Search bioRxiv⌕ Search

Biology subjects

Jiang, Y.

Publications and source records attributed to Jiang, Y..

At least 253 records · Page 14Linked to original sources

Rtf1 HMD domain facilitates global histone H2B monoubiquitination and regulates morphogenesis and virulence in the meningitis-causing pathogen Cryptococcus neoformans

Rtf1 is generally considered to be a subunit of the Paf1 complex (Paf1C), which is a multifunctional protein complex involved in histone modification and RNA biosynthesis at multiple stages. Rtf1 is stably associated with the Paf1C in Saccharomyces cerevisiae, but not in other species including humans. Little is known about its function in human fungal pathogens. Here, we show that Rtf1 is required for facilitating H2B monoubiquitination (H2Bub1), and regulates fungal morphogenesis and pathogenicity in the meningitis-causing fungal pathogen Cryptococcus neoformans. Rtf1 is not tightly associated with the Paf1C, and its histone modification domain (HMD) is sufficient to promote H2Bub1 and the expression of genes related to fungal mating and filamentation. Moreover, Rtf1 HMD fully restores fungal morphogenesis and pathogenicity; however, it fails to restore defects of thermal tolerance and melanin production in the rtf1{Delta} strain background. The present study establishes a role for cryptococcal Rtf1 as a Paf1C-independent regulator in regulating fungal morphogenesis and pathogenicity, and highlights the function of HMD in facilitating global H2Bub1 in C. neoformans.

molecular biology↗

Determination of metal ion transport rate of human ZIP4 using stable zinc isotopes

The essential microelement zinc is absorbed in the small intestine mainly by the zinc transporter ZIP4, a representative member of the Zrt/Irt-like protein (ZIP) family. ZIP4 is reportedly upregulated in many cancers, making it a promising oncology drug target. To date, there have been no reports on the turnover number of ZIP4, which is a crucial missing piece of information needed to better understand the transport mechanism. In this work, we used a non-radioactive zinc isotope, 70Zn, and inductively coupled plasma mass spectrometry (ICP-MS) to study human ZIP4 (hZIP4) expressed in HEK293 cells. Our data showed that 70Zn can replace the radioactive 65Zn as a tracer in kinetic evaluation of hZIP4 activity. This approach, combined with the quantification of the cell surface expression of hZIP4 using biotinylation or surface-bound antibody, allowed us to estimate the apparent turnover number of hZIP4 to be in the range of 0.08-0.2 s-1. The turnover numbers of the truncated hZIP4 variants are significantly smaller than that of the full-length hZIP4, confirming a crucial role for the extracellular domain in zinc transport. Using 64Zn and 70Zn, we measured zinc efflux during the cell-based transport assay and found that it has little effect on the zinc import analysis under these conditions. Finally, we demonstrated that use of laser ablation (LA) ICP-TOF-MS on samples applied to a solid substrate significantly increased the throughput of the transport assay. We envision that the approach reported here can be applied to the studies of metal transporters beyond the ZIP family.

biochemistry↗

Mapping the Cerebrovascular Abnormality in Transgenic Alzheimer's Disease (AD) Mice with deep-learning-based super-resolution cerebral blood volume (CBV)-MRI

To measure the brain-wide vascular density (VD) alteration in degenerated brains with Alzheimers Disease (AD), deep learning-based super-resolution approach was developed to assist the segmentation of micro-vessels from the Monocrystalline Iron Oxide Nanoparticle (MION)-based CBV MRI images of transgenic mouse brains. Iron-induced T2* amplification effect well separated micro-vessels with tens of microns from capillary-enriched parenchyma voxels, enabling vascular compartment-specific VD differential analysis between AD and wildtype control mice. The differential maps based on segmented micro-vessels identified decreased VD in the anterior cingulate cortex (ACC) and medial entorhinal cortex (mEC) and increased VD in several highlighted brain regions, including dentate gyrus (DG) of the hippocampus, central and geniculate thalamus, medial septal area (MS), ventral tegmental area (VTA), and lateral entorhinal cortex (lEC). In contrast, the T2*-weighted capillary density mapping from parenchyma voxels showed increased VD in several cortical regions, including somatosensory and visual cortex, retrosplenial cortex, as well as piriform area and lEC in AD brains. However, dramatic capillary VD decrease was observed in the subcortical areas including hippocampus, thalamus, hypothalamus, and pontine areas. These high-resolution MION-based CBV MRI elucidates altered vascular compartments in degenerated AD brains, reconciling the various region-specific vascular impairment and angiogenesis in functional areas critical for cognitive decline of AD.

