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Fan, Z.

Publications and source records attributed to Fan, Z..

At least 91 records · Page 5Linked to original sources

Accurate and efficient protein sequence designthrough learning concise local environment of residues

Protein sequence design has been widely applied in rational protein engineering and increasing the design accuracy and efficiency is highly desired. Here we present ProDESIGN-LE, an accurate and efficient design approach, which adopts a concise but informative representation of residues local environment and trains a transformer to select an appropriate residue at a position from its local environment. ProDESIGN-LE iteratively applies the transformer on the positions in the target structure, eventually acquiring a designed sequence with all residues fitting well with their local environments. ProDESIGN-LE designed sequences for 68 naturally occurring and 129 hallucinated proteins within 20 seconds per protein on average, and the predicted structures from the designed sequences perfectly resemble the target structures with state-of-the-art average TM-score exceeding 0.80. We further experimentally validated ProDESIGN-LE by designing five sequences for an enzyme, chloramphenicol O-acetyltransferase type III (CAT III), and recombinantly expressing the proteins in E. coli. Of these proteins, three exhibited excellent solubility, and one yielded monomeric species with circular dichroism spectra consistent with the natural CAT III protein.

bioinformatics↗

Distinct roles of Nrf1 and Nrf2 in monitoring the reductive stress response to dithiothreitol (DTT)

Transcription factor Nrf2 (nuclear factor, erythroid 2-like 2, encoded by Nfe2l2) has been accepted as a key player in redox regulatory responses to oxidative or reductive stresses. However, it is less or not known about the potential role for Nrf1 (nuclear factor, erythroid 2-like 1, encoded by Nfe2l1) in the redox responses, particularly to reductive stress, albeit this fossil-like factor is indispensable for cell homeostasis and organ integrity during life process. Here, we examine distinct roles of Nrf1 and Nrf2 in monitoring the defense response to 1,4-dithiothreitol (DTT, serving as a reductive stressor), concomitantly with unfolded protein response being induced by this chemical (also as an endoplasmic reticulum stressor). The results revealed that intracellular reactive oxygen species (ROS) were modestly increased in DTT-treated wild-type (WT) and Nrf1-/- cell lines, but almost unaltered in Nrf2-/-{Delta}TA or caNrf2{Delta}N cell lines (with a genetic loss of its transactivation or N-terminal Keap1-binding domains, respectively). This chemical treatment also enabled the rate of oxidized to reduced glutathione (i.e., GSSG to GSH) to be amplified in WT and Nrf2-/-{Delta}TA cells, but diminished in Nrf1-/- cells, along with no changes in caNrf2{Delta}N cells. Consequently, Nrf1-/-, but not Nrf2-/-{Delta}TA or caNrf2{Delta}N, cell viability was reinforced by DTT against its cytotoxicity, as accompanied by decreased apoptosis. Further experiments unraveled that Nrf1 and Nrf2 differentially, and also synergistically, regulated DTT-inducible expression of critical genes for defending redox stress and endoplasmic reticulum stress. In addition, we have also identified that Cys342 and Cys640 of Nrf1 (as redox-sensing sites within its N-glycodomain and DNA-binding domain, respectively) are required for its protein stability and transcription activity.

cell biology↗

Real-time imaging of mitochondrial redox reveals increased mitochondrial oxidative stress associated with amyloid beta aggregates in vivo in a mouse model of Alzheimer's disease

BackgroundReactive oxidative stress is a critical player in the amyloid beta (A{beta}) toxicity that contributes to neurodegeneration in Alzheimers disease (AD). Mitochondrial damage, observed in AD, is one of the main sources of reactive oxygen species. Although A{beta} causes neuronal mitochondria-associated reactive oxidative stress in vitro, this has never been directly observed in the in vivo living brain. Here, we tested whether A{beta} plaques and soluble oligomers induce mitochondrial oxidative stress in surrounding neurons in vivo, and whether the neurotoxic effect can be abrogated using mitochondrial-targeted antioxidants. MethodsWe expressed a genetically encoded fluorescent ratiometric mitochondria-targeted reporter of oxidative stress in mouse models of the disease, and performed intravital multiphoton microscopy of neuronal mitochondria and A{beta} plaques. ResultsFor the first time, we demonstrated by direct observation exacerbated mitochondrial oxidative stress in neurons after both A{beta} plaque deposition and direct application of soluble oligomeric A{beta} onto the brain, and determined the most likely pathological sequence of events leading to oxidative stress in vivo. Oxidative stress could be inhibited by both blocking calcium influx into mitochondria and treating with the mitochondria-targeted antioxidant SS31. ConclusionsConsidering these results, mitochondria-targeted compounds hold promise as neuroprotective drugs for the prevention and/or treatment of AD.

