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Hong, Y.

Publications and source records attributed to Hong, Y..

At least 145 records · Page 8Linked to original sources

Large field of view-spatially resolved transcriptomics at nanoscale resolution

Spatially resolved transcriptomic technologies are promising tools to study cell fate decisions in a physical microenvironment, which is fundamental for enhancing our knowledge of mammalian development. However, the imbalance between resolution, transcript capture and field of view of current methodologies precludes their systematic application to analyze relatively large and three-dimensional mid- and late-gestation mammalian embryos. Here, we combined DNA nanoball (DNB) patterned arrays and tissue RNA capture to create SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq). This approach allows transcriptomic profiling of large histological sections with high resolution and sensitivity. We have applied Stereo-seq to study the kinetics and directionality of transcriptional variation in a time course of mouse organogenesis. We used this information to gain insight into the molecular basis of regional specification, neuronal migration and differentiation in the developing brain. Furthermore, we mapped the expression of a panel of developmental disease-related loci on our global transcriptomic maps to define the spatiotemporal windows of tissue vulnerability. Our panoramic atlas constitutes an essential resource to investigate longstanding questions concerning normal and abnormal mammalian development.

cell biology↗

Stem cell derived astrocytes with POLG mutations and mitochondrial dysfunction including abnormal NAD+ metabolism is toxic for neurons

The inability to reliably replicate mitochondrial DNA (mtDNA) by mitochondrial DNA polymerase gamma (POLG) leads to a subset of common mitochondrial diseases associated with neuronal death and depletion of neuronal mtDNA. Defining disease mechanisms remains difficult due to the limited access to human tissue. Astrocytes are highly abundant in the brain, playing a crucial role in the support and modulation of neuronal function. Astrocytes also respond to insults affecting the brain. Following damage to the center neural system, which can be hypoxia, inflammation or neurodegeneration, astrocytes become activated and lose their supportive role and gain toxic functions that induce rapid death of neurons and oligodendrocytes. The role of astrocyte reactivation and the consequences this has for neuronal homeostasis in mitochondrial diseases has not been explored. Here, using patient cells carrying POLG mutations, we generated iPSCs and then differentiated into astrocytes. We demonstrated that POLG-astrocytes exhibited both mitochondrial dysfunctions, including loss of mitochondrial membrane potential, energy failure, complex I and IV defects, disturbed NAD+/NADH metabolism, and mtDNA depletion. Further, POLG derived astrocytes presented an A1-like reactive phenotype with increased proliferation, invasion, upregulation of pathways involved in response to stimulus, immune system process, cell proliferation and cell killing. Under direct and indirect co-culture with neurons, POLG-astrocytes exhibited a toxic effect leading to the death of neurons. Our findings demonstrate that mitochondrial dysfunction caused by POLG mutations leads not only to intrinsic defects in energy metabolism affecting both neurons and astrocytes, but also to neurotoxic damage driven by astrocytes. Our studies provide a robust astroglia-neuronal interaction model for future investigation of mitochondrial involvement in neurogenesis and neurodegenerative diseases. Highlights{blacksquare} Patient-specific astrocytes harbouring a POLG mutation showed lower mitochondrial membrane potential and mtDNA depletion. {blacksquare}POLG-astrocytes generated elevated L-lactate as the end glycolytic product. {blacksquare}Patient-specific astrocytes with POLG mutations exhibited mitochondrial respiratory chain disruption accompanied with abnormal UCP2/SirT1/SirT3 mediated NAD+ metabolism. {blacksquare}Suppressed complex I and IV-driven respiration contributed to the pathological mechanisms in POLG-related disease. {blacksquare}POLG-astrocytes exhibit A1-reactive phenotype and neurotoxic potential. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/423652v1_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@18995fdorg.highwire.dtl.DTLVardef@1d615d4org.highwire.dtl.DTLVardef@334aa8org.highwire.dtl.DTLVardef@16a84ba_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Sterilizing immunity against SARS-CoV-2 in hamsters conferred by a novel recombinant subunit vaccine