neuroscience↗

Evolutionary analysis of paired box gene family and biological function exploration of Lr.Pax7 in lamprey (Lethenteron reissneri)

The Pax(paired box)gene family comprises highly conserved transcription factors that play a crucial regulatory role in embryonic development, tissue morphogenesis, and cell differentiation. The gene family comprises of nine members, namely Pax1 to Pax9, each exhibiting distinct functionalities and expression patterns. Among the members of the Pax family, Pax7 is particularly involved in key regulatory functions related to skeletal muscle development and satellite cell biology in vertebrates. However, the precise role of Pax7 and its downstream targets in jawless vertebrates such as lamprey remains relatively understudied. Therefore, investigating the expression and function of lampreys Pax genes holds significant value as a model organism for understanding developmental processes, evolution, and interactions with other vertebrates. In this study, we identified Pax7 in Lethentero reissneri and multiple bioinformatics analyses suggested that it may represent the ancestral gene of the Pax7 shared among higher vertebrates. To further elucidate the function and regulatory mechanism of Pax7, we performed transcriptome sequencing analysis after silencing Lr.Pax7 expression which revealed alterations in metabolic processes along with associated genes(Plcy,Jagged2,Hes,Myod,Frizzled2,etc) involved in various immune pathways(Notch, Wnt, IL-17, TNF, etc), myogenesis process, adipocyte formation process consistent with those observed in higher vertebrates. Comparative studies between lamprey and high vertebrates could provide valuable insight into understanding the functional role of Pax7 and its downstream targets across diverse biological process as well as disease states.

evolutionary biology↗

Viral mimicry and memory deficits upon microglial deletion of ATRX

The importance of chromatin-mediated processes in neurodevelopmental and intellectual disability disorders is well recognised. However, how chromatin dysregulation in glial cells impacts cognitive abilities is less well understood. Here, we demonstrate that targeted loss of the ATRX chromatin remodeler in microglia alters chromatin accessibility profiles, leading to the de-repression of endogenous retroelements, triggering viral mimicry. Functionally, we find that ATRX microglial deficiency alters the electrophysiological properties of hippocampal neurons and causes deficits in object recognition and spatial memory. Overall, these findings demonstrate that ATRX is required in microglia to preserve chromatin structure and maintain microglial homeostasis. Disruption of these functions elicit neuroinflammation and cognitive deficits and potentially contribute to the pathology of human neurological disorders caused by ATRX mutations.

neuroscience↗

Neuronal hypofunction and network dysfunction in a mouse model at an early stage of tauopathy