neuroscience↗

The Integrative Studies on the Functional A-to-I RNA Editing Events in Human Cancers

A-to-I RNA editing, constituting nearly 90% of all RNA editing events in human, has been reported to contribute to the tumorigenesis in diverse cancers. However, the comprehensive map for functional A-to-I RNA editing events in cancers is still insufficient. To fill this gap, we systematically and intensively analyzed multiple tumorigenic mechanisms of A-to-I RNA editing events in samples across 33 cancer types from The Cancer Genome Atlas. For individual candidate among ~ 1.5M quantified RNA editing events, we performed diverse types of down-stream functional annotations. Finally, we identified 24,236 potentially functional A-to-I RNA editing events, including the cases in APOL1, IGFBP3, GluA2, BLCAP, and miR-589-3p. These events showed significant results and might play crucial roles in the scenarios of tumorigenesis, due to their tumor-related editing frequencies or probable effects on altered expression profiles, protein functions, splicing patterns, and miRNA regulations of tumor genes. Our functional A-to-I RNA editing events (https://ccsm.uth.edu/CAeditome/) will help better understanding of cancer pathology from A-to-I RNA editing aspect.

bioinformatics↗

RNA decay defines the therapeutic response to transcriptional perturbation in cancer

Therapeutic targeting of dysregulated transcriptional programs has arisen as a promising strategy for the treatment of leukaemias. The therapeutic response to small molecule inhibitors of Bromodomain-Containing Proteins (BRD), such as BRD2 and BRD4, P300/cAMP-response element binding protein (CBP) and Cyclin Dependent Kinases (CDKs), is generally attributed to the selective disruption of oncogenic gene expression networks driven by enhancers, super-enhancers (SEs) and lineage-specific transcription factors (TFs), including the c-MYC oncogene. Using technologies such as thiol (SH)-linked alkylation for the metabolic sequencing of RNA sequencing (SLAM-seq) to profile messenger RNA (mRNA) decay and production rates, we demonstrate that gene intrinsic properties largely govern the selectivity associated with transcriptional inhibition, where total mRNA response signatures are dominated with genes that have short transcript half-lives, including those regulated by SEs and oncogenic TFs. Further highlighting that gene sensitivities only occur in the context of short transcript half-lives, stabilisation of the c-MYC transcript through changes in the 3 UTR rendered it insensitive to transcriptional targeting. However, this was not sufficient to rescue c-MYC target gene transcription and anti-leukaemia effects following transcriptional inhibition. Importantly, long-lived mRNAs encoding essential genes that evade transcriptional targeting can be rendered sensitive via modulation of mRNA decay kinetics through inhibition of the RNA Binding Protein (RBP), ELAV Like RNA binding protein 1 (ELAVL1)/ Human Antigen R (HuR). Taken together, these data demonstrate that mRNA decay shapes the therapeutic response to transcriptional perturbation and can be modulated for novel therapeutic outcomes using transcriptional agents in leukaemia.

cancer biology↗

A CRISPR-based instant DNA repositioning system and the early intranuclear life of HSV-1

