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Biology subjects

Islam, M. T.

Publications and source records attributed to Islam, M. T..

At least 19 recordsLinked to original sources

Human ancestors interbred with two distinct populations of distant relatives

Ancient DNA has shown that a distantly-related "superarchaic" population interbred first with the ancestors of Neanderthals and Denisovans and later with Denisovans themselves. Other work has shown that a superarchaic population interbred with the African ancestors of all modern humans. But it is not yet clear whether these events involved the same superarchaic population. Here, we use the distribution of derived alleles among populations to evaluate hypotheses about superarchaics and their relationship to other hominins of the Pleistocene and Holocene. We find evidence for at least two distinct superarchaic populations. The one contributing to archaic Eurasian populations (Denisovans and Neanderthal-Denisovan ancestors) diverged earlier from the human lineage than did the one contributing to early moderns in Africa. This latter superarchaic contributed a large fraction--about 20%--to the ancestry of modern humans. These findings reveal previously unrecognized structure among hominin populations in the Pleistocene. Significance statementGenetic data have shown that all human populations are mixtures. Since the last ice age, the populations mixing have been relatively close relatives--separated by a few tens of thousands of years or less. Earlier in the Pleistocene, there was mixing between more distantly-related populations, with separation times in excess of a million years. Here, we document admixture events involving two distinct populations, each of which had separated from the human lineage well over a million years ago. One of these was apparently Eurasian, because it mixed with archaic Eurasian populations. The other was apparently African, because it mixed with the African ancestors of modern humans. This latter event was remarkable, because the distant relative contributed such a large fraction--about 20%--to the ancestry of modern humans. These results show that during the Pleistocene, the earth was home to hominin populations far more distantly related than any pair of modern human populations, with separation times similar to that of bonobos and chimpanzees. These distantly-related pairs existed not only on separate continents, but also within the African continent. And in spite of the large differences between them, these populations were able to interbreed.

evolutionary biology↗

3-Methylpentanoic acid from Bacillus safensis suppresses wheat blast disease by targeting UDP-glucose 4-epimerase

Wheat blast, caused by Magnaporthe oryzae Triticum (MoT), is a devastating disease threatening global food security. Current reliance on chemical fungicides is unreliable due to the development of resistant MoT populations, highlighting the need for safe and eco-friendly alternatives. Naturally occurring volatile organic compounds (VOCs) possess potent antifungal potential thereby inhibiting phytopathogen. In this study, we investigated the fungicidal potential of 3-methylpentanoic acid (3-MP), a VOC produced by Bacillus safensis and also found in snake-fruit aroma, on MoT pathogen. In vitro assays revealed dose-dependent inhibition of MoT mycelial growth, conidiogenesis, conidial germination, and appressorium formation, with complete suppression achieved at 100-125 {micro}M. Detached leaf, seedling, and spike assays demonstrated robust preventive and curative protection, highlighting translational potential under field conditions. Mechanistic investigations showed that 3-MP compromises membrane integrity, as confirmed by fluorescein diacetate staining, and targets UDP-glucose 4-epimerase (UGE), a key enzyme required for galactose metabolism and cell wall integrity in fungi. Molecular dynamics simulations revealed stable binding of 3-MP within the NAD-associated Rossmann fold of UGE, sterically blocking substrate access and perturbing NAD orientation. RT-PCR gene expression analysis corroborated this model, showing early induction followed by repression of UGE expression, consistent with collapse of UDP-glucose metabolism and impaired cell wall biosynthesis. This study for the first time identified 3-MP as a natural inhibitor of UGE and provided new insight into the antifungal mechanism of the compound, highlighting its potential for integrated wheat blast management. ImportanceWheat blast, caused by Magnaporthe oryzae Triticum (MoT), poses a catastrophic threat to global food security, particularly in South America, Africa, and South Asia. With MoT rapidly developing resistance to conventional chemical fungicides, there is an urgent need for sustainable, eco-friendly alternatives. Our study identifies 3-methylpentanoic acid (3-MP), a volatile organic compound produced by Bacillus safensis, as a potent antifungal agent against MoT. We demonstrate that 3-MP inhibits multiple life stages of the pathogen, including mycelial growth, conidiation, and appressorium formation. Furthermore, we provide molecular insights through molecular docking and MD simulations, identifying UDP-glucose 4-epimerase as a likely target of 3-MP. By revealing a dual-action (preventive and curative) natural compound and its potential mechanism, this work offers a promising blueprint for developing bio-based fungicides to combat devastating plant diseases while reducing the environmental footprint of agriculture.

