pathway and highlight the evolutionary arms race between hosts and viruses. This study enhances our understanding of host-virus interactions and offers potential targets for antiviral strategies in shrimp aquaculture. Author SummaryThe innate immune system is the first line of defense against viral infections in invertebrates, with the NF-{kappa}B signaling pathway playing a central role in orchestrating antiviral responses. In this study, we uncover a novel immune evasion mechanism employed by White Spot Syndrome Virus (WSSV), a devastating pathogen in shrimp aquaculture. The WSSV immediate-early protein wsv100 directly targets the transcription factor Dorsal and prevents its phosphorylation by Pelle kinase, a critical step in NF-{kappa}B activation. This interaction suppresses Dorsals nuclear translocation and downstream expression of antimicrobial peptides (AMPs), thereby impairing the shrimps ability to mount an effective immune response. Knockdown of wsv100 significantly reduced WSSV replication and enhanced shrimp survival, while wsv100 overexpression had the opposite effect. These findings not only elucidate how WSSV exploits the NF-{kappa}B pathway but also underscore its central role in shrimp antiviral immunity. This work advances our understanding of host-virus co-evolution and provides a foundation for developing novel antiviral strategies to mitigate the economic losses caused by WSSV in shrimp aquaculture.

microbiology↗

An AI-Cyborg System for Adaptive Intelligent Modulation of Organoid Maturation

Recent advancements in flexible bioelectronics have enabled continuous, long-term stable interrogation and intervention of biological systems. However, effectively utilizing the interrogated data to modulate biological systems to achieve specific biomedical and biological goals remains a challenge. In this study, we introduce an AI-driven bioelectronics system that integrates tissue-like, flexible bioelectronics with cyber learning algorithms to create a long-term, real-time bidirectional bioelectronic interface with optimized adaptive intelligent modulation (BIO-AIM). When integrated with biological systems as an AI-cyborg system, BIO-AIM continuously adapts and optimizes stimulation parameters based on stable cell state mapping, allowing for real-time, closed-loop feedback through tissue-embedded flexible electrode arrays. Applied to human pluripotent stem cell-derived cardiac organoids, BIO-AIM identifies optimized stimulation conditions that accelerate functional maturation. The effectiveness of this approach is validated through enhanced extracellular spike waveforms, increased conduction velocity, and improved sarcomere organization, outperforming both fixed and no stimulation conditions.

bioengineering↗

A CRISPR/SpCas9M-reporting system for efficient and rapid genome editing in Caulobacter crescentus

As members of the -proteobacteria group, Caulobacter crescentus and its relatives are known for their asymmetric life cycle and comprehensive applications in gene delivery, agricultural biotechnology, and the production of high-value compounds. However, genetic manipulations of these bacteria are often time-consuming and labor-intensive due to the lack of efficient genome editing tools. Here, we report a practical CRISPR/SpCas9M-reporting system that overcomes the limitations of SpCas9 expression, enabling efficient, markerless, and rapid genome editing in C. crescentus. As a demonstration, we successfully knocked out two genes encoding the scaffold proteins, achieving apparent editing efficiencies up to 80%. Key components, including the Cas protein, Cas inducer, sgRNA, homologous arms, and reporter, were systematically analyzed and optimized to enhance the editing efficiency or decrease the cell lethality. A nearly zero off-target ratio was observed after the curing of the editor plasmid in editing strains. Furthermore, we applied the CRISPR/SpCas9M-reporting system to two C. crescentus relatives, Agrobacterium fabrum and Sinorhizobium meliloti, establishing it as an efficient and reliable editing strategy. We anticipate that this system could be applied to other hard-to-edit organisms, accelerating both basic and applied research in -proteobacteria.

bioengineering↗

CellSexID: Sex-Based Computational Tracking of Cellular Origins in Chimeric Models

Cell tracking in chimeric models is essential yet challenging, particularly in developmental biology, regenerative medicine, and transplantation research. Existing methods such as fluorescent labeling and genetic barcoding are technically demanding, costly, and often impractical for dynamic or heterogeneous tissues. Here, we introduce CellSexID, a computational framework that leverages sex as a surrogate marker for cell origin inference. Using a machine learning model trained on single-cell transcriptomic data, CellSexID accurately predicts the sex of individual cells, enabling in silico distinction between donor and recipient cells in sex-mismatched settings. The model identifies minimal sex-linked gene sets through ensemble feature selection and has been validated using both public datasets and experimental flow sorting, confirming the biological relevance of predicted populations. We further demonstrate CellSexIDs applicability beyond chimeric models, including organ transplantation and multiplexed sample demultiplexing. As a scalable and cost-effective alternative to physical labeling, CellSexID facilitates precise cell tracking and supports diverse biomedical applications involving mixed cellular origins.