The intranuclear localization of viral DNA genomes in relation to the intranuclear environment plays critical roles in determining virus fate. Recent advances in the application of chromosome conformation capture-based sequencing analysis (3C technologies) have revealed valuable aspects of the spatiotemporal interplay of viral genomes with host chromosomes. However, to elucidate the causal relationship between the subnuclear localization of viral genomes and the pathogenic outcome of the infection, manipulative tools are needed. Instant repositioning of viral DNAs to specific subnuclear compartments amid infection is a powerful approach to synchronize and interrogate this dynamically changing process in space and time. Herein, we report an inducible CRISPR-based two-component platform that relocates extrachromosomal DNA pieces (5 kb to 170 kb) to the nuclear periphery instantly (CRISPR-nuPin). Based on this system, investigations of herpes simplex virus 1 (HSV-1), a prototype member of the human herpesvirus family, revealed unprecedently reported insights into the early intranuclear life of the pathogen: I) Viral genomes tethered to the nuclear periphery upon entry, compared with those in the nuclear interior, were wrapped around histones with increased suppressive modifications and subjected to stronger transcriptional silencing and prominent inhibition. II) Relocating HSV-1 genomes at 1 hour post infection significantly promoted transcription of viral {beta} and {gamma} genes, termed an "Escaping" effect. III) Early accumulation of ICP0 was a sufficient but not necessary condition mediating "Escaping". IV) Subnuclear localization was only critical during early infection. Importantly, the CRISPR-nuPin tactic should be widely applicable to many DNA viruses. SummaryThe intranuclear localization of viral DNA genomes plays a critical role in determining virus fate. To elucidate the causal relationship between subnuclear localization and the pathogenic outcome of DNA viruses, manipulative tools are needed. Herein, we report an inducible CRISPR-based two-component platform that relocates DNA pieces (5 kb to 170 kb) to the nuclear periphery instantly (CRISPR-nuPin). Utilizing this tactic, we interrogated the early intranuclear life of herpes simplex virus 1 (HSV-1), a prototype of human herpesviruses, in space and time and revealed that I) viral genomes tethered to the nuclear edge upon entry were prone to suppressive histone packaging and severe inhibition. II) Relocating HSV-1 genomes to the nuclear fringe at 1 hour post infection promoted transcription of viral genes ("Escaping"). III) Early accumulation of ICP0 was a sufficient but not necessary condition mediating "Escaping". IV) Subnuclear localization was a critical factor only during early infection. HighlightsO_LICRISPR-nuPin is an inducible two-component DNA repositioning system C_LIO_LIIt mediates instant nuclear edging of viral DNA during infection C_LIO_LIA powerful approach to interrogate DNA viruses in space and time C_LIO_LIViral DNA at the nuclear periphery upon entry is strongly silenced C_LI In briefAn inducible two-component CRISPR-based platform that instantly repositions HSV-1 genomes to the nuclear edge unveils intranuclear space heterogeneity for the incoming viral genomes and dynamic stages of the host-virus interplay during early infection of the pathogen.

microbiology↗

Drug design and repurposing with a sequence-to-drug paradigm

Drug development based on target proteins has been a successful approach in recent decades. A conventional structure-based drug design pipeline is a complex, human-engineered pipeline with multiple independently optimized steps. Advances in end-to-end differentiable learning suggest the potential benefits of similarly reformulating drug design. Here, we proposed a new sequence-to-drug paradigm that discovers drug-like small-molecule modulators directly from protein sequences and validated this concept for the first time in three stages. First, we designed TransformerCPI2.0 as a core tool for the sequence-to-drug paradigm, which exhibited competitive performance with conventional structure-based drug design approaches. Second, we validated the binding knowledge that TransformerCPI2.0 has learned. Third, we applied a sequence-to-drug paradigm to discover new hits for E3 ubiquitin-protein ligases: speckle-type POZ protein (SPOP), ring finger protein 130 (RNF130) which does not have a 3D structure, and repurposed proton pump inhibitors (PPIs) for ADP-ribosylation factor 1 (ARF1). This first proof of concept shows that the sequence-to-drug paradigm is a promising direction for drug development.