A safe and effective SARS-CoV-2 vaccine is essential to avert the on-going COVID-19 pandemic. Here, we developed a subunit vaccine, which is comprised of CHO-expressed spike ectodomain protein (StriFK) and nitrogen bisphosphonates-modified zinc-aluminum hybrid adjuvant (FH002C). This vaccine candidate rapidly elicited the robust humoral response, Th1/Th2 balanced helper CD4 T cell and CD8 T cell immune response in animal models. In mice, hamsters, and non-human primates, 2-shot and 3-shot immunization of StriFK-FH002C generated 28- to 38-fold and 47- to 269-fold higher neutralizing antibody titers than the human COVID-19 convalescent plasmas, respectively. More importantly, the StriFK-FH002C immunization conferred sterilizing immunity to prevent SARS-CoV-2 infection and transmission, which also protected animals from virus-induced weight loss, COVID-19-like symptoms, and pneumonia in hamsters. Vaccine-induced neutralizing and cell-based receptor-blocking antibody titers correlated well with protective efficacy in hamsters, suggesting vaccine-elicited protection is immune-associated. The StriFK-FH002C provided a promising SARS-CoV-2 vaccine candidate for further clinical evaluation.

microbiology↗

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona

Single-cell multi-omics sequencing data can provide a comprehensive molecular view of cells. However, effective approaches for the integrative analysis of such data are challenging. Although achieved state-of-the-art performance on single-cell multi-omics data integration and did not require any correspondence information, either among cells or among features, current manifold alignment based integrative methods are often limited by requiring that single-cell datasets be derived from the same underlying cellular structure. To overcome this limitation, we present Pamona, an algorithm that integrates heterogeneous single-cell multi-omics datasets with the aim of delineating and representing the shared and dataset-specific cellular structures. We formulate this task as a partial manifold alignment problem and develop a partial Gromov-Wasserstein optimal transport framework to solve it. Pamona identifies both shared and dataset-specific cells based on the computed probabilistic couplings of cells across datasets, and it aligns cellular modalities in a common low-dimensional space, while simultaneously preserving both shared and dataset-specific structures. Our framework can easily incorporate prior information, such as cell type annotations or cell-cell correspondence, to further improve alignment quality. Simulation studies and applications to four real data sets demonstrate that Pamona can accurately identify shared and dataset-specific cells, as well as faithfully recover and align cellular structures of heterogeneous single-cell modalities in the common space. Pamona software is available at https://github.com/caokai1073/Pamona.

bioinformatics↗

Histone H2A ubiquitination resulting from Brap loss of function connects multiple aging hallmarks and accelerates neurodegeneration

Aging is an intricate process that is characterized by multiple hallmarks including stem cell exhaustion, genome instability, epigenome alteration, impaired proteostasis, and cellular senescence. While each of these traits is detrimental at the cellular level, it remains unclear how they are interconnected to cause systemic organ deterioration. Here we show that abrogating Brap, a BRCA1 associated protein important for neurogenesis, results in cellular senescence with persistent DNA double-strand breaks and elevation of histone H2A mono- and poly-ubiquitination (H2Aub). The high H2Aub initiates histone proteolysis, leading to both epigenetic alteration and proteasome overflow. These defects induce neuroinflammation, impair proteostasis, accelerate neurodegeneration, and substantially shorten lifespan in mice carrying Brap deletions in the brain. We further show H2Aub is also increased in human brain tissues of Alzheimers disease. These data together suggest that chromatin aberrations mediated by H2Aub act as a nexus of multiple aging hallmarks and promote tissue-wide degeneration.

neuroscience↗

Electrostatic Plasma Membrane Targeting is Essential for Dlg Function in Cell Polarity and Tumorigenesis

