Biology subjects

Liu, H.

Publications and source records attributed to Liu, H..

At least 307 records · Page 17Linked to original sources

bioRxiv2024

Atypical Visual Selective Attention in Children with Dyslexia: Evidence from N2pc and PD

Efficient visual attention is fundamental to the development of reading abilities. Previous studies have identified visual attention impairments in individuals with dyslexia, particularly in visual attention span and sluggish attention shifting. However, findings regarding basic visual selective attention remain controversial. To address this issue, the present study provides event-related potential (ERP) evidence to verify whether children with developmental dyslexia (DD) suffered from deficits in visual selective attention. A pop-out visual search task was used to examine visual attentional patterns to a lateral target in 66 children (33 children with DD and 33 typically developing (TD) children) using electroencephalography. Compared to TD children, children with DD showed a larger and prolonged P1 component, as well as a larger target-evoked N2pc component. The larger P1 amplitude was associated with lower reading fluency while the larger N2pc amplitude was associated with poor reading comprehension performance. Interestingly, the target-elicited N2pc was followed by positivity (PD component) in TD children but not in children with DD; however, the N2pc amplitude was correlated with the PD amplitude in children with DD. Children with DD show immature early attentional processing and may have an imbalance in the regulation of visual selective attention between attentional selection and suppression. Our findings provide ERP evidence for interpreting the underlying neural mechanism of visual selective attention in children with DD and may offer a new perspective for exploring the mechanism of visual attention deficits in dyslexia. Research HighlightsO_LIIn a pop-out visual search task, children with dyslexia exhibited a larger N2pc and an absent PD component. C_LIO_LIThe absence of the PD component in children with dyslexia may be associated with their larger N2pc amplitudes. C_LIO_LIN2pc amplitude is associated with reading ability in children with dyslexia. C_LIO_LIChildren with dyslexia need to allocate more resources towards the target but also struggle to disengage from the attended location. C_LI

neuroscience↗

bioRxiv2024

Development of a novel peripherally acting alpha2A-adrenergic receptor antagonist for anti-diabetic

Yohimbine, a potent alpha2A-adrenergic receptor (2AAR) antagonist, was found therapeutic potential for type 2 diabetes through improving insulin release. However, the adverse side effects mediated by its actions in the brain hampered its use. Here, based on molecular docking analysis and structural modification, we have developed a novel peripherally acting yohimbine derivative (CDS479-2). CryoEM data found that yohimbine and CDS479-2 have similar interactions with the structure of 2AAR. Importantly, CDS479-2 shows similar 2AAR antagonist activity as yohimbine, but with very limited access to the brain, and thus avoiding the unwanted central effects such as hypertension and anxiety. Acute administration of CDS479-2 by injection or gavage lowered blood glucose levels and improved glucose tolerance in the high-fat diet-induced obesity (DIO) mice, an animal model for human type 2 diabetes. Remarkably, DIO mice received 2 weeks of daily administration of CDS479-2, but not yohimbine, exhibited sustained normoglycaemia, and increased density of the insulin-producing beta cells, in which important proliferation genes were found upregulated. Moreover, the overall protein expression levels of their pancreas were more similar to that of the healthy chow-fed mice. Thus, CDS479-2 may indicate a new direction for type 2 diabetes treatment. Importantly, the strategy we employed in this study will inspire the optimization for drugs that with both peripheral and central targets. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=166 HEIGHT=200 SRC="FIGDIR/small/628818v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1d3d7corg.highwire.dtl.DTLVardef@1afbad3org.highwire.dtl.DTLVardef@12a1aborg.highwire.dtl.DTLVardef@1341a02_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2024

Suaeda Salsa Hyperspectral Index (SSHI) for mapping S. salsa in coastal wetlands using hyperspectral satellite imagery