molecular biology↗

Dynamics of peripheral blood flow across sleep stages

Study ObjectivesPulse rate variability (PRV) derived from peripheral blood flow has been reported as a surrogate parameter for heart rate variability (HRV). However, there are currently no studies reporting systematic comparisons of PRV with HRV in a normal sleep state. Whether PRV can provide similar information regarding sleep stages remains unclear. Peripheral blood flow may also be modulated differently across sleep stages. Thus, we aimed to investigate blood flow dynamics and compare PRV with HRV across sleep stages to see if blood flow can provide further information about sleep stages. MethodsWe performed electrocardiography and simultaneously measured blood flow from the right index finger and ear concha of 45 healthy participants (13 women; mean age, 22.5 {+/-} 3.4 years) during one night of sleep. Time-domain, frequency-domain, and non-linear indices of PRV/HRV, and time- and frequencydomain blood flow parameters were calculated. ResultsFinger-PRV results showed similar patterns to HRV results for most parameters. Finger-blood flow parameters in the time and frequency domains also showed information about the different sleep stages. Further, both finger- and ear-blood flow results showed 0.2-0.3 Hz oscillations that varied with sleep stages, with a significant increase in N3, suggesting a modulation (of respiration) within this frequency band. ConclusionsThese results suggest that PRV can provide as much information as HRV for different sleep stages. Furthermore, the results show that blood flow + PRV could be more advantageous than HRV alone in the assessment of the sleep state and related autonomic nervous activity. Statement of SignificanceThe research provides comprehensive information on peripheral blood flow (BF) activity across sleep stages for the first time, as the major novelty of our work. The second contribution is a systematic study comparing BF-derived pulse rate variability (PRV) with heart rate variability across sleep stages in a normal sleep state. We believe that our work makes a significant contribution to the literature because it provides comprehensive information on the potential of BF+PRV as a new biomarker for assessing the sleep state. Further, this study contributes to developing a more convenient method of assessing the sleep state in the clinical and home/work setting.

physiology↗

Dissecting tumor cell programs through group biology estimation in clinical single-cell transcriptomics

Given the growing number of clinically integrated cancer single-cell transcriptomic studies, robust differential enrichment methods for gene signatures to dissect tumor cellular states for discovery and translation are critical. Current analysis strategies neither adequately represent the hierarchical structure of clinical single-cell transcriptomic datasets nor account for the variability in the number of recovered cells per sample, leading to results potentially confounded by sample-driven biology with high false positives instead of accurately representing true differential enrichment of group-level biology (e.g., treatment responders vs. non-responders). This problem is especially prominent for single-cell analyses of the tumor compartment, because high intra-patient similarity (as opposed to inter-patient similarity) results in stricter hierarchical structured data that confounds enrichment analysis. Furthermore, to identify signatures which are truly representative of the entire group, there is a need to quantify the robustness of otherwise statistically significant signatures to sample exclusion. Here, we present a new nonparametric statistical method, BEANIE, to account for these issues, and demonstrate its utility in two cancer cohorts stratified by clinical groups to reduce biological hypotheses and guide translational investigations. Using BEANIE, we show how the consideration of sample-specific versus group biology greatly decreases the false positive rate and guides identification of robust signatures that can also be corroborated across different cell type compartments.

bioinformatics↗

The connection between Rap1 and Talin1 in CD4+ T Lymphocytes

Agonist induced increase in integrin affinity for ligands (activation) plays a pivotal role in T cell trafficking and functions. Activation requires Rap1 GTPase-mediated recruitment of talin1 to the integrins in the plasma membrane. Rap1-interacting adaptor molecule (RIAM) is a Rap1 effector that serves this function in T cells. In addition, Rap1 directly binds to talin1 to enable integrin activation in platelets. Here, we assessed the relative contributions of the Rap1-talin1 interaction and RIAM and provide a complete accounting of the connections between Rap1 and talin1 that support integrin activation in conventional CD4+ (Tconv) and CD25HiFoxp3+CD4+ regulatory T (Treg) cells. Disruption of both Rap1 binding sites in talin1 (talin1 (R35E,R118E)) causes a partial defect in L{beta}2, 4{beta}1 and 4{beta}7 integrin activation in both Tconv and Treg cells with resulting defects in T cell homing and functions. Over-expression of RIAM bypasses the integrin activation defect in Tconv cells expressing talin1 (R35E,R118E), indicating that RIAM can substitute for Rap1 binding to talin in integrin activation. Conversely, deletion of RIAM in talin1 (R35E,R118E) Tconv cells abrogates activation of L{beta}2, 4{beta}1 and 4{beta}7. RIAM and lamellipodin (LPD) are mammalian members of the MRL protein family; LPD plays a more important role than RIAM in Treg cell integrin activation. Nevertheless, loss of RIAM profoundly exacerbates the defects in Treg cell function caused by the talin1 (R35E,R118E) mutation. Most importantly, deleting both MRL proteins combined with talin1 (R35E,R118E) phenocopies the complete lack of integrin activation observed in Rap1a/b null Treg cells. In sum, these data reveal the functionally significant connections between Rap1 and talin1 that enable L{beta}2, 4{beta}1 and 4{beta}7 integrin activation in T cells.