Discs large (Dlg) is an essential polarity protein and a tumor suppressor originally characterized in Drosophila but is also well conserved in vertebrates. Like the majority of polarity proteins, plasma membrane (PM)/cortical localization of Dlg is required for its function in polarity and tumorigenesis, but the exact mechanisms targeting Dlg to PM remain to be fully elucidated. Here we show that, similar to the recently discovered polybasic polarity proteins such as Lgl and aPKC, Dlg also contains a positively charged polybasic domain that electrostatically binds the PM phosphoinositides PI4P and PI(4,5)P2. Electrostatic targeting by the polybasic domain contributes significantly to the PM localization of Dlg in follicular and early embryonic epithelial cells, and is crucial for Dlg to regulate both polarity and tumorigenesis. The electrostatic PM targeting of Dlg is controlled by a potential phosphorylation-dependent allosteric regulation of its polybasic domain, and is specifically enhanced by the interactions between Dlg and another basolateral polarity protein and tumor suppressor Scrib. Our studies highlight an increasingly significant role of electrostatic PM targeting of polarity proteins in regulating cell polarity.

developmental biology↗

Reappraisal of Spinach-based RNA Visualization in Plants

RNAs can be imaged in living cells using molecular beacons, RNA-binding labeled proteins and RNA aptamer-based approaches. However, Spinach RNA-mimicking GFP (RMG) has not been successfully used to monitor cellular RNAs in plants. In this study, we re-evaluated Spinach-based RNA visualization in different plants via transient, transgenic, and virus-based expression strategies. We found that like bacterial, yeast and human cellular tRNAs, plant tRNAs such as tRNALys (K) can protect and/or stabilize the spinach RNA aptamer interaction with the fluorophore DFHBI enabling detectable levels of green fluorescence to be emitted. The tRNALys-spinach-tRNALys (KSK), once delivered into "chloroplast-free" onion epidermal cells can emit strong green fluorescence in the presence of DFHBI. Transgenic or virus-based expression of monomer KSK, in either stably transformed or virus-infected Nicotinana benthamiana plants, failed to show RMG fluorescence. However, incorporating tandem repeats of KSK into recombinant viral RNAs, enabled qualitative and quantitative detection, both in vitro and ex vivo (ex planta), of KSK-specific green fluorescence, though RMG was less obvious in vivo (in planta). These findings demonstrate Spinach-based RNA visualization has the potential for ex vivo and in vivo monitoring RNAs in plant cells. One sentence summarySpinach-based RMG technology was reevaluated to have potential for ex vivo and in vivo monitoring RNAs in plant cells.

plant biology↗

An α-cyanostilbene derivative for the enhanced detection and imaging of amyloid fibril aggregates

The aggregation of proteins into amyloid fibrils has been implicated in the pathogenesis of a variety of neurodegenerative diseases, including Alzheimer’s and Parkinson’s disease. Benzothiazole dyes such as Thioflavin T (ThT) are well characterised and widely used fluorescent probes for monitoring amyloid fibril formation. However, existing dyes lack sensitivity and specificity to oligomeric intermediates formed during fibril formation. In this work we describe the use of an α-cyanostilbene derivative with aggregation-induced emission properties (called ASCP) as a fluorescent probe for the detection of amyloid fibrils. Similar to ThT, ASCP is fluorogenic in the presence of amyloid fibrils and upon binding and excitation at 460 nm produces a red-shifted emission with a large Stokes shift of 145 nm. ASCP has a higher binding affinity to fibrillar α-synuclein than ThT and likely shares the same binding sites to amyloid fibrils. Importantly, ASCP was found to also be fluorogenic in the presence of amorphous aggregates and can detect oligomeric species formed early during aggregation. Moreover, ASCP can be used to visualise fibrils via Total Internal Reflection Fluorescence (TIRF) microscopy and, due to its large Stokes shift, simultaneously monitor the fluorescence emission of other labelled proteins following excitation with the same laser used to excite ASCP. Consequently, ASCP possesses enhanced and unique spectral characteristics compared to ThT that make it a promising alternative for the in vitro study of amyloid fibrils and the mechanisms by which they form.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biochemistry↗