We previously reported altered neuronal Ca2+ dynamics in the motor cortex of 12-month-old JNPL3 tauopathy mice during quiet wakefulness or forced running, with a tau antibody treatment significantly restoring the neuronal Ca2+ activity profile and decreasing pathological tau in these mice 1. Whether neuronal functional deficits occur at an early stage of tauopathy and if tau antibody treatment is effective in younger tauopathy mice needed further investigation. In addition, neuronal network activity and neuronal firing patterns have not been well studied in behaving tauopathy models. In this study, we first performed in vivo two-photon Ca2+ imaging in JNPL3 mice in their early stage of tauopathy at 6 months of age, compared to 12 month old mice and age-matched wild-type controls to evaluate neuronal functional deficits. At the animal level, frequency of neuronal Ca2+ transients decreased only in 6 month old tauopathy mice compared to controls, and only when animals were running on a treadmill. The amplitude of neuronal transients decreased in tauopathy mice compared to controls under resting and running conditions in both age groups. Total neuronal activity decreased only in 6 month old tauopathy mice compared to controls under resting and running conditions. Within either tauopathy or wild-type group, only total activity decreased in older wild-type animals. The tauopathy mice at different ages did not differ in neuronal Ca2+ transient frequency, amplitude or total activity. In summary, neuronal function did significantly attenuate at an early age in tauopathy mice compared to controls but interestingly did not deteriorate between 6 and 12 months of age. A more detailed populational analysis of the pattern of Ca2+ activity at the neuronal level in the 6 month old cohort confirmed neuronal hypoactivity in layer 2/3 of primary motor cortex, compared to wild-type controls, when animals were either resting or running on a treadmill. Despite reduced activity, neuronal Ca2+ profiles exhibited enhanced synchrony and dysregulated responses to running stimulus. Further ex vivo electrophysiological recordings revealed reduction of spontaneous excitatory synaptic transmission onto and in pyramidal neurons and enhanced excitability of inhibitory neurons in motor cortex, which were likely responsible for altered neuronal network activity in this region. Lastly, tau antibody treatment reduced pathological tau and gliosis partially restored the neuronal Ca2+ activity deficits but failed to rescue altered network changes. Taken together, substantial neuronal and network dysfunction occurred in the early stage of tauopathy that was partially alleviated with acute tau antibody treatment, which highlights the importance of functional assessment when evaluating the therapeutic potential of tau antibodies. HighlightsO_LILayer 2/3 motor cortical neurons exhibited hypofunction in awake and behaving mice at the early stage of tauopathy. C_LIO_LIAltered neuronal network activity disrupted local circuitry engagement in tauopathy mice during treadmill running. C_LIO_LILayer 2/3 motor cortical neurons in tauopathy mice exhibited enhanced neuronal excitability and altered excitatory synaptic transmissions. C_LIO_LIAcute tau antibody treatment reduced pathological tau and gliosis, and partially restored neuronal hypofunction profiles but not network dysfunction. C_LI

neuroscience↗

Hierarchical cortical entrainment orchestrates the multisensory processing of biological motion

When observing others behaviors, we continuously integrate their movements with the corresponding sounds to enhance perception and develop adaptive responses. However, how the human brain integrates these complex audiovisual cues based on their natural temporal correspondence remains unclear. Using electroencephalogram (EEG), we demonstrated that rhythmic cortical activity tracked the hierarchical rhythmic structures in audiovisually congruent human walking movements and footstep sounds. Remarkably, the cortical tracking effects exhibit distinct multisensory integration modes at two temporal scales: an additive mode in a lower-order, narrower temporal integration window (step-cycle) and a super-additive enhancement in a higher-order, broader temporal window (gait-cycle). Furthermore, while neural responses at the lower-order timescale reflect a domain-general audiovisual integration process, cortical tracking at the higher-order timescale is exclusively engaged in the integration of biological motion cues. In addition, only this higher-order, domain-specific cortical tracking effect correlates with individuals autistic traits, highlighting its potential as a neural marker for autism spectrum disorder. These findings unveil the multifaceted mechanism whereby rhythmic cortical activity supports the multisensory integration of human motion, shedding light on how neural coding of hierarchical temporal structures orchestrates the processing of complex, natural stimuli across multiple timescales.

neuroscience↗

Accurate estimation of SNP genotypes and genetic relatedness from DNA methylation data