cell biology↗

Causal inference using deep-learning variable selection identifies and incorporates direct and indirect causalities in complex biological systems

In complex diseases, causal structure learning across biological variables is critical to identify modifiable triggers or potential therapeutic agents. A limitation of existing causal learning methods is that they cannot identify indirect causal relations, those that would interact through latent mediating variables. We developed the first computational method that identifies both direct and indirect causalities, causal inference using deep-learning variable-selection (causalDeepVASE). To accurately identify indirect causalities and incorporate them with direct causalities, causalDeepVASE develops a deep neural network approach and extends a flexible causal inference method. In simulated and biological data of various contexts, causalDeepVASE outperforms existing methods in identifying expected or validated causal relations. Further, causalDeepVASE facilitates a systematic understanding of complex diseases. For example, causalDeepVASE uniquely identified a possible causal relation between IFN{gamma} and creatinine suggested in a polymicrobial sepsis model. In future biomedical studies, causalDeepVASE can facilitate the identification of driver genes and therapeutic agents.

bioinformatics↗

Monitoring the effects of chemical stimuli on live cells with metasurface-enhanced infrared reflection spectroscopy

Infrared spectroscopy has found wide applications in the analysis of biological materials. A more recent development is the use of engineered nanostructures - plasmonic metasurfaces - as substrates for metasurface-enhanced infrared reflection spectroscopy (MEIRS). Here, we demonstrate that strong field enhancement from plasmonic metasurfaces enables the use of MEIRS as a highly informative analytic technique for real-time monitoring of cells. By exposing live cells cultured on a plasmonic metasurface to chemical compounds, we show that MEIRS can be used as a label-free phenotypic assay for detecting multiple cellular responses to external stimuli: changes in cell morphology, adhesion, lipid composition of the cellular membrane, as well as intracellular signaling. Using a focal plane array detection system, we show that MEIRS also enables spectro-chemical imaging at the single-cell level. The described metasurface-based all-optical sensor opens the way to a scalable, high-throughput spectroscopic assay for live cells.

bioengineering↗

Differential yet integral contributions of Nrf1 and Nrf2 in the human antioxidant cytoprotective response against tert-butylhydroquinone as a pro-oxidative stressor

In the past 25 years, Nrf2 had been preferentially parsed as a master hub of regulating antioxidant, detoxification and cytoprotective genes, albeit as a matter of fact that Nrf1, rather than Nrf2, is indispensable for cell homeostasis and organ integrity during normal growth and development. Here, distinct genotypic cell lines (Nrf1-/-, Nrf2-/-{Delta}TA and caNrf2{Delta}N) are employed to determine differential yet integral roles of Nrf1 and Nrf2 in mediating antioxidant responsive genes to tBHQ as a pro-oxidative stressor. In Nrf1-/- cells, Nrf2 was highly accumulated but also cannot fully compensate specific loss of Nrf1s function in its basal cytoprotective response against endogenous oxidative stress, though it exerted partially inducible antioxidant response, as the hormetic effect of tBHQ, against apoptotic damages. By contrast, Nrf2-/-{Delta}TA cells gave rise to a substantial reduction of Nrf1 in both basal and tBHQ-stimulated expression and hence resulted in obvious oxidative stress, but can still be allowed to mediate a potent antioxidant response, as accompanied by a significantly decreased ratio of GSSG to GSH. Conversely, a remarkable increase of Nrf1 expression was resulted from the constitutive active caNrf2{Delta}N cells, which were not manifested with oxidative stress, no matter if it was intervened with tBHQ. Such inter-regulatory effects of Nrf1 and Nrf2 on antioxidant and detoxification genes (encoding HO-1, NQO1, GCLC, GCLM, GSR, GPX1, TALDO, MT1E and MT2), as well on the ROS-scavenging activities of SOD and CAT, were further investigated. The collective results unraveled that Nrf1 and Nrf2 make distinctive yet cooperative contributions to finely tuning basal constitutive and/or tBHQ-inducible expression levels of antioxidant cytoprotective genes in the inter-regulatory networks. Overall, Nrf1 acts as a brake control for Nrf2s functionality to be confined within a certain extent, whilst its transcription is regulated by Nrf2.