Systematic analysis of mutational spectra associated with DNA repair deficiency in C. elegans

Genome integrity is particularly important in germ cells to faithfully preserve genetic information across generations. As yet little is known about the contribution of various DNA repair pathways to prevent mutagenesis. Using the C. elegans model we analyse mutational spectra that arise in wild-type and 61 DNA repair and DNA damage response mutants cultivated over multiple generations. Overall, 44% of lines show >2-fold increased mutagenesis with a broad spectrum of mutational outcomes including changes in single or multiple types of base substitutions induced by defects in base excision or nucleotide excision repair, or elevated levels of 50-400 bp deletions in translesion polymerase mutants rev-3(pol {zeta}) and polh-1(pol {eta}). Mutational signatures associated with defective homologous recombination fall into two classes: 1) mutants lacking brc-1/BRCA1 or rad-51/RAD51 paralogs show elevated base substitutions, indels and structural variants, while 2) deficiency for MUS-81/MUS81 and SLX-1/SLX1 nucleases, and HIM-6/BLM, HELQ-1/HELQ and RTEL-1/RTEL1 helicases primarily cause structural variants. Genome-wide investigation of mutagenesis patterns identified elevated rates of tandem duplications often associated with inverted repeats in helq-1 mutants, and a unique pattern of translocation events involving homeologous sequences in rip-1 paralog mutants. atm-1/ATM DNA damage checkpoint mutants harboured complex structural variants enriched in subtelomeric regions, and chromosome end-to-end fusions. Finally, while inactivation of the p53-like gene cep-1 did not affect mutagenesis, combined brc-1 cep-1 deficiency displayed increased, locally clustered mutagenesis. In summary, we provide a global view of how DNA repair pathways prevent germ cell mutagenesis.

genomics↗

Dynamic dopaminergic activity controls the timing of self-timed movement

Clues from human movement disorders have long suggested that the neurotransmitter dopamine plays a key role in motor control, but how the endogenous dopaminergic system regulates movement is unknown. Here we show dynamic dopaminergic signaling over seconds-long timescales controls movement timing in mice. Animals were trained to initiate licking after a self-timed interval following a start-timing cue. The movement time was variable from trial-to-trial, as expected from previous studies. Surprisingly, dopaminergic signals ramped-up over seconds between the start-timing cue and the self-timed movement, with variable dynamics that predicted the movement time on single trials. Steeply rising signals preceded early lick-initiation, whereas slowly rising signals preceded later initiation. Higher baseline signals also predicted earlier self-timed movements. Optogenetic activation of dopamine neurons during self-timing did not trigger immediate movements, but rather caused systematic early-shifting of movement initiation, whereas inhibition caused late-shifting, as if modulating the probability of movement. Consistent with this view, the dynamics of the endogenous dopaminergic signals quantitatively predicted the moment-by-moment probability of movement initiation on single trials. These results reveal a causal role for dynamic dopaminergic signaling unfolding over seconds in modulating the decision of when to move.