Suaeda Salsa (S. salsa), a pioneer species with short and red-purplish plants in the intertidal zones, has significant ecological, economic, recreational and tourism values. Timely monitoring of S. salsa is crucial for understanding its dynamics and sustainable management of coastal wetlands. Hyperspectral satellite offers valuable opportunities due to its detailed spectral information. This study proposed a Suaeda Salsa Hyperspectral Index (SSHI) for S. salsa mapping based on hyperspectral satellite imagery. The SSHI was developed by considering the large within-class spectral variations of cover types at coastal wetlands, accounting for the spectral correlations in hyperspectral data, and employing dynamic band selection on a per-pixel basis to optimize the separation of S. salsa from other land covers. [Formula] (1+ L), where i[isin][499nm, 611nm], j[isin][628nm, 851nm], L= 0.5. We applied SSHI on ZY1-02D/E AHSI images over Yellow River Delta (YRD) and Liao River Delta (LRD), China during 2021 to 2023. Based on SSHI, a simple thresholding method and a random forest (RF) model were used to map S. salsa. Our results showed that the overall accuracies of S. salsa maps achieved 87.96%[~]89.43% (YRD) and 92.03%[~]93.36% (LRD) using thresholds, and 92.62%[~]94.05% (YRD) and 94.74%[~]94.79% (LRD) using RF. For RF, incorporating SSHI improves S. salsa producers accuracies (users accuracies) by 1.02%[~]6.85% (2.26%[~]6.25%) compared to those without SSHI, proving the effectiveness of SSHI. The S. salsa maps reveal notable temporal variations, reflecting the impacts of climate change and human activities. SSHI is also applicable to other hyperspectral imagery, such as GF-5B and PRISMA.

ecology↗

bioRxiv2024

Atomistic Mechanism of Cation Permeation and Pore Voltage Sensitivity in Cyclic Nucleotide-Gated CNGA1 Ion Channel

Mammalian cyclic nucleotide-gated (CNG) ion channels play a fundamental role in signal transduction within the visual and olfactory sensory cells, converting external stimuli into electrical signals. Here, using large-scale atomistic molecular dynamics (MD) simulations under transmembrane voltages, we uncover the atomistic mechanism of monovalent cation permeation in the homotetrameric CNGA1 channel, involving hydrated cations in the selectivity filter. We propose that hydration fluctuations in the central gate region, driven by pore flexibility, are the underlying mechanism for excess single-channel conductance noise and characteristic single-channel flickering. Furthermore, we suggest an atomistic mechanism for intrinsic voltage sensitivity in the channel pore, mediated by allosteric coupling between the selectivity filter and the central cavity gate. Our study provides atomistic insights into non-selective cation permeation and voltage sensitivity of the CNGA1 channel pore that could not be resolved by static structural analysis alone.

biophysics↗

bioRxiv2024

Ipflufenoquin, Novel Dihydroorotate Dehydrogenase Inhibitor: Efficacy Against Strawberry Diseases and Docking Simulations via AlphaFold2 and Autodock Vina

In 2023, fungal diseases, including Botrytis cinerea (gray mold), were isolated from various strawberry fields in Korea. Ipflufenoquin, a novel class 2 dihydroorotate dehydrogenase (DHODH) inhibitor, was applied to plant pathogenic fungal species. EC50 values indicated that ipflufenoquin achieved high sensitivity in B. cinerea while maintaining broad-spectrum activity against other fungi. Fruit and greenhouse trials confirmed its robust efficacy in gray mold diseases, including those resistant to conventional fungicides like pyraclostrobin, fluxapyroxad, and benomyl. However, the ipflufenoquin application was less effective against fungal pathogens like blossom blight and Rhizopus rot, causing shifts in the fungal community and allowing less sensitive species to emerge. Structural prediction using Alphafold2 and molecular docking simulation showed ipflufenoquin was bound to the quinone binding tunnel in DHODH and highlighted the correlation between protein-ligand binding affinity and fungicide susceptibility, with species showing higher affinities being more sensitive. This study is the first to report sensitivity of strawberry fungal species to ipflufenoquin, and this fungicide is recommended in strawberry farms against gray mold disease. Additionally, we conducted in silico predictions of fungicide sensitivity across various plant pathogenic fungi using Alphafod2 and Autodock Vina. This establishes a foundation for future computational analyses to predict the effectiveness of fungicides, offering important baseline data to enhance fungicide management strategies.

microbiology↗

bioRxiv2024

Dimorphic Neural Network Architecture Prioritizes Sexual-related Behaviors in Male C.elegans

Neural network architecture determines its functional output. However, the detailed mechanisms are not well characterized. In this study, we focused on the neural network architectures of male and hermaphrodite C. elegans and the association with sexually dimorphic behaviors. We applied graph theory and computational neuroscience methods to systematically discern the features of these two neural networks. Our findings revealed that a small percentage of sexual-specific neurons exerted dominance throughout the entire male neural net-work, suggesting males prioritized sexual-related behavior outputs. Based on the structural and dynamical characteristics of two complete neural networks, sub-networks containing sex-specific neurons and their immediate neighbors, or sub-networks exclusively comprising sex-shared neurons, we predicted dimorphic behavioral outcomes for males and hermaphrodites. To verify the prediction, we performed behavioral and calcium imaging experiments and dissected a circuit that is specific for the increased spontaneous local search in males for mate-searching. Our research sheds light on the neural circuits that underlie sexually dimorphic behaviors in C. elegans, and provides significant insights into the inter-connected relationship between network architecture and functional outcomes at the whole-brain level.