cell biology↗

Strawberry sweetness and consumer preference are enhanced by specific volatile compounds

Breeding crops for improved flavor is challenging due to the high cost of sensory evaluation and the difficulty of connecting sensory experience to chemical composition. The main goal of this study was to identify the chemical drivers of sweetness and consumer liking for fresh strawberries (Fragaria xananassa). Fruit of 148 strawberry samples from cultivars and breeding selections were grown and harvested over seven years and were subjected to both sensory and chemical analyses. Each panel consisted of at least 100 consumers, resulting in more than 15,000 sensory data points per descriptor. Three sugars, two acids and 113 volatile compounds were quantified. Consumer liking was highly associated with sweetness intensity, texture liking, and flavor intensity, but not sourness intensity. Partial least square analyses revealed 20 volatile compounds that increased sweetness perception independently of sugars; 18 volatiles that increased liking independently of sugars; and 15 volatile compounds that had positive effects on both. Machine learning-based predictive models including sugars, acids, and volatiles explained at least 25% more variation in sweetness and liking than models accounting for sugars and acids only. Volatile compounds such as {gamma}-dodecalactone; 5-hepten-2-one, 6-methyl; and multiple medium-chain fatty acid esters may serve as targets for breeding or quality control attributes for strawberry products. A genetic association study identified two loci controlling ester production, both on linkage group 6A. Co-segregating makers in these regions can be used for increasing multiple esters simultaneously. This study demonstrates a paradigm for improvement of fruit sweetness and flavor in which consumers drive the identification of the most important chemical targets, which in turn drives the discovery of genetic targets for marker-assisted breeding.

plant biology↗

Transcriptional reprogramming during effector/flg22-triggered immune is independent of defense phytohormone signaling networks

Plants rely on the innate immune system to sense and respond to a wide range of lifestyle pathogens and to facilitate their survival in natural ecosystems. Pathogen-associated molecular patterns (PAMP)-triggered immunity (PTI) and effector-triggered immunity (ETI) are designated as a two-branched system of innate immunity. Although PTI/ETI share a series of downstream molecular events, systematic analysis of convergent and divergent signaling in PTI/ETI is currently lacking. The phytohormones salicylic acid (SA) and jasmonic acid (JA) are considered to constitute the hormonal backbone of plant immunity, are functionally antagonistic, and play essential roles in defending against biotrophic and necrotrophic pathogens, respectively. However, the distinct performance of two phytohormones in PTI/ETI remains unclear. Here, we systemically investigate and validate the reprogramming of molecular networks during PTI and ETI. Using publicly available Arabidopsis RNA sequence data from 560 samples, we construct a co-expression network under Mock conditions and then explore the differential expression/co-expression changes during PTI, ETI, and Pto DC3000 infection. During PTI and ETI, one-third of genes in the Arabidopsis genome exhibit the same directional differential expression in a manner independent of JA/ethylene/PAD4/SA signaling but show differential co-expression patterns. However, the defense phytohormone network is required for defense against Pto DC3000 infection. We also exhibit the use of this network in prioritizing genes that functioned closely with the proteins directly targeted by elicitors. Overall, this study will deepen our understanding of plant transcriptome in plant immunity and provide new insights into the mode of action of elicitors.