microbiology↗

In vivo evidence for bleb-induced survival signaling in metastatic melanoma

Bleb signaling is a cellular process in which pressure-driven plasma membrane protrusions generate localized micron-scale membrane curvature that recruits cytosolic septin complexes, assembling signaling hubs that promote cell survival1. Our prior work showed that this morphology-encoded signaling pathway is necessary to sustain anchorage-independent survival of BRAF and NRAS mutant melanoma cells in vitro. However, whether bleb-induced signaling occurs in vivo and contributes to cancer progression is unclear. Here, we develop complementary in vivo and ex vivo assays spanning human patient samples and mouse xenograft models to mechanistically interrogate bleb signaling directly in physiologic contexts. We observe that bleb-associated septin hubs are exclusively formed in poorly adherent amoeboid tumor cells at the invasive margin, within malignant effusions, and at distant metastatic sites, while well-adhered cells in the tumor interior show no signs of septin hub formation. Accordingly, pharmacological pathway disruption specifically kills disseminated tumor cells within these low-adhesion microenvironments while having no appreciable effect on adhered cells in the tumor interior, resulting in reduced metastatic burden and delayed disease recurrence in vivo. This work confirms septin-mediated bleb signaling as a previously unrecognized vulnerability of disseminated cancer cells and demonstrates that this morphology-encoded pathway operates in vivo to support disease progression, preserving cancer cell viability under conditions in which cell survival signals from the environment are muted. These findings suggest novel opportunities to target survival signaling in micrometastatic disseminated cancer cells. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/697601v1_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@1770384org.highwire.dtl.DTLVardef@87e567org.highwire.dtl.DTLVardef@1e5d6b2org.highwire.dtl.DTLVardef@724c5f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Evolution of HMA-integrated tandem kinases accompanied by expansion of target pathogens

Tandem kinase proteins (TKPs) are an emerging family of plant intracellular immune receptors that offer potential for developing novel disease resistance. We cloned Rmo2 and Rwt7, genes for resistance to the blast fungus, from barley and wheat, respectively, and discovered that they are orthologs encoding TKPs with an integrated N-terminal heavy metal-associated (HMA) domain. Rmo2 was collocated with Rpg1, a TKP gene for resistance to stem rust, while Rwt7 was collocated with WTK4, a TKP gene for resistance to powdery mildew. Domain swapping suggested that the HMA domain determines target effector specificity of these genes. We propose a model illustrating an evolutionary process in which a TKP gene has differentiated into paralogs and orthologs that recognize various effectors through diversification of their HMA domains.

plant biology↗

Neutrophil Transcriptomics in SLE: Exploring Intrinsic, Ex Vivo Adaptation, and CAR T-Cell Therapy-Induced Changes

ObjectivesSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by dysregulation of the adaptive and innate immunityThis study aimed to identify transcriptomic differences in neutrophils from SLE patients and healthy individuals, analyze ex vivo adaptation dynamics, and evaluate the impact of chimeric antigen receptor (CAR) T-cell therapy on neutrophil transcriptomic profiles. MethodsNeutrophils were isolated via negative selection from seven SLE patients and three healthy individuals. RNA sequencing was performed to assess transcriptomic differences, ex vivo dynamics over 60 minutes, and responses to lipopolysaccharide (LPS) stimulation. Additionally, longitudinal transcriptomic data from an SLE patient undergoing KYV-101 anti-CD19 CAR T-cell therapy were evaluated. ResultsWe identified 258 differentially expressed genes (DEGs) consistently distinguishing SLE from healthy neutrophils; they spanned multiple clusters, enriched in interferon-related and DNA damage repair genes (upregulated), and ribosomal protein genes (downregulated). Ex vivo adaptation revealed shared activation pathways, such as NF-{kappa}B and apoptosis, in both groups. LPS stimulation highlighted overlapping inflammatory responses, demonstrating retained functional capacities in SLE neutrophils. Following CAR T-cell therapy of an SLE patient,neutrophil transcriptomic profiles realigned with healthy controls by three months post-treatment. ConclusionsNeutrophils in SLE exhibit intrinsic, disease-specific transcriptomic alterations while sharing ex vivo adaptation dynamics with healthy individuals. The disease-specific alterations appear to be modifiable through targeted therapeutic intervention, as anti-CD19 CAR T-cell therapy resets neutrophil gene expression toward healthy patterns despite targeting B cells rather than neutrophils directly. These findings provide insights into SLE pathogenesis and highlight potential therapeutic strategies targeting both adaptive and innate immunity.