Epigenome-wide association studies (EWAS) are susceptible to widespread confounding caused by population structure and genetic relatedness. Nevertheless, kinship estimation is challenging in EWAS without genotyping data. We propose MethylGenotyper, a method that for the first time enables accurate genotyping at thousands of SNPs directly from commercial DNA methylation microarrays. We model the intensities of methylation probes near SNPs with a mixture of three beta distributions corresponding to different genotypes and estimate parameters with an expectation-maximization algorithm. We conduct extensive simulations to demonstrate the performance of the method. When applying MethylGenotyper to Infinium EPIC array data of 4,662 Chinese, we obtain genotypes at 4,319 SNPs with a concordance rate of 98.26%, enabling the identification of 255 pairs of close relatedness. Furthermore, we show that MethylGenotyper allows for the estimation of both population structure and cryptic relatedness among 702 Australians of diverse ancestry. We have implemented MethylGenotyper in a publicly available R package to facilitate future large-scale EWAS.

bioinformatics↗

Two-ended recombination at a Flp-nickase-broken replication fork

Collision of a replication fork with a DNA nick is thought to generate a one-ended break, fostering genomic instability. Collision of the opposing converging fork with the nick could, in principle, form a second DNA end, enabling conservative repair by homologous recombination (HR). To study mechanisms of nickase-induced HR, we developed the Flp recombinase "step arrest" nickase in mammalian cells. Flp-nickase-induced HR entails two-ended, BRCA2/RAD51-dependent short tract gene conversion (STGC), BRCA2/RAD51-independent long tract gene conversion, and discoordinated two-ended invasions. HR induced by a replication-independent break and by the Flp-nickase differ in their dependence on BRCA1. To determine the origin of the second DNA end during Flp-nickase-induced STGC, we blocked the opposing fork using a site-specific Tus/Ter replication fork barrier. Flp-nickase-induced STGC remained robust and two-ended. Thus, collision of a single replication fork with a Flp-nick can trigger two-ended HR, possibly reflecting replicative bypass of lagging strand nicks. This response may limit genomic instability during replication of a nicked DNA template.

molecular biology↗

PAMPHLET: A Robust Toolkit for Precise PAM Prediction and Unveiling PAM Consistency in Highly Co-occurrence CRISPR-Cas Systems

The CRISPR-Cas technology has sparked a new technological revolution, significantly enhancing our ability to understand and engineer organisms. The nuclease that underpins this technology is evolving from the "One Cas9 for all" model to a diverse CRISPR toolbox. Identifying PAM sequences is a critical bottleneck in developing novel Cas proteins. Given the limitations of experimental methods, bioinformatics approaches are essential for predicting PAM sequences of Cas proteins in advance. To date, there are only a few PAM sequence prediction programs, and their accuracy is relatively low due to the limited number of spacers in CRISPR-Cas systems. To overcome this challenge, we have developed a pipeline named PAMPHLET, which innovatively utilizes homology searches of Cas proteins to identify additional spacers. PAMPHLET was tested on 20 CRISPR-Cas systems with known PAMs, increasing the number of spacers by up to 18-fold compared to the original datasets and successfully predicting 18 PAM sequences for protospacers. For rigorous and high-quality wet-lab validation of the predictions made by PAMPHLET, we employed the published DocMF platform. This platform leverages next-generation sequencing chips to profile protein-DNA interactions and can simultaneously screen both 5 and 3 PAMs with high throughput. The PAMPHLET predictions showed high consistency with the DocMF results for four novel Cas proteins. We expect that PAMPHLET will overcome the current limitations in PAM sequence prediction, expedite the discovery of PAM sequences, and help to shorten the development cycle for CRISPR tools. Remarkably, PAMPHLET has revealed an intriguing genomic phenomenon: the C2c9 and C2c10 systems, which lack the canonical adaptation module, possess identical PAM sequences to those found in co-occurring type I systems, suggesting potential shared spacer acquisition mechanisms. This finding highlights the complex evolutionary relationships of CRISPR-Cas systems and propels us toward a deeper understanding of their mechanistic diversity and adaptability.