neuroscience↗

bioRxiv2024

Structured light projection using image guide fibers for in situ photo-biofabrication

Light-based biofabrication techniques have revolutionized the field of tissue engineering and regenerative medicine. Specifically, the projection of structured light, where the spatial distribution of light is controlled at both macro- and micro-scale, has enabled precise fabrication of complex three-dimensional structures with high resolution and speed. However, despite almost two decades of progress, biofabrication processes have been mostly limited to benchtop devices which limit the flexibility in terms of where the fabrication can occur. Here, we demonstrate a Fiber-assisted Structured Light (FaSt-Light) projection apparatus for rapid in situ crosslinking of photoresins. This approach uses image-guide fiber bundles which can project bespoke images at multiple wavelengths, enabling flexibility and spatial control of different photoinitiation systems and crosslinking chemistries and also the location of fabrication. We demonstrate coupling of different sizes of fibers and different lenses attached to the fibers to be able to project small (several mm) or large (several cm) images for material crosslinking. FaSt-Light allows control over the cross-section of the crosslinked resins and enables the introduction of microfilaments which can further guide cellular infiltration, differentiation and anisotropic matrix production. The proposed approach could lead to a new range of in situ biofabrication techniques which improve the translational potential of photo-fabricated tissues and grafts.

bioengineering↗

bioRxiv2024

A click chemistry-based biorthogonal approach for the detection and identification of protein lysine malonylation for osteoarthritis research

Lysine malonylation is a post-translational modification where a malonyl group, characterized by a negatively charged carboxylate, is covalently attached to the {varepsilon}-amino side chain of lysine, influencing protein structure and function. Our laboratory identified Mak upregulation in cartilage under aging and obesity, contributing to osteoarthritis (OA). Current antibody-based detection methods face limitations in identifying Mak targets. Here, we introduce an alkyne-functionalized probe, MA-diyne, which metabolically incorporates into proteins, enabling copper(I) ion-catalyzed click reactions to conjugate labeled proteins with azide-based fluorescent dyes or affinity purification tags. In-gel fluorescence confirms MA-diyne incorporation into proteins across various cell types and species, including mouse chondrocytes, adipocytes, Hek293T cells, and C. elegans. Pull-down experiments identified known Mak proteins such as GAPDH and Aldolase. The extent of MA-diyne modification was higher in Sirtuin 5-deficient cells suggesting these modified proteins are Sirtuin 5 substrates. Pulse-chase experiments confirmed the dynamic nature of protein malonylation. Quantitative proteomics identified 1136 proteins corresponding to 8903 peptides with 429 proteins showing 1-fold increase in labeled group. Sirtuin 5 regulated 374 of these proteins. Pull down of newly identified proteins such as {beta}-actin and Stat3 was also done. This study highlights MA-diyne as a powerful chemical tool to investigate the molecular targets and functions of lysine malonylation in OA conditions.

biochemistry↗

bioRxiv2024

Zero valent sulfur is the product of assimilatory sulfite reductase and a substrate of cysteine synthase

The long process of the assimilatory sulfate-reduction consists of sulfate reduction to H2S and then H2S assimilation for cysteine synthesis. However, recent studies indicate that both H2S and zero valent sulfur (S0) are produced during dissimilatory sulfate reduction process, which leads to the question whether S0 also is involved in assimilatory sulfate-reduction. Herein, phylogenetic analysis grouped assimilatory sulfite reductases into five clusters and we re-examined four representatives from two major clusters. These enzymes produced both S0 and H2S from sulfite. However, S0 was more like a direct product, while H2S was just a derivative of S0 via chemical reduction. Phylogenetic analysis of cysteine synthases grouped them into six clusters, and we re-examined six representatives from two major clusters. These enzymes used both glutathione persulfide (GSSH, a common intracellular compound containing a S0 atom) and H2S as substrates to synthesize cysteine, but preferred to use GSSH. These findings indicated that S0, other than H2S, is the key intermediate during the process of inorganic sulfur converting to organic sulfur. ImportanceSulfate reduction is an important link in the global sulfur cycle. Assimilatory sulfate-reduction consists of sulfate-reduction to H2S and then H2S assimilation for cysteine synthesis. This concept was founded in 1950s and has not been challenged until today. In this study, we re-examined four representative assimilatory sulfite reductases (aSiRs) and found that these enzymes directly reduced sulfite to zero valent sulfur (S0). A small portion of produced S0 was reduced to H2S via aSiR-independent chemical reactions. Further, we re-examined six representative cysteine synthases and found that these enzymes used S0 derivative compounds (thiosulfate and glutathione persulfide) as substrates to synthesize cysteine. Thus, S0 is the key intermediate of assimilatory sulfate reduction process, other than H2S.