bioinformatics↗

Distribution of contezolid in different tissues of mice and human patients infected with Mycobacterium abscessus

BackgroundLinezolid (LZD), while effective against Mycobacterium abscessus (MAB), can cause myelosuppression and peripheral neuropathy. Contezolid (CZD) shares a similar antimicrobial profile with improved safety, but biodistribution data remain limited. This study evaluated CZDs biodistribution in MAB-infected mice and humans and its therapeutic potential across infection sites. MethodsMICs of CZD and LZD against 32 clinical MAB isolates and three reference strains were determined. In MAB-infected mice, drug concentrations were quantified in plasma and pulmonary and cerebral tissues at 2, 4, and 8 hours post-administration. In MAB-infected patients, CZD concentrations in bone, plasma, and cerebrospinal fluid were measured at multiple time points and MAB counts in sputum cultures were assessed daily over 14 days. ResultsRespective MIC50 and MIC90 values were 8 and 32 {micro}g/mL (LZD) and 16 and 32 {micro}g/mL (CZD). Pharmacokinetic CZD and LZD level comparisons revealed peak CZD plasma levels within 2 hours, higher systemic CZD levels, comparable pulmonary tissue concentrations, and slightly lower CZD cerebral tissue penetration. In patients, CZD levels in ankle joint effusion samples reached 2.0885 {micro}g/mL at 6 hours, peaking in the posterior malleolus. Plasma CZD concentrations peaked at 8.2349 {micro}g/mL at 3 hours and dropped to 6.1065 {micro}g/mL by 6 hours, while CSF levels were 0.9295 and 0.792 {micro}g/mL at 3 and 6 hours, respectively. Sputum bacterial burden decreased rapidly within 24 hours of CZD treatment, with near-complete clearance by day 4. ConclusionCZD and LZD exhibit comparable tissue distribution but different site-specific penetration, supporting their potential for treating diverse MAB infections.

microbiology↗

Cardiac Reprogramming with Drug Resistance Alleviates Doxorubicin-induced Cardiotoxicity in Mice and Pigs

Doxorubicin (Dox)-induced cardiotoxicity represents a significant clinical adverse effect associated with cancer chemotherapy treatment. The systematic toxicity associated with the currently available drug dexrazoxane has limited its clinical utility. Inspired by cancer drug resistance mechanisms, we propose a novel strategy termed Transient overexpression of p-glycoprotein (P-gp) for Cardiac reprogramming (TopCare) to induce cardiac drug resistance as a treatment for cardiotoxicity. This approach involves reprogramming cardiomyocytes by delivering lipid nanoparticles (LNPs)-based mRNA therapeutics to induce temporary P-gp overexpression, which in turn reduces intracellular Dox levels and suppresses cytotoxic effects. Our results demonstrated that LNPs with P-gp mRNAs (P-gp LNPs) enhance P-gp expression in H9c2 cells, significantly lowering the cytotoxicity of both Dox and paclitaxel (PTX). In a mouse model with Dox-induced cardiotoxicity, it was observed that P-gp LNPs effectively promoted P-gp overexpression in cardiomyocytes, with a time-dependent decline in P-gp protein levels. This TopCare strategy resulted in improved survival rates, restored cardiac function, and reduced myocardial fibrosis and structural cardiac alterations. Furthermore, studies in large animals have shown that intrapericardial (iPC) injection of P-gp LNPs effectively mitigates adverse effects and restores cardiac function in pig models of Dox-induced cardiotoxicity. The significant cardioprotective effects achieved through cardiac drug resistance highlight the safety, efficacy, and clinical potential of the TopCare strategy for alleviating doxorubicin-induced cardiotoxicity.