immunology↗

Modeling tissue-resident macrophage development from mouse pluripotent stem cells

Tissue-resident macrophages (TRMs) are innate immune cells that participate in tissue development, homeostasis, and immune surveillance. Extensive efforts have been made to recapitulate TRM development from pluripotent stem cells (PSCs) in vitro to study molecular and cellular mechanisms of TRM development and to create cellular models of disease. However, available PSC models of mouse TRM development exhibit low overall efficiencies of TRM generation, produce heterogeneous off-target populations, and rely upon undefined media components, thus limiting their reproducibility, scalability, and widespread application as an experimental platform for TRM biology. To address these important limitations, we developed an efficient and reproducible protocol to faithfully recapitulate the stepwise differentiation of mouse PSCs (epiblast stem cells) into unspecialized, proliferative TRMs through the pro-definitive hematopoietic program under defined conditions. These immature TRMs can stably integrate into developing mouse neural organoids in vitro and acquire features of microglia. In addition, PSC-derived immature TRMs can stably engraft into the lung niche in vivo and adopt alveolar macrophage characteristics. This new platform for modeling mouse TRM development represents a powerful experimental model system for studying TRM function and dysfunction in development and disease.

developmental biology↗

Capturing dynamic phage-pathogen coevolution by clinical surveillance

Bacteria harness diverse defense systems that protect against phage predation1, many of which are encoded on horizontally transmitted mobile genetic elements (MGEs)2. In turn, phages evolve counter-defenses3, driving a dynamic arms race that remains underexplored in human disease contexts. For the diarrheal pathogen Vibrio cholerae, a higher burden of its lytic phage, ICP1, in patient stool correlates with reduced disease severity4. However, direct molecular evidence of phage-driven selection of epidemic V. cholerae has not been demonstrated. Here, through clinical surveillance in cholera-endemic Bangladesh, we capture the acquisition of a parasitic anti-phage MGE, PLE11, that initiated a selective sweep coinciding with the largest cholera outbreak in recent records. PLE11 exhibited potent anti-phage activity against co-circulating ICP1, explaining its rapid and dominating emergence. We identify PLE11-encoded Rta as the novel defense responsible and provide evidence that Rta restricts phage tail assembly. Using experimental evolution, we predict phage counteradaptations against PLE11 and document the eventual emergence and selection of ICP1 that achieves a convergent evolutionary outcome. By probing how PLEs hijack phage structural proteins to drive their horizontal transmission while simultaneously restricting phage tail assembly, we discover that PLEs manipulate tail assembly to construct chimeric tails comprised of MGE and phage-encoded proteins. Collectively, our findings reveal the molecular basis of the natural selection of a globally significant pathogen and its virus in a clinically relevant context.

microbiology↗

Feature-Driven Whole-Tissue Imaging with Subcellular Resolution

Understanding how subcellular structures and events shape tissue-wide phenomena remains a central challenge in biology. We present Multiscale Cleared Tissue Axially Swept Light-Sheet Microscopy (MCT-ASLM), a platform combining cm-scale imaging with targeted high-resolution interrogation of intact tissues in human-guided or autonomous modes. Capable of capturing fields of view up to 21 mm at micron-scale resolution, MCT-ASLM can seamlessly transition to submicron (~300 nm) isotropic resolution for targeted imaging. This versatility enables comprehensive studies of hierarchical organization and spatially complex processes, including mapping neuronal circuits in rat brains, visualizing glomerular innervation in mouse kidneys, and examining metastatic tumor microenvironments. By bridging subcellular to tissue-level scales, MCT-ASLM offers a powerful method for unraveling how local events contribute to global biological phenomena.

biophysics↗

A mouse organoid platform for modeling cerebral cortex development and cis-regulatory evolution in vitro