bioinformatics↗

Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor-antigen recognition

Understanding the mechanisms of T-cell antigen recognition that underpin adaptive immune responses is critical for the development of vaccines, immunotherapies, and treatments against autoimmune diseases. Despite extensive research efforts, the accurate identification of T cell receptor (TCR)-antigen binding pairs remains a significant challenge due to the vast diversity and cross-reactivity of TCRs. Here, we propose a deep-learning framework termed Epitope-anchored Contrastive Transfer Learning (EPACT) tailored to paired human CD8+ TCRs from single-cell sequencing data. Harnessing the pre-trained representations and the contrastive co-embedding space, EPACT demonstrates state-of-the-art model generalizability in predicting TCR binding specificity for unseen epitopes and distinct TCR repertoires, offering potential values for practical outcomes in real-world scenarios. The contrastive learning paradigm achieves highly precise predictions for immunodominant epitopes and facilitates interpretable analysis of epitope-specific T cells. The TCR binding strength predicted by EPACT aligns well with the surge in spike-specific immune responses targeting SARS-CoV-2 epitopes after vaccination. We further fine-tune EPACT on TCR-epitope structural data to decipher the residue-level interactions involved in T-cell antigen recognition. EPACT not only exhibits superior capabilities in quantifying inter-chain distance matrices and identifying contact residue pairs but also corroborates the presence of molecular mimicry across multiple tumor-associated antigens. Together, EPACT can serve as a useful AI approach with significant potential in practical applications and contribute toward the development of TCR-based diagnostics and immunotherapies.

bioinformatics↗

NaV1.7 targeted fluorescence imaging agents for nerve identification during intraoperative procedures

Surgeries and trauma result in traumatic and iatrogenic nerve damage that can result in a debilitating condition that approximately affects 189 million individuals worldwide. The risk of nerve injury during oncologic surgery is increased due to tumors displacing normal nerve location, blood turbidity, and past surgical procedures, which complicate even an experienced surgeons ability to precisely locate vital nerves. Unfortunately, there is a glaring absence of contrast agents to assist surgeons in safeguarding vital nerves. To address this unmet clinical need, we leveraged the abundant expression of the voltage-gated sodium channel 1.7 (NaV1.7) as an intraoperative marker to access peripheral nerves in vivo, and visualized nerves for surgical guidance using a fluorescently-tagged version of a potent NaV1.7-targeted peptide, Tsp1a, derived from a Peruvian tarantula. We characterized the expression of NaV1.7 in sensory and motor peripheral nerves across mouse, primate, and human specimens and demonstrated universal expression. We synthesized and characterized a total of 10 fluorescently labeled Tsp1a-peptide conjugates to delineate nerves. We tested the ability of these peptide-conjugates to specifically accumulate in mouse nerves with a high signal-to-noise ratio in vivo. Using the best-performing candidate, Tsp1a-IR800, we performed thyroidectomies in non-human primates and demonstrated successful demarcation of the recurrent laryngeal and vagus nerves, which are commonly subjected to irreversible damage. The ability of Tsp1a to enhance nerve contrast during surgery provides opportunities to minimize nerve damage and revolutionize standards of care across various surgical specialties.

biochemistry↗

Pro-renin Receptor Inhibited ABCA1/G1 Expression Associated with Low HDL-c and Promoted Atherosclerosis