bioengineering↗

iModMix: Integrative Module Analysis for Multi-omics Data

SummaryIntegrative Module Analysis for Multi-omics Data (iModMix) is a biology-agnostic framework that enables the discovery of novel associations across any type of quantitative abundance data, including but not limited to transcriptomics, proteomics, and metabolomics. Instead of relying on pathway annotations or prior biological knowledge, iModMix constructs data-driven modules using graphical lasso to estimate sparse networks from omics features. These modules are summarized into eigenfeatures and correlated across datasets for horizontal integration, while preserving the distinct feature sets and interpretability of each omics type. iModMix operates directly on matrices containing expression or abundances for a wide range of features, including but not limited to genes, proteins, and metabolites. Because it does not rely on annotations (e.g., KEGG identifiers), it can seamlessly incorporate both identified and unidentified metabolites, addressing a key limitation of many existing metabolomics tools. iModMix is available as a user-friendly R Shiny application requiring no programming expertise (https://imodmix.moffitt.org), and as an R package for advanced users (https://github.com/biodatalab/iModMix). The tool includes several public and in-house datasets to illustrate its utility in identifying novel multi-omics relationships in diverse biological contexts. Availability and implementationShiny application: https://imodmix.moffitt.org. The R package and source code: https://github.com/biodatalab/iModMix.

bioinformatics↗

Small proteins from prokaryotes in marine water column at full ocean depth

Small proteins (SPs,[&le;] 50 amino acids) are usually ignored by automated bioinformatic algorithms and difficult to be detected by traditional protein purification. In this study, 193,281 prokaryotic SP clusters were generated using 433,311 small open reading frames (sORFs) predicted in assemblies of 71 full-ocean-depth marine water metagenomes from the western pacific. Further filtration with at least 5 copies per million reads resulted in 75,581 prevalent SP clusters, among which 4,307 clusters have coding capacity as predicted by RNAcode. For these RNAcode-filtered SP (RfSP) clusters hosted largely by Proteobacteria, Thaumarchaeota and Marinimicrobia, 29.16% of them show homology () in all prokaryotic genomes. About 2% of the RfSP clusters were estimated as potential antimicrobial peptides and were distributed across all depth zones. Transcription of 7.96% of the RfSP clusters was verified in 12 deep-sea metatranscriptomes, and translation of 34 prevalent SP clusters was detected in 14 metaproteomes. The transcribed RfSP clusters are involved in processes such as DNA stability under stress condition, betaine transport and cell division regulation for a rapid response to varying deep-sea environments. This study uncovers a vast reservoir of SPs with pivotal functions in potential antibiotic activities, hyperoxide detoxification and pressure resistance for fitness of marine prokaryotes in deep ocean.

bioinformatics↗

JOnTADS: a unified caller for TADs and stripes in Hi-C data

Topologically associating domains (TADs) and stripes are important architectural structures on Hi-C data that are important for gene regulation. We present Joint Optimized nested TADs and Stripes (JOn-TADS), a unified caller for TADs and stripes in Hi-C data. JOnTADS effectively identifies hierarchical TADs and stripes in population Hi-C and micro-C datasets, and hierarchical TADs in single-cell Hi-C data. It provides robust identifications aligned with known biology and effectively captures interaction frequency variations in contact maps across diverse contexts. When multiple samples are available, JOn-TADS leverages shared information across samples in TAD identification, reducing unwanted variation in TAD boundary identification while preserving biological differences. This approach enables robust identifications in single-cell Hi-C data, effectively addressing challenges posed by data sparsity. JOnTADS is computationally efficient and requires minimal user tuning.

bioinformatics↗

Glycophagy is an ancient bilaterian pathway supporting metabolic adaptation through STBD1 structural evolution

The selective autophagy of glycogen (glycophagy) has recently emerged as being crucial to glucose homeostasis in vertebrates, yet its origins remain elusive. Here, we provide evidence that starch-binding domain-containing protein 1 (STBD1), the key glycophagy receptor in vertebrates, is functionally conserved in the Pacific oyster, revealing its conserved position within ancient autophagy networks. We show that STBD1 in oysters - as seen in other invertebrate groups - possesses an N-terminal carbohydrate binding module family 20 (CBM20) domain, representing the ancestral state for this protein, while a shuffling of CBM20 to the C- terminus occurred during early chordate evolution. Structural modelling and functional studies reveal that the N-terminal CBM20 organization of STBD1 enhances glycogen binding. Functional experiments demonstrate that an STBD1-glycogen complex, anchored by GABARAPL2, facilitates an increased glycogen flux into autophagosomes for lysosomal degradation. We conclude that glycophagy is deeply conserved in bilaterians and that STBD1 structural evolution underlies potentially adaptive variation in metabolic strategies across distinct animal clades.

evolutionary biology↗