microbiology↗

bioRxiv2024

FTO (fat-mass and obesity-associated protein) deficiency aggravates age-dependent depression-like behaviors and cognitive impairment

AbstractO_ST_ABSBackgroundC_ST_ABSThe demethylase fat mass and obesity-related protein (FTO) is strongly associated with depression. Aging is a risk factor for synaptic plasticity damage in the brain and leads to neurocognitive dysfunctions. However, whether FTO is associated with susceptibility to depression in different age groups remains unknown. MethodsWe subjected 3-and 12-month-old C57BL/6J male mice to 6 weeks of chronic unpredictable mild stress (CUMS) and 3 weeks of hippocampal injection of FTO knockdown adeno-associated virus 9 shRNA (FTO-KD AAV9). Finally, 36 male mice in each 3-month-old and 12-month-old groups were divided into three groups (n=12): Sham, CUMS, and FTO-KD. After 6 weeks, we assessed behavioral deficits (depressive and anxiety-like behaviors and cognitive impairment) by behavioral tests and hippocampal neuronal damage (dendritic spine density, neuronal atrophy, and expression of proteins associated with synaptic plasticity) by molecular biochemical experiments. ResultsThe results showed that 12-month-old C57BL/6J mice were more likely to develop depression-like behavior and spatial learning and memory impairment induced by CUMS than 3-month-old mice. Chronic stress-induced depression-like behavior and cognitive impairment worsened after the FTO-KD intervention. In the hippocampus of 3-and 12-month-old mice, CUMS induced the downregulation of FTO, nerve growth factor (NGF), reelin, and synaptic plasticity-related proteins. It also caused abnormal BDNF-TrkB signaling, reduced density of dendritic spines, and an increased number of neuronal pyknotic nuclei, leading to neuronal disarray, which was more significant in 12-month-old animals. FTO deficiency accelerated neuronal damage in the hippocampus of 12-month-old CUMS mice. ConclusionsThis study provides rodent evidence that FTO deficiency may increase the susceptibility to depression in older adults by impairing hippocampal neuronal function and neuronal synaptic plasticity in an age-dependent manner. This suggests that the development of FTO activators may be an effective treatment for depression in older adults.

neuroscience↗

bioRxiv2024

Reduced expression of PER2 protein contrbutes to β1-AA induced cardiac autophagy rhythm disorder

It has been confirmed that heart failure may be linked to fluctuations in autophagy rhythm of cardiomyocytes throughout the day. It is known that circadian rhythms depend on the regulation of core biological clock proteins, with PER2 playing a crucial role. Our previous research has confirmed the presence of {beta}1-Adrenergic receptor autoantibodies ({beta}1-AA) could induce inhibition of myocardial autophagy, leading to cell death and heart failure. However, it remains unclear whether {beta}1-AA induces cardiac autophagy rhythm disorder by affecting PER2 expression. This study find that {beta}1-AA disrupts the autophagy rhythm in cardiomyocytes, primarily indicates by the decreased expression of the autophagy marker protein LC3; {beta}1-AA induces disruption of the rhythmic expression of PER2 protein in myocardial cells, mainly manifests by a decrease in PER2 protein expression; Metoprolol is employed to verify that the {beta}1-adrenergic receptor contributes to the reduction of Per2 protein caused by {beta}1-AA. Knocking down Per2 with lentivirus reduces the inhibition of LC3 expression caused by {beta}1-AA, while overexpressing Per2 in cardiomyocytes using lentivirus significantly restores {beta}1-AA-induced decline in LC3 expression. At the same time, mTORC1 activation is found to participate in {beta}1-AA-induced autophagy inhibition of cardiomyocytes after pretreatment with the mTORC1 inhibitor rapamycin. Furthermore, it is confirmed that the decreased expression of PER2 protein caused by {beta}1-AA disrupts the myocardial autophagy rhythm by promoting mTORC1 activation through lentiviruses that knock down or overexpress the Per2 gene. This study provides experimental basis for the precision treatment of cardiovascular diseases from the perspective of biological rhythm.