Background(Pro)renin receptors [(P)RR] binding both renin and its inactive proenzyme for prorenin induce increasing the efficiency of angiotensin I conversion and the production of angiotensin II (Ang II). Recently, (P)RR was reported to played a pathological role in diabetic renal disease independent of Ang II. Ang II is involved in lipid metabolism and atherosclerosis, but the (P)RR participation in atherosclerosis remains unclear. Thus, the objective of this study was to examine the relative importance of Ang II-independent actions of (P)RR and its mechanism in the development of atherosclerosis. MethodsClinical demographic characteristics and laboratory profile data of 1189 essential hypertensive were collected. Patients were divided into four groups based on the quartiles of plasma renin activity (PRA). The plasma lipoprotein levels of four groups were compared. Furthermore, we examined serum and liver lipoprotein levels, as well as ATP-binding cassette transporter A1 (ABCA1) and ATP-binding cassette transporter G1 (ABCG1) expression in ApoE-/- mice treated with prorenin. ABCA1 and ABCG1 expression and their function in mediating cholesterol efflux were evaluated in THP-1 cells by prorenin treatment. Agonists of the peroxisome proliferator-activated receptor-{gamma} (PPAR-{gamma}) and liver X receptor (LXR) were used to investigate the mechanism involved in vitro. ResultsPlasma TC, TG, LDL-c, and apoB were significantly increased, and HDL-c and apoA were dramatically decreased with a trend of higher plasma renin activity (PRA) ( all P < 0.05) in hypertensive patients. Prorenin accelerated atherosclerosis by inhibiting mRNA and protein expression of ABCA1/ABCG1 in the liver of ApoE-/- mice. Prorenin binding to (P)RR inhibited the functions of ABCA1- and ABCG1-mediated cholesterol efflux. Furthermore, Prorenin reduced ABCA1/G1 expression of THP-1 cells through PPAR{gamma}/LXR pathway. Conclusions(P)RR activated by prorenin inhibited the expression of ABCA1/ABCG1 through the PPAR{gamma}/LXR pathway and the functions of ABCA1- and ABCG1-mediated cholesterol efflux, resulting in dyslipidemia and eventually atherosclerosis. HighlightsWith RPA increases in hypertension, plasma TC, TG, LDL-c, and apoB were higher, while HDL-c and apoA were lower. Prorenin binding to (P)RR accelerated atherosclerosis by inhibiting ABCA1/G1 expression and function. Prorenin reduced ABCA1/G1 expression of THP-1 cells through PPAR{gamma}/LXR pathway.

pathology↗

Functional characterization of Lipid storage droplets 1 (LSD1) in growth and lipolysis of Hermetia illucens

As intracellular organelles in adipose tissue, lipids droplets manage the balance between triglyceride accumulation and energy consumption in animals. Perilipin family members, associated with surface of lipid droplets, participate the regulation of lipid metabolism. Lipid storage droplet-1 (LSD1)/Perilipin-1 acts as a gatekeeper for adipose lipid storage in animals. Despite extensive studies in fruit fly, the function of LSD1 in insect larval stage remain indistinct. In this study, we characterized the function of LSD1 in black soldier fly Hermetia illucens, a nova resource insect to recycle organic wastes. We found that LSD1 was broadly present in dipteran species and evolved with divergence between mosquitos and flies. We further constructed in vivo mutagenesis mediated by CRISPR/Cas9 and found that mutations in LSD1 increased the larval weight and did not bring any defects in development. Raw fat content was also not significantly influenced in late larval stage and new-emerged adults. Our results not only extend our knowledge of LSD1 in insects, but also help for better understanding of the lipid homeostasis in BSF.

zoology↗

Targeting Fatty Acid Desaturase I Inhibits Renal Cancer Growth Via ATF3-mediated ER Stress Response