neuroscience↗

Ripasudil in a model of pigmentary glaucoma

PurposeTo investigate the effects of Ripasudil (K-115), a Rho-kinase inhibitor, in a porcine model of pigmentary glaucoma. MethodsHallmark features of trabecular meshwork (TM), the principle structure of the outflow system affected in this model, were analyzed. In vitro TM cells and ex vivo perfused eyes were subjected to pigment dispersion followed by K-115 treatment (PK115). PK115 was compared to sham-treated controls (C) and pigment (P). Cytoskeletal alterations were assessed by F-actin labeling. TM cell phagocytosis of fluorescent targets was evaluated by flow cytometry. Cell migration was studied with a wound-healing assay. Intraocular pressure was continuously monitored and compared to after the establishment of the pigmentary glaucoma model and after treatment with K-115. ResultsIn vitro, the percentage of cells with stress fibers increased in response to pigment but declined sharply after treatment with K-115 (P: 32.8 +/- 2.9%; PK115: 11.6 +/- 3.3%, P < 0.001). Phagocytosis first declined but recovered after K-115 (P: 25.7+/-2.1%, PK115: 33.4+/-0.8%, P <0.01). Migration recuperated at 12h with K-115 treatment (P: 19.1+/-4.6 cells/high-power field, PK115: 42.5+/-1.6 cells/high-power field, P <0.001). Ex vivo, eyes became hypertensive from pigment dispersion but were normotensive after treatment with K-115 (P: 20.3 +/- 1.2 mmHg, PK115: 8.9 +/- 1.7 mmHg; P< 0.005). ConclusionIn vitro, K-115 reduced TM stress fibers, restored phagocytosis, and restored migration of TM cells. Ex vivo, K-115 normalized intraocular pressure.

pharmacology and toxicology↗

Protein synthesis is suppressed in sporadic and familial Parkinson's Disease by LRRK2

Gain of function LRRK2-G2019S is the most common mutation associated with both familial and sporadic Parkinsons disease. It is expected therefore that understanding the cellular function of LRRK2 will provide much needed insight on the pathological mechanism of sporadic Parkinsons, which is the most common form. Here we show that constitutive LRRK2 activity represses nascent protein synthesis in rodent neurons. Specifically, enzymatic inhibition of LRRK2, gene silencing or gene knockout of Lrrk2 increase translation. In the rotenone model of Parkinsons, LRRK2 activity increases, leading to repression of translation and dopaminergic neuron atrophy both of which are prevented by LRRK2 inhibition. This is accompanied by altered phosphorylation of eIF2-S52({uparrow}), eIF2s2-S2({downarrow}) and eEF2-T57({uparrow}) in striatum/substantia nigra in a direction that signifies inhibition of protein synthesis. Significantly, LRRK2 is activated and translation is 40% reduced in Parkinsons patient fibroblasts (G2019S and sporadic) and LRRK2 inhibition restores normal translation. In contrast, translation is unchanged in cells from multiple system atrophy patients, implying disease specificity. These findings suggest that LRRK2-dependent repression of translation may be a proximal function of LRRK2 in Parkinsons pathology.

neuroscience↗

Classifying protein structures into folds by convolutional neural networks, distance maps, and persistent homology

The fold classification of a protein reveals valuable information about its shape and function. It is important to find a mapping between protein structures and their folds. There are numerous machine learning techniques to predict protein folds from 1-dimensional (1D) protein sequences, but there are few machine learning methods to directly class protein 3D (tertiary) structures into predefined folds (e.g. folds defined in the SCOP database). We develop a 2D-convolutional neural network to classify any protein structure into one of 1232 folds. We extract two classes of input features for each protein: residue-residue distance matrix and persistent homology images derived from 3D protein structures. Due to restrictions in computing resources, we sample every other point in the carbon alpha chain to generate a reduced distance map representation. We find that it does not lead to significant loss in accuracy. Using the distance matrix, we achieve an accuracy of 95.2% on the SCOP dataset. With persistence homology images of 100 x 100 resolution, we achieve an accuracy of 56% on SCOPe 2.07 dataset. Combining the two kinds of features further improves classification accuracy. The source code of our method (PRO3DCNN) is available at https://github.com/jianlin-cheng/PRO3DCNN.

bioinformatics↗

High-throughput cell-based assays for the preclinical development of DsbA inhibitors as antivirulence therapeutics.