Natural selection has shaped the gene regulatory networks that orchestrate the development of the neocortex, leading to diverse neocortical structure and function across mammals, but the molecular and cellular mechanisms driving phenotypic changes have proven difficult to characterize. Here, we develop a reproducible protocol to generate neocortical organoids from mouse epiblast stem cells (EpiSCs) that gives rise to diverse cortical cell types, including distinct classes of excitatory neurons (pre-plate, deep-layer, and upper-layer) and glia (oligodendrocyte precursor cells, myelinating oligodendrocytes, astrocytes, ependymal cells). Cortical organoids develop with similar kinetics to the mouse cortex in vivo and begin to exhibit features of maturation in glia and neuronal cell types relatively rapidly compared to human brain organoids. Using this new protocol, we generated cortical organoids from F1 hybrid EpiSCs derived from crosses between standard laboratory mice (C57BL/6J) and four wild-derived mouse strains from distinct sub-species spanning [~]1M years of evolutionary divergence. This allowed us to comprehensively map cis-acting transcriptional regulatory variation across developing cortical cell types using scRNA-seq. We identify hundreds of genes that exhibit dynamic allelic imbalances during cortical neurogenesis, providing the first insight into the developmental mechanisms underpinning changes in cortical structure and function between mouse strains. These experimental methods and cellular resources represent a powerful new platform for investigating mechanisms of gene regulation in the developing cerebral cortex.

developmental biology↗

Infected grapevines are poor hosts but can serve as source of pathogen transmission for SLF

The potential of the invasive spotted lanternfly (Lycorma delicatula White; SLF) to serve as vector of plant pathogens is especially a concern for grapevine growers, as SLF are known to invade and can heavily infest vineyards, where the insects may encounter grapevines with multiple diseases. In this study, we have found that, when given the choice, SLF preferentially fed on healthy vines and that, when forced, feeding on Pierces disease (PD)-infected vines had negative effects on nymph development. Upon transmission trials, most of the recipient vines showed scorching symptoms typical of PD and one of the recipient vines resulted positive by qPCR. Our study suggests that SLF could be a vector of PD, however further experiments are needed to determine if transmission would occur under field conditions.

plant biology↗

A general algorithm for consensus 3D cell segmentation from 2D segmented stacks

Cell segmentation is the foundation of a wide range of microscopy-based biological studies. Deep learning has revolutionized 2D cell segmentation, enabling generalized solutions across cell types and imaging modalities. This has been driven by the ease of scaling up image acquisition, annotation, and computation. However, 3D cell segmentation, requiring dense annotation of 2D slices still poses significant challenges. Manual labeling of 3D cells to train broadly applicable segmentation models is prohibitive. Even in high- contrast images annotation is ambiguous and time-consuming. Here we develop a theory and toolbox, u- Segment3D, for 2D-to-3D segmentation, compatible with any 2D method generating pixel-based instance cell masks. u-Segment3D translates and enhances 2D instance segmentations to a 3D consensus instance segmentation without training data, as demonstrated on 11 real-life datasets, >70,000 cells, spanning single cells, cell aggregates, and tissue. Moreover, u-Segment3D is competitive with native 3D segmentation, even exceeding when cells are crowded and have complex morphologies.

bioinformatics↗

Functionally distinct subdomains of dopamine in the hippocampus

Numerous studies have identified dopamine signaling in the hippocampus as necessary for certain types of learning and memory. Since dopamine in the striatum is strongly tied to rewards, dopamine in the hippocampus is thought to reinforce reward learning. Despite the critical influence of dopamine on hippocampal function, little is known about dopamine release in the hippocampus or the specific ways dopamine can influence hippocampal function. Based on the functional complexity of hippocampal circuitry, we hypothesized the existence of multiple dopamine signaling domains. Using optical dopamine sensors, two-photon imaging, and head-fixed behaviors, we identified two functionally and spatially distinct dopamine domains in the hippocampus. The "superficial" domain (cell somata and apical dendrites) showed reward-related dopamine transients early in Pavlovian conditioning but were replaced by "deep" domain transients (basal dendritic layer) with experience. These two domains also play distinct roles in a hippocampal-dependent, goal-directed virtual reality task where mice use exploratory licks to discover the location of a hidden reward zone. Here, positive dopamine ramps appeared in the superficial domain as mice approached the reward zone, similar to those seen in the striatum. At the same time, the deep domain showed strong reward-related transients. These results reveal small-scale, anatomically segregated, dopamine domains in the hippocampus. Furthermore dopamine domain activity had temporal-specificity for different phases of behavior. Finally, the subcellular scale of dopamine domains suggests specialized postsynaptic pathways for processing and integrating functionally distinct dopaminergic influences.