Monounsaturated fatty acids (MUFAs) play a pivotal role in maintaining endoplasmic reticulum (ER) homeostasis, an emerging hallmark of cancer. However, the role of polyunsaturated fatty acid (PUFAs) desaturation in persistent ER stress driven by oncogenic abnormalities remains elusive. Fatty Acid Desaturase 1 (FADS1) is a rate-limiting enzyme controlling the bioproduction of long-chain PUFAs. Our previous research has demonstrated the significant role of FADS1 in cancer survival, especially in kidney cancers. We explored the underlying mechanism in this study. We found that pharmacological inhibition or knockdown of the expression of FADS1 effectively inhibits renal cancer cell proliferation and induces cell cycle arrest. The stable knockdown of FADS1 also significantly inhibits tumor formation in vivo. Mechanistically, we show that while FADS1 inhibition induces ER stress, its expression is also augmented by ER-stress inducers. Notably, FADS1-inhibition sensitized cellular response to ER stress inducers, providing evidence of FADS1s role in modulating the ER stress response in cancer cells. We show that, while FADS1 inhibition-induced ER stress leads to activation of ATF3, ATF3-knockdown rescues the FADS1 inhibition-induced ER stress and cell growth suppression. In addition, FADS1 inhibition results in the impaired biosynthesis of nucleotides and decreases the level of UPD-N-Acetylglucosamine, a critical mediator of the unfolded protein response. Our findings suggest that PUFA desaturation is crucial for rescuing cancer cells from persistent ER stress, supporting FADS1 as a new therapeutic target.

cancer biology↗

Functional characterization of fatty acid synthase in Hermetia illucens

Fatty acid synthase (FAS) is a key role in de novo lipogenesis (DNL) in most lives. In insects, type I FAS functions in homodimer, activated by a phosphopantetheine transferase (PPT), to de novo produce essential saturated fatty acid for cellular processes. In a nova insect species Hermetia illucens (Diptera: Stratiomyidae), different from most animals and insects, lauric acid (LA) accumulates to a noticeable level, near content of that in coconut oil or palm kernel oil. However, the origin of LA, from de novo biosynthesis or as degraded products from long chain fatty acid, was still ambiguous. Here, in this study, we mined a FAS genes (HiOGS16234) from H. illucens genome and initially characterized its abilities of LA production in a free-fatty-acid producible yeast. After clear the yeast metabolites background of fatty acid by deletion of ScFAS1 and ScELO1 sequentially, which responsible for fatty acid genesis and elongation respectively, functions of HiOGS16234 from H. illucens was in vitro elucidated by analyzing its product portfolio. Through protein domain swap in HiOGS16234, we found the ketoacyl synthase domain and thioesterases domain were responsible for the different product portfolio of HiOGS16234, compared with DmFASN1. Through in vitro assay in yeast, the origin of LA in BSF was firstly elucidated at molecular level, which support DNL origin hypothesis in BSF.

synthetic biology↗

Single-cell genomics and regulatory networks for 388 human brains

Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized [~]250 disease-risk genes and drug targets with associated cell types. Summary Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/585576v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@70b24org.highwire.dtl.DTLVardef@6c9eddorg.highwire.dtl.DTLVardef@131fae2org.highwire.dtl.DTLVardef@4e0f1e_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing

Tumors are comprised of a mixture of distinct cell populations that differ in terms of genetic makeup and function. Such heterogeneity plays a role in the development of drug resistance and the ineffectiveness of targeted cancer therapies. Insight into this complexity can be obtained through the construction of a phylogenetic tree, which illustrates the evolutionary lineage of tumor cells as they acquire mutations over time. We propose Canopy2, a Bayesian framework that uses single nucleotide variants derived from bulk DNA and single-cell RNA sequencing to infer tumor phylogeny and conduct mutational profiling of tumor subpopulations. Canopy2 uses Markov chain Monte Carlo methods to sample from a joint probability distribution involving a mixture of binomial and beta-binomial distributions, specifically chosen to account for the sparsity and stochasticity of the single-cell data. Canopy2 demystifies the sources of zeros in the single-cell data and separates zeros categorized as non-cancerous (cells without mutations), stochastic (mutations not expressed due to bursting), and technical (expressed mutations not picked up by sequencing). Simulations demonstrate that Canopy2 consistently outperforms competing methods and reconstructs the clonal tree with high fidelity, even in situations involving low sequencing depth, poor single-cell yield, and highly-advanced and polyclonal tumors. We further assess the performance of Canopy2 through application to breast cancer and glioblastoma data, benchmarking against existing methods. Canopy2 is an open-source R package available at https://github.com/annweideman/canopy2.

genomics↗