Search bioRxiv⌕ Search

Biology subjects

Zheng, Y.

Publications and source records attributed to Zheng, Y..

At least 289 records · Page 16Linked to original sources

Two haplotype-resolved genomes of highly heterozygous AAB allotriploid bananas provide insights into subgenome asymmetric evolution and banana wilt control

Bananas (Musa spp.) are one of the most important tropical fruits and staple food, which are of great significance to human societies. Plantain and Silk are two important banana subgroups, which are both triploid hybrids (AAB) between the wild diploid Musa acuminata and M. balbisiana. In this study, we reported the first haplotype-resolved genome assembly of Plantain and Silk bananas with genome size of approximately 1.4 Gb. We discovered widespread asymmetric evolution in the subgenomes of Plantain and Silk, which could be linked to frequent homologous exchanges (HEs) events. This is the first study to uncover the genetic makeup of triploid banana and verify that subgenome B harbors a rich source of resistance genes. Of the 88,078 and 94,988 annotated genes in Plantain and Silk, only 58.5% and 59.4% were present in all three subgenomes, with >50% genes containing differently expressed alleles in different haplotypes. We also found that Plantain is more resistant to banana Fusarium wilt, exhibiting a much faster defense response after pathogenic fungi infection. Many differentially expressed genes in abscisic acid, ethylene, jasmonic acid and salicylic acid pathways were identified in Plantain. Our analysis revealed that MpMYB36 promotes the biosynthesis of secondary cell wall and deposition of lignin by directly binding to the promoter of MpPAL and MpHCT, which allows Plantain to inhibit the penetration of early infection. Moreover, the insertion of the key carotenoid synthesis gene (CRTISO) may be the potential genetic basis for the richness of carotenoids in Plantain. Our study provides an unprecedented genomic basis for basic research and the development of elite germplasm in cultivated bananas.

plant biology↗

Semi-rational evolution of a recombinant DNA polymerase for modified nucleotide incorporation efficiency

Engineering improved B-family DNA polymerases to incorporate 3'-O-modified nucleotide reversible terminators is limited by an insufficient understanding of the structural determinants that define polymerization efficiency. To explore the key mechanism for unnatural nucleotide incorporation, we engineered a B-family DNA polymerase from Thermococcus Kodakaraenis (KOD pol) by using semi-rational design strategies. We first scanned the active pocket of KOD pol through site-directed saturation mutagenesis and combinatorial mutations and identified a variant Mut_C2 containing five mutation sites (D141A, E143A, L408I, Y409A, A485E) using a high-throughput microwell-based screening method. Mut_C2 demonstrated high catalytic efficiency in incorporating 3-O-azidomethyl-dATP labeled with a Cy3 dye, whereas the wild-type KOD pol failed to incorporate it. Computational simulations were then conducted towards the DNA binding region of KOD pol to predict additional mutations with enhanced catalytic activity, which were subsequently experimentally verified. By a stepwise combinatorial mutagenesis approach, we obtained an eleven-mutation variant, named Mut_E10 by introducing additional mutations to the Mut_C2 variant. Mut_E10, which carried six specific mutations (S383T, Y384F, V389I, V589H, T676K, and V680M) within the DNA-binding region, demonstrated over 20-fold improvement in kinetic efficiency as compared to Mut_C2. In addition, Mut_E10 demonstrated satisfactory performance in two different sequencing platforms (BGISEQ-500 and MGISEQ-2000), indicating its potential for commercialization. Our study demonstrates that an effective enhancement in its catalytic efficiency towards modified nucleotides can be achieved efficiently through combinatorial mutagenesis of residues in the active site and DNA binding region of DNA polymerase. These findings contribute to a comprehensive understanding of the mechanisms that underlie the incorporation of modified nucleotides by DNA polymerase. The beneficial mutation sites, as well as the nucleotide incorporation mechanism identified in this study, can provide valuable guidance for the engineering of other B-family DNA polymerases.