molecular biology↗

bioRxiv2024

abCAN: a Practical and Novel Attention Network for Predicting Mutant Antibody Affinity

Accurate prediction of mutation effects on antibody-antigen interactions is critical for antibody engineering and drug design. In this study, we present abCAN, a practical and novel attention network designed to predict changes in binding affinity caused by mutations. abCAN requires only the pre-mutant antibody-antigen complex structure and mutation information to perform its predictions. abCAN introduces an innovative approach, Progressive Encoding, which progressively integrates structural, residue-level, and sequential information to construct the complex representation in a systematic manner, effectively capturing both the topological features of the structure and contextual features of the sequence. During which, extra weight to interface residues would also be applied through attention mechanisms. These learned representations are then transferred to a predictor that estimates changes in antibody-antigen binding affinity induced by mutations. On the benchmark dataset, abCAN achieved a root-mean-square error (RMSE) of 1.195 (kcal/mol-1) and a Pearson correlation coefficient (PCC) of 0.841, setting a new state-of-the-art (SOTA) benchmark for prediction accuracy in the field of antibody affinity prediction.

bioinformatics↗

bioRxiv2024

Two distinct durable human class-switched memory B cell populations are induced by vaccination and infection

Memory lymphocytes are durable cells that persist in the absence of antigen, but few human B cell subsets have been characterized in terms of durability. The relative durability of eight non-overlapping human B cell sub-populations covering 100% of all human class-switched B cells was interrogated. Only two long-lived B cell populations persisted in the relative absence of antigen. In addition to canonical germinal center-derived switched-memory B cells with an IgD-CD27+ CXCR5+ phenotype, a second, non-canonical, but distinct memory population of IgD-CD27- CXCR5+ DN1 B cells was also durable, exhibited a unique TP63-linked transcriptional and anti-apoptotic signature, had low levels of somatic hypermutation, but was more clonally expanded than canonical switched-memory B cells. DN1 B cells likely evolved to preserve immunological breadth and may represent the human counterparts of rodent extrafollicular memory B cells that, unlike canonical memory B cells, can enter germinal centers and facilitate B cell and antibody evolution. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/624972v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@169c77forg.highwire.dtl.DTLVardef@1a872f5org.highwire.dtl.DTLVardef@1360cforg.highwire.dtl.DTLVardef@38d7ed_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

TurboID-based proximity labeling discovers ABCF2 as an adhesion receptor for the zoonotic pathogen Pasteurella multocida

Pasteurella multocida is a zoonotic pathogen that can cause fatal infections in both animals and humans. A significant number of putative adhesive factors have been predicted to contribute to the pathogenesis of P. multocida, but their interactive proteins on host cells remain unclear. In this study, we experimentally verified the roles of three previously proposed proteins (PlpE, PtfA, Hsf-2) in the adherence of P. multocida. Through turboID-based proximity labeling screening, we identified ATP-binding cassette sub-family F member 2 (ABCF2) as a host interactive protein for PlpE/PtfA/Hsf-2. Crucial amino acid residues in PlpE, PtfA, and/or Hsf-2 that are essential for interacting with ABCF2 included Asp-123 (PlpE), Lys-88 (PtfA), Asp-136 (PtfA), Ala-464 (Hsf-2), Glu-473 (Hsf-2), and Arg-489 (Hsf-2). Knocking down or knocking out ABCF2 significantly reduced the adherence and invasion of P. multocida to host cells, while overexpression of ABCF2 markedly increased these effects. However, ABCF2 did not contribute to the adherence of other bacterial species such as Klebsiella pneumoniae and Bordetella bronchiseptica. Additionally, we demonstrated that P. multocida infection upregulated the expression of host ABCF2 by activating the p38 MAPK and NF-{kappa}B signaling pathways. Furthermore, we showed that ABCF2 was involved in the P. multocida-induced p53-dependent apoptotic signaling pathway. To the best of our knowledge, this is the first identification of ABCF2 as a host factor contributing to the adherence of P. multocida and only the second report of ABCF2s involvement in bacterial pathogenesis. ImportanceP. multocida can cause fatal infections in both animals and humans, yet the mechanisms related to its pathogenesis remain to be fully explored. In this study, we identified ABCF2 as a crucial host interactive protein for three adhesive proteins encoded by P. multocida and experimentally verified its role in the adherence and invasion of P. multocida. Furthermore, we elucidated how P. multocida modulates ABCF2 during its infection and revealed p53-dependent apoptosis as a downstream effect of ABCF2 during P. multocida infection. Given the absence of reports on ABCF2 contributing to the pathogenesis of P. multocida and only one previous report on the involvement of ABCF2 in bacterial pathogenesis prior to this study, this research could be valuable for comprehending the interactions between bacteria and hosts during bacterial infections.