bioinformatics↗

An Industrial-Grade Brain Imaging-Based Deep Learning Classifier

Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimers disease (AD), based on magnetic resonance imaging (MRI). Many machine learning algorithms to detect AD have been trained using limited training data, meaning they often generalize poorly when applied to scans from previously unseen populations. Therefore, we built a practical brain MRI-based AD diagnostic classifier using deep learning/transfer learning on a dataset of unprecedented size and diversity. A retrospective MRI dataset pooled from more than 217 sites/scanners constituted one of the largest brain MRI samples to date (85,721 scans from 50,876 participants) between January 2017 and August 2021. Next, a state-of-the-art deep convolutional neural network, Inception-ResNet-V2, was built as a sex classifier with high generalization capability. The sex classifier achieved 94.9% accuracy and served as a base model in transfer learning for the objective diagnosis of AD. After transfer learning, the model fine-tuned for AD classification achieved 90.9% accuracy in leave-sites-out cross-validation on the Alzheimers Disease Neuroimaging Initiative (ADNI, 6,857 samples) dataset and 94.5%/93.6%/91.1% accuracy for direct tests on three unseen independent datasets (AIBL, 669 samples / MIRIAD, 644 samples / OASIS, 1,123 samples). When this AD classifier was tested on brain images from unseen mild cognitive impairment (MCI) patients, MCI patients who converted to AD were 3 times more likely to be predicted as AD than MCI patients who did not convert (65.2% vs 20.6%). Predicted scores from the AD classifier showed significant correlations with illness severity. In sum, the proposed AD classifier offers a medical-grade marker that has potential to be integrated into AD diagnostic practice.

neuroscience↗

Identifying genes and cell types with dynamic alternative polyadenylation in multi-cluster single-cell transcriptomics data

Alternative polyadenylation (APA) causes shortening or lengthening of the 3-untranslated region (3-UTR) of genes across multiple cell types. Bioinformatic tools have been developed to identify genes that are affected by APA (APA genes) in single-cell RNA-Seq (scRNA-Seq) data. However, they suffer from low power, and they cannot identify APA genes specific to each cell type (cell-type-specific APA) when multiple cell types are analyzed. To address these limitations, we developed scMAPA that systematically integrates two novel steps. First, scMAPA quantifies 3-UTR long and short isoforms without requiring assumptions on the read density shape of input data. Second, scMAPA estimates the significance of the APA genes for each cell type while controlling confounders. In the analyses on our novel simulation data and human peripheral blood mono cellular data, scMAPA showed enhanced power in identifying APA genes. Further, in mouse brain data, scMAPA identifies cell-type-specific APA genes, improving interpretability for the cell-type-specific function of APA. We further showed that this improved interpretability helps to understand a novel role of APA on the interaction between neurons and blood vessels, which is critical to maintaining the operational condition of brains. With high sensitivity and interpretability, scMAPA shed novel insights into the function of dynamic APA in complex tissues. Key PointsO_LIWe developed a bioinformatic tool, scMAPA, that identifies dynamic APA across multiple cell types and a novel simulation pipeline to assess performance of such tools in APA calling. C_LIO_LIIn simulation data of various scenarios from our novel simulation pipeline, scMAPA achieves sensitivity with a minimal loss of specificity. C_LIO_LIIn human peripheral blood monocellular data, scMAPA identifies APA genes accurately and robustly, finding unique associations of APA with hematological processes. C_LIO_LIscMAPA identifies APA genes specific to each cell type in mouse brain data while controlling confounders that sheds novel insights into the complex molecular processes. C_LI

bioinformatics↗

Adaptive modification of lipid droplets mediated by Plin1 functions in infection-induced pathogenesis in Drosophila

Lipid droplets (LDs) are dynamic intracellular organelles critical for lipid metabolism. Dynamic alterations in the configurations and functions of LDs during innate immune response to bacterial infections and the underlying mechanisms however, remain largely unknown. Herein, we trace the time-course morphology of LDs in fat bodies of Drosophila after transient bacterial infection. Detailed analysis shows that perilipin1 (plin1), a core gene regulating lipid metabolism of LDs is suppressed by IMD/Relish, an innate immune signaling. During immune activation, downregulated plin1 promotes the enlargement of LDs, which in turn alleviates immune reaction-associated reactive oxygen species (ROS) stress. Thus, the growth of LDs is likely an active adaptation to maintain redox homeostasis in response to IMD activation. Therefore, our study provides evidence that plin1 serves as a modulator on LDs reconfiguration in regulating infection-induced pathogenesis, and Plin1 might be a potential therapeutic target for coordinating inflammation resolution and lipid metabolism.

immunology↗