bioengineering↗

The timing of confidence computations in human prefrontal cortex

Knowing when confidence computations take place is critical for building mechanistic understanding of the neural and computational bases of metacognition. Yet, even though substantial amount of research has focused on revealing the neural correlates and computations underlying human confidence judgments, very little is known about the timing of confidence computations. Subjects judged the orientation of a briefly presented visual stimulus and provided a confidence rating regarding the accuracy of their decision. We delivered single pulses of transcranial magnetic stimulation (TMS) at different times after stimulus presentation. TMS was delivered to either dorsolateral prefrontal cortex (DLPFC) in the experimental group or to vertex in the control group. We found that TMS to DLPFC, but not to vertex, led to increased confidence in the absence of changes to accuracy or metacognitive ability. Critically, equivalent levels of confidence increase occurred for TMS delivered between 200 and 500 ms after stimulus presentation. These results suggest that confidence computations occur during a broad window that begins before the perceptual decision has been fully made and thus provide important constraints for theories of confidence generation.

neuroscience↗

Brain structure-function relationships across the human lifespan based on network eigenmodes

While brain function is considered to be tightly supported by the underlying structure, the connectome-based link estimated by current models is relatively moderate, leaving the structure-function relationship an ongoing challenge in neuroscience. Here, by proposing a novel mapping method based on network eigendecomposition, we present a concise and strong correspondence between structure and function. We show that the explanation of functional connectivity can be significantly improved by incorporating interactions between different structural eigenmodes, highlighting the potential importance of collective, higher-order coupling patterns between structure and function. We also demonstrate the pronounced advantage of the present mapping in capturing individual-specific information, and apply it to assess individual differences of structure-function coupling across the lifespan. We find that structure-function liberality weakens with age, which is driven by the decreases in functional components that are less constrained by anatomy, while the magnitude of structure-aligned components is preserved. Our results contribute to a more refined understanding of structure-function coupling and how it evolves with age.

neuroscience↗

Foxp3 Orchestrates Reorganization of Chromatin Architecture to Establish Regulatory T Cell Identity

Chromatin conformation reorganization is emerging as an important layer of regulation for gene expression and lineage specification. Yet, how lineage-specific transcription factors contribute to the establishment of cell type-specific 3D chromatin architecture in the immune cells remains unclear, especially for the late stages of T cell subset differentiation and maturation. Regulatory T cells (Treg) are mainly generated in the thymus as a subpopulation of T cells specializing in suppressing excessive immune responses. Here, by comprehensively mapping 3D chromatin organization during Treg cell differentiation, we show that Treg-specific chromatin structures were progressively established during its lineage specification, and highly associated with Treg signature gene expression. Additionally, the binding sites of Foxp3, a Treg lineage specifying transcription factor, were highly enriched at Treg-specific chromatin loop anchors. Further comparison of the chromatin interactions between wide-type Tregs versus Treg cells from Foxp3 knock-in/knockout or newly-generated Foxp3 domain-swap mutant mouse revealed that Foxp3 was essential for the establishment of Treg-specific 3D chromatin architecture, although it was not dependent on the formation of the Foxp3 domain-swapped dimer. These results highlighted an underappreciated role of Foxp3 in modulating Treg-specific 3D chromatin structure formation.

immunology↗

Dying cell-released exosomal CXCL1 promotes breast cancer metastasis by activating TAM/PD-L1 signaling

BackgroundEmerging evidence suggests that dying cell-released signals may induce cancer progression and metastasis by modulating the surrounding microenvironment. However, the underlying molecular mechanisms and targeting strategies are yet to be explored. MethodsApoptotic breast cancer cells induced by paclitaxel treatment were sorted and their released exosomes (exo-dead) were isolated from the cell supernatants. Chemokine array analysis was conducted to identify the crucial molecules in exo-dead. Zebrafish and mouse xenograft models were used to investigate the effect of exo-dead on breast cancer progression in vivo. Multiple molecular biological experiments were conducted to determine the underlying mechanisms of exo-dead in promoting breast cancer, as well as its intervention values. ResultsIt was demonstrated that exo-dead were phagocytized by macrophages and induced breast cancer metastasis by promoting the infiltration of immunosuppressive PD-L1+ TAMs. Chemokine array identified CXCL1 as a crucial component in exo-dead to activate TAM/PD-L1 signaling. Exosomal CXCL1 knockdown or macrophage depletion significantly inhibited exo-dead-induced breast cancer growth and metastasis. Mechanistic investigations revealed that CXCL1exo-dead enhanced TAM/PD-L1 signaling by transcriptionally activating EED-mediated PD-L1 promoter activity. More importantly, TPCA-1 (2-[(aminocarbonyl) amino]-5-(4-fluorophenyl)-3-thiophenecarboxamide) was screened as a promising inhibitor targeting exosomal CXCL1 signals to enhance paclitaxel chemosensitivity and limit breast cancer metastasis without noticeable toxicities. ConclusionsOur results highlight CXCL1exo-dead as a novel dying cell-released signal and provide TPCA-1 as a targeting candidate to improve breast cancer prognosis.