Antibiotics are failing fast, and the development pipeline is alarmingly dry. New drug research and development is being urged by world health officials, with new antibacterials against multidrug-resistant Gram-negative pathogens as the highest priority. Antivirulence drugs, which are inhibitors of bacterial pathogenicity factors, are a class of promising antibacterials, however, their development is often stifled by lack of standardised preclinical testing akin to what guides antibiotic development. The lack of established target-specific microbiological assays amenable to high-throughput, often means that cell-based testing of virulence inhibitors is absent from the discovery (hit-to-lead) phase, only to be employed at later-stages of lead optimization. Here, we address this by establishing a pipeline of bacterial cell-based assays developed for the identification and early preclinical evaluation of DsbA inhibitors. Inhibitors of DsbA block bacterial oxidative protein folding and were previously identified by biophysical and biochemical assays. Here we use existing Escherichia coli DsbA inhibitors and uropathogenic E. coli (UPEC) as a model pathogen, to demonstrate that a combination of a cell-based AssT sulfotransferase assay and the UPEC motility assay, modified for a higher throughput format, can provide a robust and target-specific platform for the evaluation of DsbA inhibitors. Our pipeline could also be used in fragment and compound screening for the identification of new DsbA inhibitor classes or hits with a broad spectrum of activity. In conclusion, the establishment of accurate, high-throughput microbiological assays for antivirulence drug identification and early preclinical development, is a significant first step towards their translation into effective therapeutics. ImportanceThe safety net of last resort antibiotics is quickly vanishing as bacteria become increasingly resistant to most available drugs. If no action is taken, we will likely enter a post-antibiotic era, where common infections and minor injuries are once again lethal. The paucity in new antibiotic discovery of the past decades has compounded the problem of increasing antibiotic resistance, to the point that it now constitutes a global health crisis that demands global action. There is currently an urgent need for new antibacterial drugs with new targets and modes of action. To address this, research and development efforts into antivirulence drugs, such as DsbA inhibitors, have been ramping up globally. However, the development of microbiological assays as tools for effectively identifying and evaluating antivirulence drugs is lagging behind. Here, we present a high-throughput cell-based screening and evaluation pipeline, which could significantly advance development of DsbA inhibitor as antivirulence therapeutics.

microbiology↗

The SUMO E3 Ligase SIZ1 Positively Regulates Active DNA Demethylation by Stabilizing ROS1 in Arabidopsis thaliana

The 5-methylcytosine DNA glycosylase/lyase REPRESSOR OF SILENCING 1 (ROS1)-mediated active DNA demethylation is critical for shaping the genomic DNA methylation landscape in Arabidopsis. Whether and how the stability of ROS1 may be regulated by post-translational modifications is unknown. Using a methylation-sensitive PCR (CHOP-PCR)-based forward genetic screen for Arabidopsis DNA hypermethylation mutants, we identified the SUMO E3 ligase SIZ1 as a critical regulator of active DNA demethylation. Dysfunction of SIZ1 leads to hyper-methylation at approximately one thousand genomic regions. SIZ1 physically interacts with ROS1 and mediates the SUMOylation of ROS1. The SUMOylation of ROS1 is reduced in siz1 mutant plants. Compared to that in wild type plants, the protein level of ROS1 is significantly decreased, even though there is an increased level of ROS1 transcripts in siz1 mutant plants. Our results suggest that SIZ1 positively regulates active DNA demethylation by promoting the stability of ROS1 protein through SUMOylation. Short SummaryThe 5-methylcytosine DNA glycosylase/lyase REPRESSOR OF SILENCING 1 (ROS1) is indispensable for proper DNA methylation landscape in Arabidopsis. Whether and how the stability of ROS1 may be regulated by post-translational modifications is unknown. Here, we show that SIZ1-mediated SUMOylation of ROS1 enhances its stability and positively regulates active DNA demethylation.

plant biology↗

Common postzygotic mutational signature in multiple healthy adult tissues related to embryonic hypoxia