microbiology↗

bioRxiv2024

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↗

bioRxiv2024

A single high-zinc activation enhancer can control two genes oriented head-to-head in C. elegans

Enhancers play critical roles in gene expression, but a full understanding of their complex functions has yet to be defined. The cellular response to excess zinc levels in C. elegans requires the HIZR-1 transcription factor, which binds the high-zinc activation (HZA) enhancer in the promoters of multiple target genes. Cadmium hijacks the excess zinc response by binding and activating HIZR-1. By analyzing the genome-wide transcriptional response to excess zinc and cadmium, we identified two positions in the genome where head-to-head oriented genes are both induced by metals. In both examples, a single predicted HZA enhancer is positioned between the two translational start sites. We hypothesized that a single enhancer can control both head-to-head genes, an arrangement that has not been extensively characterized. To test this hypothesis, we used CRISPR genome editing to precisely delete the HZAmT enhancer positioned between mtl-2 and T08G5.1; in this mutant, both head-to-head genes display severely reduced zinc-activated transcription, whereas zinc-activated transcription of more distant genes was not strongly affected. Deleting the HZAcF enhancer positioned between cdr-1 and F35E8.10 caused both head-to-head genes to display reduced cadmium-activated transcription, whereas cadmium-activated transcription of more distant genes was not strongly affected. These studies rigorously document that a single HZA enhancer can control two head-to-head genes, advancing our understanding of the diverse functions of enhancers. Article SummaryEnhancers are critical for gene expression, but a full understanding their functions has yet to be elucidated. We discovered two positions in the C. elegans genome where a pair of head-to-head oriented genes are both transcriptionally activated by excess zinc and/or cadmium; in both cases, one high-zinc activation (HZA) enhancer is positioned between the translation start sites. When these HZA enhancers were deleted by genome engineering, both head-to-head genes lost metal-activated transcription. These results demonstrate that a single HZA enhancer can control two head-to-head genes, advancing the understanding of enhancer function.

genetics↗

bioRxiv2024

Beta-DIA: Integrating learning-based and function-based feature scores to optimize the proteome profiling of single-shot diaPASEF mass spectrometry data

We present a freely available diaPASEF data analysis software, Beta-DIA, that utilizes deep learning methods to score coelution consistency in retention time-ion mobility dimensions and spectrum similarity. Beta-DIA integrates these learning-based scores with traditional function-based scores, enhancing the qualitative analysis performance. In some low detection datasets, Beta-DIA identifies twice as many protein groups as DIA-NN. The success of Beta-DIA has paved another way for the application of deep learning in fundamental proteome profiling.

bioinformatics↗

bioRxiv2024

CellBinDB: A Large-Scale Multimodal Annotated Dataset for Cell Segmentation with Benchmarking of Universal Models

In recent years, cell segmentation techniques have played a critical role in the analysis of biological images, especially for quantitative studies. Deep learning-based cell segmentation models have demonstrated remarkable performance in segmenting cell and nucleus boundaries, however, they are typically tailored to specific modalities or require manual tuning of hyperparameters, limiting their generalizability to unseen data. Comprehensive datasets that support both the training of universal models and the evaluation of various segmentation techniques are essential for overcoming these limitations and promoting the development of more versatile cell segmentation solutions. Here, we present CellBinDB, a large-scale multimodal annotated dataset established for these purposes. CellBinDB contains more than 1,000 annotated images, each labeled to identify the boundaries of cells or nuclei, including 4,6-Diamidino-2-Phenylindole (DAPI), Single-stranded DNA (ssDNA), Hematoxylin and Eosin (H&E), and Multiplex Immunofluorescence (mIF) staining, covering over 30 normal and diseased tissue types from human and mouse samples. Based on CellBinDB, we benchmarked seven state-of-the-art and widely used cell segmentation technologies/methods, and further analyzed the effects of four cell morphology indicators and image gradient on the segmentation results.

cell biology↗