cancer biology↗

High-throughput screening of functional neo-antigens and their specific TCRs via the Jurkat reporter system combine with droplet microfluidics

T-cell receptor (TCR)-engineered T cells can precisely recognize a broad repertoire of targets derived from both intracellular and surface proteins of tumor cells. TCR-T adoptive cell therapy has shown safety and promising efficacy in solid tumor immunotherapy. However, antigen-specific functional TCR screening is time-consuming and expensive, which limits its application clinically. Here, we developed a novel integrated antigen-TCR screening platform based on droplet microfluidics technology, enabling high-throughput peptide-major histocompatibility complex (pMHC) library-to-TCR library screening with high sensitivity and low background signal. We introduced DNA barcoding technology to label peptide antigen candidate-loaded antigen-presenting cells (APCs) and Jurkat reporter cells to check the specificity of pMHC-TCR candidates. Coupled with the next-generation sequencing pipeline, interpretation of the DNA barcodes and the gene expression level of the Jurkat T-cell activation pathway provided a clear peptide-MHC-TCR recognition relationship. Our proof-of-principle study demonstrates that the platform could achieve unbiased pMHC-TCR library-on-library screening, which is expected to be used in the cross-reactivity and off-target testing of candidate pMHC-TCR libraries in clinical applications.

bioengineering↗

Comprehensive characterization of tumor microenvironment in colorectal cancer via histopathology-molecular analysis

PurposeTo explain how the tumor microenvironment (TME) contributes to biological and clinical heterogeneity of colorectal cancer (CRC). MethodsUsing multi-omics analysis, single cell transcriptomic sequencing analysis and artificial intelligence-enabled spatial analysis of whole-slide images, we performed a comprehensive characterization of TME in colorectal cancer (CCCRC). ResultsCRC samples were classified into four CCCRC subtypes with distinct TME features, namely, C1 as the proliferative subtype with low immunogenicity; C2 as the immunosuppressed subtype with the terminally exhausted immune characteristics; C3 as the immune-excluded subtype with the distinct upregulation of stromal components and a lack of T cell infiltration in tumor core; and C4 as the immunomodulatory subtype with the remarkable upregulation of anti-tumor immune components. The four CCCRC subtypes had distinct histopathological and molecular characteristics, therapeutic efficacy, and prognosis. The C1 subtype was more sensitive to chemotherapy, the C2 and C3 subtypes were more sensitive to WNT pathway inhibitor SB216763 and Hedgehog pathway inhibitor vismodegib, and the C4 subtype was suitable for ICB treatment. Finally, we established a single-sample gene classifier for identifying the CCCRC subtypes. ConclusionsOur integrative analyses ultimately established a holistic framework to thoroughly dissect the TME of CRC, and the CCCRC classification system with high biological interpretability might facilitate biomarker discoveries and clinical treatment decisions in the future.

cancer biology↗

A novel order-level lineage of ammonia-oxidizing Thaumarchaeota is widespread in marine and terrestrial environments

Ammonia-oxidizing archaea (AOA) are among the most ubiquitous and abundant groups of Archaea on Earth, widely distributed in marine, terrestrial, and geothermal ecosystems. However, the genomic diversity, biogeography, and evolutionary process of AOA populations in subsurface environments are vastly understudied compared to those of marine and soil AOA. We here report a novel AOA order Candidatus Nitrosomirales that forms a deeply branching basal sister lineage to the thermophilic Ca. Nitrosocaldales. Metagenomic and 16S rRNA gene read mapping demonstrates the dominant presence of Nitrosomirales AOA in various groundwater environments and their widespread distribution across a range of geothermal, terrestrial, and marine habitats. Notably, terrestrial Nitrosomirales AOA show the genetic capacity of using formate as an alternative source of reductant and appear to have acquired key metabolic genes and operons from other mesophilic populations via horizontal gene transfer, including the genes encoding urease, nitrite reductase, and V-type ATPase. Potential metabolic versatility and acquired functions may facilitate their radiation into a variety of subsurface, marine, and soil environments. Molecular thermometer-based evolutionary analysis suggests that Nitrosomirales originated from thermophilic environments and transitioned into temperate habitats in parallel with Nitrososphaerales and Nitrosopumilales. We also provide evidence that terrestrial-marine habitat transitions occurred within each one of the four AOA orders, which reveals a more complex evolutionary trajectory of major AOA lineages than previously proposed. Together, these findings establish a robust taxonomic and evolutionary framework of AOA and provide new insights into the ecology and evolution of this globally abundant functional guild.