neuroscience↗

Genome Mining of Salinispora Uncovers a Repertoire of Secondary Metabolites and Carbohydrate-Active Enzymes

Natural products derived from microorganisms are a significant part of the pharmaceutical industrys arsenal today. These efforts have increasingly centred on marine microbes, which have produced a variety of intriguing novel chemicals. Marine-derived strains are likely candidates for natural product discovery since actinomycetes are a significant source of microbially produced natural compounds. The availability of microbial genome sequencing has revealed a number of natural products (NPs) that have not yet been thoroughly investigated. The genome mining potential of the genus Salinispora, which has potential for the production of secondary metabolites of clinical importance, remains unexplored. In this study, we have demonstrated a thorough comprehension of the genetic characteristics, biosynthetic gene clusters (BGCs), and genetic clusters for carbohydrate-active enzymes found in the Salinispora genomes. In our analysis, we have identified 686 BGCs, among which 3.79% are identical to the BGCs that produce ketomemicin B3/ketomemicin B4, salinilactam, lymphostin/neolymphostinol B/lymphostinol/neolymphostin B, benzastatin, and thiolactomycin. We have found 19.5% of the BGCs, which are only present in the genomes of Salinispora and may open the door to the development of novel drugs. We have also found a total of 3604 genes in 62 various categories of the six major carbohydrate-active enzymes. The development of new-generation bioactive compounds that are significant for biotechnology relies heavily on the scientific insights provided by genome mining in this genus.

bioinformatics↗

Small RNA Analysis of Virus-virus Interaction between Two Orthotospoviruses

Mixed infections of plant viruses are commonly found in natural patho-systems and pre-sent a valuable opportunity to understand how multiple viruses can co-infect the same host. Tomato spotted wilt orthotospovirus (TSWV) and impatiens necrotic spot orthotospovirus (INSV) are pre-sent in the same geographic areas and are closely related. More mixed infections of TSWV and INSV have been reported in recent years, and the INSV host range has been reported to be increasing. In a previous study, we have isolated one strain of INSV and one of TSWV and showed that they have an antagonistic relationship in their vectors, but we were unable to determine, the underlying mech-anisms governing their antagonism in planta and the contribution of the host to this. Here, we used small RNA sequencing to study TSWV-INSV antagonistic interaction and showed that INSV alters plant responses and the processing of TSWV.

plant biology↗

Temporal Changes in The Proanthocyanidins to Anthocyanins Ratio During Dormancy Associate with Bloom Time Variations in Peach

This study provides a thorough exploration of the mechanisms regulating the onset of flowering in peach trees, a process principally governed by bud-dormancy. We applied untargeted metabolomics combined with a comprehensive series of molecular and biochemical experiments to scrutinize the variations in bloom times among different peach cultivars. The impact of exogenous chemical stimuli, specifically ethephon (ET) and abscisic acid (ABA), on bloom times was also evaluated. Our study revealed that the ET-induced delay in bloom time was associated with higher levels of proanthocyanidin (PA) compared to anthocyanins (ACNs) during endodormancy. Furthermore, fluctuations in the PA/ACNs ratio during dormancy demonstrated a strong correlation with the chill requirements and bloom dates of 12 distinct peach genotypes. The research further uncovers the crucial role of ABA in regulating the biosynthesis of PAs and ACNs during peach tree dormancy. Intriguingly, the exogenous application of ABA during endodormancy resulted in a reduction of PA content, leading to an earlier bloom time. We also observed variations in DAM gene expression between early- and late-blooming cultivars. The late-blooming cultivars exhibited higher transcript levels of DAM genes, elevated PA levels, and lower ABA levels compared to their early-blooming counterparts. Importantly, our study proposes PAs and ACNs as quantitative marker metabolites for endo- and ecodormancy phases. This innovative finding paves the way for developing more accurate chill and heat requirement models, thereby enabling a more precise understanding and projection of the impacts of global climate change on the phenology of tree fruit species.