Postzygotic mutations are acquired in all of the normal tissues throughout an individuals lifetime and hold clues for identifying mutagenesis causing factors. The process and underlying mechanism of postzygotic mutations in normal tissues is still poorly understood. In this study, we investigated postzygotic mutation spectra in healthy individuals by optimized ultra-deep exome sequencing of time series samples from the same volunteer and samples from different individuals. In cells of blood, sperm, and muscle, we resolved three common types of mutational signature. Two of them are known to represent clock-like mutational processes, and their proportions in mutation profiles associated with polymorphisms of epigenetic regulation genes, suggesting the contribution of personal genetic backgrounds to underlying biological process. Notably, the third signature, characterized by C>T transitions at GpCpN sites, tends to be a feature of diverse normal tissues. Mutations of this type were likely to occur early in embryo development even before the tissue differentiation, as indicated by their relatively high allele frequencies, sharing variants between multiple tissues, and lacking of age-related accumulation. Almost all tumors shown in public datasets did not have this signature detected except for 19.6% of clear cell renal cell carcinoma samples, which featured by activation of the hypoxia-induced signaling pathway. Moreover, in vitro activation of HIF signaling pathway successfully introduced the corresponding mutation profile of this signature in a culture-expanded human embryonic stem cell line. Therefore, embryonic hypoxia may explain this novel signature across multiple normal tissues. Our study suggest hypoxic conditions in the early stage of embryo development may be a crucial factor for the C>T transitions at GpCpN sites and individual genetic background also related to shaping human postzygotic mutation profiles.

genetics↗

Unsupervised Topological Alignment for Single-Cell Multi-Omics Integration

Single-cell multi-omics data provide a comprehensive molecular view of cells. However, single-cell multi-omics datasets consist of unpaired cells measured with distinct unmatched features across modalities, making data integration challenging. In this study, we present a novel algorithm, termed UnionCom, for the unsupervised topological alignment of single-cell multi-omics integration. UnionCom does not require any correspondence information, either among cells or among features. It first embeds the intrinsic low-dimensional structure of each single-cell dataset into a distance matrix of cells within the same dataset and then aligns the cells across single-cell multi-omics datasets by matching the distance matrices via a matrix optimization method. Finally, it projects the distinct unmatched features across single-cell datasets into a common embedding space for feature comparability of the aligned cells. To match the complex nonlinear geometrical distorted low-dimensional structures across datasets, UnionCom proposes and adjusts a global scaling parameter on distance matrices for aligning similar topological structures. It does not require one-to-one correspondence among cells across datasets, and it can accommodate samples with dataset-specific cell types. UnionCom outperforms state-of-the-art methods on both simulated and real single-cell multi-omics datasets. UnionCom is robust to parameter choices, as well as subsampling of features. UnionCom software is available at https://github.com/caokai1073/UnionCom.

bioinformatics↗

Neuropeptide VF neurons promote sleep via the serotonergic raphe

Although several sleep-regulating neurons have been identified, little is known about how they interact with each other for sleep/wake control. We previously identified neuropeptide VF (NPVF) and the hypothalamic neurons that produce it as a sleep-promoting system (Lee et al., 2017). Here we use zebrafish to describe a neural circuit in which neuropeptide VF (npvf)-expressing neurons control sleep via the serotonergic raphe nuclei (RN), a hindbrain structure that promotes sleep in both diurnal zebrafish and nocturnal mice. Using genetic labeling and calcium imaging, we show that npvf-expressing neurons innervate and activate serotonergic RN neurons. We additionally demonstrate that optogenetic stimulation of npvf-expressing neurons induces sleep in a manner that requires NPVF and is abolished when the RN are ablated or lack serotonin. Finally, genetic epistasis demonstrates that NPVF acts upstream of serotonin in the RN to maintain normal sleep levels. These findings reveal a novel hypothalamic-hindbrain circuit for sleep/wake control.

neuroscience↗