microbiology↗

A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO1 for wheat spikelet number per spike shows no adverse effects on yield-related traits

Spikelet number per spike (SNS) is one of the crucial factors determining wheat yield. Thus, improving our understanding of the genes that regulate SNS could help develop higher-yielding wheat varieties. A genetic linkage map constructed using the GenoBaits Wheat 16K Panel and the 660K SNP array contained 5991 polymorphic SNP markers spanning 2813.26 cM. A total of twelve QTL for SNS were detected in the recombinant inbred line (RIL) population msf x Chuannong 16 (MC), and two of them, i.e., QSns.sau-MC-3D.1 and QSns.sau-MC-7A, were stably expressed. QSns.sau-MC-3D.1 had high LOD values ranging from 4.99 to 11.06 and explained 9.71-16.75% of the phenotypic variation. Comparison of QSns.sau-MC-3D.1 with previously reported SNS QTL suggested that it is likely a novel one. A kompetitive allele-specific PCR (KASP) marker, KASP-10, tightly linked to QSns.sau-MC-3D.1 was developed to successfully validate its effect in three segregated populations and a natural population. Genetic analysis indicated that WHEAT ORTHOLOG OFAPO1 (WAPO1) was a candidate gene for QSns.sau-MC-7A. The combined additive effect of QSns.sau-MC-3D.1 and WAP01 had a great additive effect increasing SNS by 7.10%. In addition, our results suggested that SNS is not affected by 1BL/1RS translocations in the MC RIL population. Correlation analysis between two major QTL and other agronomic traits showed that QSns.sau-MC-3D.1 was likely independent of these agronomic traits. However, the H2 haplotype of WAPO1 may affect effective tiller number and plant height. This indicated that the breeding potential of QSns.sau-MC-3D.1 is better than that of WAPO1. The geographical distribution of QSns.nsau-MC-3D.1 showed that QSns.sau-MC-3D.1 positive allele frequency was dominant in most wheat-producing regions of China and it has been positively selected among modern cultivars released in China since the 1940s. Two genes, TraesCS3D03G0222600 and TraesCS3D03G0216800, associated with SNS development were predicted in the physical interval of QSns.sau-MC-3D.1. qRT-PCR results of the two genes showed that only the expression level of TraesCS3D03G0216800 was significantly different between msf and CN16. These results enrich our understanding of the genetic basis of wheat SNS and will be useful for fine mapping and cloning of genes underlying QSns.sau-MC-3D.1, and provide a basis for marker-assisted selection breeding. Author summaryIn this study, we identified two major QTL (QSns.sau-MC-3D.1 and QSns.sau-MC-7A) in a RIL population. WAPO1 was demonstrated to be the candidate gene for QSns.sau-MC-7A. QSns.sau-MC-3D.1 was a novel and stably expressed QTL, and further confirmed in different genetic backgrounds. Our results further demonstrate that QSns.sau-MC-3D.1 has better breeding potential because of its no adverse effect on other agronomic traits than WAPO1, and it has been positively selected during Chinese breeding programs since the 1940s. Taken together, the identification of QSns.sau-MC-3D.1 offers a promising resource to further increase wheat yields.

genetics↗

MiR-302-Induced anti-aging neural stem cells enhance cognitive function and extend lifespan

Neural stem cells play a vital role in maintaining tissue stability and extending lifespan. Transplanting these cells to treat neurodegenerative diseases faces challenges like cellular aging, low viability, and immune rejection. We have effectively reprogrammed human fibroblasts into induced neural stem cells (iNSCs) via a single-factor miR-302a strategy, which converted skin fibroblasts into human-induced neural stem cells (hiNSCs) within 2-3 days. These cells showed delayed aging and increased resistance to oxidative stress compared to wild-type cells. Implanting them into the hippocampus of senescence-accelerated mice improved cognitive performance in severe Alzheimers, prolonged lifespan by 34%, increased fatigue resistance, and improved hair regeneration and reproductive capacity. Our findings suggest that miR-302a-hiNSCs can improve functional recovery in Alzheimers and promote healthy aging.