developmental biology↗

Endothelial-specific reduction in Arf6 impairs insulin-stimulated vasodilation and skeletal muscle blood flow resulting in systemic insulin resistance

BackgroundMuch of what we know about insulin resistance is based on studies from metabolically active tissues such as liver, adipose tissue, and skeletal muscle. Emerging evidence suggests that the vascular endothelium plays a crucial role in systemic insulin resistance, however, the underlying mechanisms remain incompletely understood. ADP ribosylation factor 6 (Arf6) is a small GTPase that plays a critical role in endothelial cell (EC) function. Here, we tested the hypothesis that the deletion of endothelial Arf6 will result in systemic insulin resistance. MethodsWe used mouse models of constitutive EC-specific Arf6 deletion (Arf6f/- Tie2Cre) and tamoxifen inducible Arf6 knockout (Arf6f/f Cdh5Cre). Endothelium-dependent vasodilation was assessed using pressure myography. Metabolic function was assessed using a battery of metabolic assessments including glucose- and insulin-tolerance tests and hyperinsulinemic-euglycemic clamps. A fluorescence microsphere-based technique was used to measure tissue blood flow. Intravital microscopy was used to assess skeletal muscle capillary density. ResultsEndothelial Arf6 deletion impaired insulin-stimulated vasodilation in white adipose tissue (WAT) and skeletal muscle feed arteries. The impairment in vasodilation was primarily due to attenuated insulin-stimulated nitric oxide (NO) bioavailability but independent of altered acetylcholine- or sodium nitroprusside-mediated vasodilation. In vitro Arf6 inhibition resulted in suppressed insulin stimulated phosphorylation of Akt and endothelial NO synthase. Endothelial cell-specific deletion of Arf6 also resulted in systematic insulin resistance in normal chow fed mice and glucose intolerance in high fat diet fed obese mice. The underlying mechanisms of glucose intolerance were reductions in insulin-stimulated blood flow and glucose uptake in the skeletal muscle and were independent of changes in capillary density or vascular permeability. ConclusionResults from this study support the conclusion that endothelial Arf6 signaling is essential for maintaining insulin sensitivity. Reduced expression of endothelial Arf6 impairs insulin-mediated vasodilation and results in systemic insulin resistance. These results have therapeutic implications for diseases that are associated with endothelial cell dysfunction and insulin resistance such as diabetes.

physiology↗

Structural insights into γH2Ax containing nucleosomes

MDC1 is a key mediator of DNA-damage signaling. When DNA double-strand breaks (DSB) occur, the histone variant H2AX on the nucleosome is phosphorylated on its C-terminus at residue Ser139 to form the {gamma}H2AX nucleosome. This phosphorylated form is specifically recognized by the tandem BRCT repeats of MDC1. The MDC1-bound nucleosome serves as a docking platform to promote the localization of other DNA repair factors. To further characterize the nucleosome-BRCT interaction, we developed a time efficient two-step modified native chemical ligation protocol to prepare phosphorylated nucleosomes. Our binding studies show that BRCT interacts with the nucleosome with a higher affinity than the phosphorylated peptide. Using cryogenic electron microscopy (cryo-EM), we obtained structures of the {gamma}H2AX nucleosome revealing the structural basis for nucleosome-nucleosome stacking promoted by interactions of the H4 N-terminal of one nucleosome with its stacked partner. In contrast, we show that binding of the MDC1 BRCT domain disrupts this stacking, suggesting that histone/DNA dynamics are integral to DNA damage signaling.

biochemistry↗

Self-supervised deep learning of gene-gene interactions for improved gene expression recovery

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to gain biological insights at the cellular level. However, due to technical limitations of the existing sequencing technologies, low gene expression values are often omitted, leading to inaccurate gene counts. The available methods, including state-of-the-art deep learning techniques, are incapable of imputing the gene expressions reliably because of the lack of a mechanism to explicitly consider the underlying biological knowledge of the system. Here we tackle the problem in two steps to exploit the gene-gene interactions of the system: (i) we reposition the genes in such a way that their spatial configuration reflects their interactive relationships; and (ii) we use a self-supervised 2D convolutional neural network to extract the contextual features of the interactions from the spatially configured genes and impute the omitted values. Extensive experiments with both simulated and experimental scRNA-seq datasets are carried out to demonstrate the superior performance of the proposed strategy against the existing imputation methods.

genomics↗