animal behavior and cognition↗

Mapping Neurophysiological Subtypes of Major Depressive Disorder Using Normative Models of the Functional Connectome

Major depressive disorder (MDD) is the most burdensome psychiatric disorder characterized by remarkably heterogeneous clinical phenotypes. It remains challenging to delineate the heterogeneity of neurobiological abnormalities underlying the clinical variance and, on this basis, to identify neurophysiological subtypes of MDD patients. Here, using a large multisite resting-state functional MRI data from 1,148 MDD patients and 1,079 healthy controls, we generated lifespan normative models of functional connectivity strengths, mapped the heterogeneity of patients individual deviations, and identified neurobiological MDD subtypes. MDD patients showed positive deviations mainly in the default mode and subcortical areas, and negative deviations widely distributed over the cortex. However, there was a great inter-subject heterogeneity as indicated by that no more than 3.14% of patients deviated from the normative range for any brain region. Two neurophysiological MDD subtypes were identified. Subtype 1 showed severe deviations with positive deviations in the default mode, limbic, and subcortical areas, and negative deviations in the sensorimotor, dorsal and ventral attention areas, while subtype 2 showed a moderate but conversed deviation pattern. The severe-deviation subtype had older age, higher medicated proportion, and higher Suicide item score, while the moderate-deviation subtype showed higher Work and Activities and Depressed Mood item scores. Moreover, the baseline deviations in the severe-deviation subtype were predictive of 6-month antidepressant treatment effects in a subsample. To our knowledge, the current study is the largest multisite analysis of neurophysiological MDD subtyping to date and the findings shed light on our understanding of the biological mechanisms underlying the intersubject heterogeneity of clinical phenotypes, which are informative for the development of personalized treatments for this disorder.

neuroscience↗

Missense mutations in CRX homeodomain cause dominant retinopathies through two distinct mechanisms

Homeodomain transcription factors (HD TFs) are instrumental to vertebrate development. Mutations in HD TFs have been linked to human diseases, but their pathogenic mechanisms remain elusive. Here we use Cone-Rod Homeobox (CRX) as a model to decipher the disease-causing mechanisms of two HD mutations, p.E80A and p.K88N, that produce severe dominant retinopathies. Through integrated analysis of molecular and functional evidence in vitro and in knock-in mouse models, we uncover two novel gain-of-function mechanisms: p.E80A increases CRX-mediated transactivation of canonical CRX target genes in developing photoreceptors; p.K88N alters CRX DNA-binding specificity resulting in binding at ectopic sites and severe perturbation of CRX target gene expression. Both mechanisms produce novel retinal morphological defects and hinder photoreceptor maturation distinct from loss-of-function models. This study reveals the distinct roles of E80 and K88 residues in CRX HD regulatory functions and emphasizes the importance of transcriptional precision in normal development.

genetics↗

Danicamtiv increases myosin recruitment and alters the chemomechanical cross bridge cycle in cardiac muscle

Modulating myosin function is a novel therapeutic approach in patients with cardiomyopathy. Detailed mechanism of action of these agents can help predict potential unwanted affects and identify patient populations that can benefit most from them. Danicamtiv is a novel myosin activator with promising preclinical data that is currently in clinical trials. While it is known danicamtiv increases force and cardiomyocyte contractility without affecting calcium levels, detailed mechanistic studies regarding its mode of action are lacking. Using porcine cardiac tissue and myofibrils we demonstrate that Danicamtiv increases force and calcium sensitivity via increasing the number of myosin in the "on" state and slowing cross bridge turnover. Our detailed analysis shows that inhibition of ADP release results in decreased cross bridge turnover with cross bridges staying on longer and prolonging myofibril relaxation. Using a mouse model of genetic dilated cardiomyopathy, we demonstrated that Danicamtiv corrected calcium sensitivity in demembranated and abnormal twitch magnitude and kinetics in intact cardiac tissue. Significance StatementDirectly augmenting sarcomere function has potential to overcome limitations of currently used inotropic agents to improve cardiac contractility. Myosin modulation is a novel mechanism for increased contraction in cardiomyopathies. Danicamtiv is a myosin activator that is currently under investigation for use in cardiomyopathy patients. Our study is the first detailed mechanism of how Danicamtiv increases force and alters kinetics of cardiac activation and relaxation. This new understanding of the mechanism of action of Danicamtiv can be used to help identify patients that could benefit most from this treatment.

physiology↗

Analysis of the Distal Urinary Tract in Larval and Adult Zebrafish Reveals Unrecognized Homology to the Human System

Little is known about the distal excretory component of the urinary tract in Danio rerio (zebrafish). This component is affected by many human diseases and disorders of development. Here, we undertook multi-level analyses to determine the structure and composition of the distal urinary tract in the zebrafish. In silico searches identified uroplakin 1a, 2-like and 3-like genes in the zebrafish genome (orthologues to genes that encode proteins that characterise the urothelium in humans). In situ hybridization demonstrated uroplakin-1a expression in the zebrafish pronephros and cloaca from 96 hours post-fertilisation. H&E sectioning of adult zebrafish demonstrated two mesonephric ducts uniting into a urinary bladder which leads to a distinct urethral opening. Immunohistochemistry identified Uroplakin 1a and 2 expression within the urothelial luminal surface and Gata3 expression in cell layers that match human urothelial expression. Fluorescent dye injections demonstrated urinary bladder function, including urine storage, intermittent micturition, and a urethral orifice separate from the larger anal canal and rectum. Our findings reveal homology between the urinary tracts of zebrafish and humans and offer the former as a model system to study disease. Summary StatementThe excretory components of the distal urinary tract in larval and adult zebrafish have been incompletely evaluated. Here, we demonstrate close homology in urinary tract anatomy between zebrafish and human, including the presence of a distinct adult urinary bladder capable of periodic micturition

evolutionary biology↗

EVIDENCE FOR ANGIOTENSIN II AS A NATURALLY EXISTING SUPPRESSOR FOR THE NATRIURETIC PEPTIDE SYSTEM

BackgroundNatriuretic peptide system (NPS) and renin angiotensin aldosterone system (RAAS) function oppositely at multiple levels. While it has long been suspected that angiotensin II (ANGII) may directly suppress NPS activity, no clear evidence to date support this notion. ObjectivesThis study was designed to systematically investigate ANGII-NPS interaction in humans, in vivo, and in vitro for translational insights. MethodsCirculating atrial, b-type, and c-type natriuretic peptides (ANP, BNP, CNP), cyclic guanosine monophosphate (cGMP), and ANGII were simultaneously investigated in 128 human subjects. Prompted hypothesis was validated in rat model to determine influence of ANGII on ANP actions. Multiple engineered HEK293 cells and surface plasmon resonance (SPR) technology were leveraged for mechanistic exploration. ResultsIn humans, ANGII showed inverse relationship with ANP, BNP, and cGMP. In regression models predicting cGMP, adding ANGII levels and interaction term between ANGII and natriuretic peptide increased predicting accuracy of base models constructed with either ANP or BNP, but not CNP. Importantly, stratified correlation analysis further revealed positive association between cGMP with ANP or BNP only in subjects with low, but not high, ANGII levels. In rats, co-infusion of ANGII even at physiological dose attenuated blood pressure reduction and cGMP generation triggered by ANP infusion. In vitro, we showed that the suppression effect of ANGII on ANP-stimulated cGMP requires the presence of ANGII type-1 (AT1) receptor and mechanistically involves protein kinase C (PKC), which can be substantially rescued by either valsartan (AT1 blocker) or Go6983 (PKC inhibitor). Using SPR, we showed ANGII has low affinity for particulate guanylyl cyclase A (GC-A) receptor binding compared to ANP or BNP. ConclusionsOur study reveals ANGII as a natural suppressor for cGMP-generating action of GC-A via AT1/PKC dependent manner and highlights importance of dual-targeting RAAS and NPS in maximizing beneficial properties of natriuretic peptides in cardiovascular disease. STRUCTURED GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/525806v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@6febe8org.highwire.dtl.DTLVardef@1e8e21corg.highwire.dtl.DTLVardef@54a98eorg.highwire.dtl.DTLVardef@47ade7_HPS_FORMAT_FIGEXP M_FIG C_FIG CLINICAL PERSPECTIVESAccumulating evidence continues to support the NPS as a promising therapeutic target via the function of the GC-A receptor and production of the second messenger cGMP for heart failure, hypertension, and other cardiovascular diseases. Improving our mechanistic understanding on GC-A/cGMP pathway regulation may further advance the development of novel NPS enhancing therapies. Here we report evidence from multiple avenues supporting a fundamental, yet previously underappreciated mechanism involving a negative action of ANGII in suppressing GC-A receptor-mediated cGMP production via an AT1 receptor-dependent manner. This study also provides a solid rationale for the superiority of combinatory neurohormonal therapies such as sacubitril/valsartan in treating cardiovascular disease, and further highlights a promising therapeutic avenue of dual targeting both the NPS and RAAS to maximize protection.

molecular biology↗

KDM2B regulates hippocampal morphogenesis by transcriptionally silencing Wnt signaling in neural progenitors

The hippocampus plays major roles in learning and memory. Similar to other parts of the brain, the development of hippocampus requires precise coordination of patterning, cell proliferation, differentiation, and migration, with both cell-intrinsic and extrinsic mechanisms involved. Here we genetically removed the chromatin-association capability of KDM2B - a key component of the variant Polycomb repressive complex 1 (PRC1) - in the progenitors of developing dorsal telencephalon (Kdm2b{Delta}CxxC) to surprisingly discover that the size of Kdm2b{Delta}CxxC hippocampus, particularly the dentate gyrus, became drastically smaller with disorganized cellular components and structure. Kdm2b{Delta}CxxC mice displayed prominent defects in spatial memory, motor learning and fear conditioning. The differentiation trajectory of the developing Kdm2b{Delta}CxxC hippocampus was greatly delayed, with a significant amount of TBR2-expressing intermediate progenitors stuck along the migratory/differentiation path. Transcriptome and chromatin immunoprecipitation studies of neonatal hippocampi and their progenitors indicated that genes implicated in stemness maintenance, especially components of canonical Wnt signaling, could not be properly silenced by PRC1 and PRC2. Activating the Wnt signaling disturbed hippocampal neurogenesis, recapitulating the effect of KDM2B loss. Together, we unveiled a previously unappreciated gene repressive program mediated by KDM2B that controls progressive fate specifications and cell migration, hence morphogenesis of hippocampus during development. Graphic AbstractLoss of KDM2B-CxxC reduces repressive histone modifications - H2AK119ub and H3K27me3 - on key Wnt signal genes, hence leading to the block of their attenuation over time. Hampered differentiation and migration of hippocampal progenitors leads to hippocampal agenesis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/525636v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@18fbbdborg.highwire.dtl.DTLVardef@17633f9org.highwire.dtl.DTLVardef@14e36b9org.highwire.dtl.DTLVardef@1eadb8a_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

RNA-to-image multi-cancer synthesis using cascaded diffusion models

Data scarcity presents a significant obstacle in the field of biomedicine, where acquiring diverse and sufficient datasets can be costly and challenging. Synthetic data generation offers a potential solution to this problem by expanding dataset sizes, thereby enabling the training of more robust and generalizable machine learning models. Although previous studies have explored synthetic data generation for cancer diagnosis, they have predominantly focused on single modality settings, such as whole-slide image tiles or RNA-Seq data. To bridge this gap, we propose a novel approach, RNA-Cascaded-Diffusion-Model or RNA-CDM, for performing RNA-to-image synthesis in a multi-cancer context, drawing inspiration from successful text-to-image synthesis models used in natural images. In our approach, we employ a variational auto-encoder to reduce the dimensionality of a patients gene expression profile, effectively distinguishing between different types of cancer. Subsequently, we employ a cascaded diffusion model to synthesize realistic whole-slide image tiles using the latent representation derived from the patients RNA-Seq data. Our results demonstrate that the generated tiles accurately preserve the distribution of cell types observed in real-world data, with state-of-the-art cell identification models successfully detecting important cell types in the synthetic samples. Furthermore, we illustrate that the synthetic tiles maintain the cell fraction observed in bulk RNA-Seq data and that modifications in gene expression affect the composition of cell types in the synthetic tiles. Next, we utilize the synthetic data generated by RNA-CDM to pretrain machine learning models and observe improved performance compared to training from scratch. Our study emphasizes the potential usefulness of synthetic data in developing machine learning models in sarce-data settings, while also highlighting the possibility of imputing missing data modalities by leveraging the available information. In conclusion, our proposed RNA-CDM approach for synthetic data generation in biomedicine, particularly in the context of cancer diagnosis, offers a novel and promising solution to address data scarcity. By generating synthetic data that aligns with real-world distributions and leveraging it to pretrain machine learning models, we contribute to the development of robust clinical decision support systems and potential advancements in precision medicine.

bioinformatics↗