Biology subjects

Chang, J.

Publications and source records attributed to Chang, J..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Activation of two noncanonical R proteins by an insect effector confers plant immunity to aphid infestation

Molecular characterization of resistance genes is crucial for efficiently understanding and fortifying plant immunity against insect herbivores. Here we report that RMES1A and RMES1B proteins confer resistance to the sorghum aphid Melanaphis sorghi when activated by an insect effector MsEF1. Map-based cloning plus genetic analysis of knockout mutants confirm that RMES1A and RMES1B are both required for aphid resistance. Upon aphid attack, RMES1A and RMES1B expression is elevated in the sclerenchyma cells and vascular bundles of leaves; the two proteins interact with MsEF1 in the exocysts, thus upregulating key defense processes such as reactive oxygen species burst. Structural modeling predicts that RMES1A and RMES1B each carry an ATP binding site and two leucine-rich-repeat domains but lack coiled-coil or Toll/Interleukin-1 receptor/resistance domain, thus likely representing a new type of resistance controlling proteins in plants. Our work reveals new genes and mechanisms for further deciphering and improving plant immunity to insect pests.

genetics↗

bioRxiv2024

Diet-microbiome interactions promote enteric nervous system resilience following spinal cord injury

Spinal cord injury (SCI) results in a plethora of physiological dysfunctions across all body systems, including intestinal dysmotility and atrophy of the enteric nervous system (ENS). Typically, the ENS has capacity to recover from perturbation, so it is unclear why intestinal pathophysiologies persist after traumatic spinal injury. With emerging evidence demonstrating SCI-induced alterations to the gut microbiome composition, we hypothesized that modulation of the gut microbiome could contribute to enteric nervous system recovery after injury. Here, we show that intervention with the dietary fiber, inulin prevents ENS atrophy and limits SCI-induced intestinal dysmotility in mice. However, SCI-associated microbiomes and exposure to specific SCI-sensitive gut microbes are not sufficient to modulate injury-induced intestinal dysmotility. Intervention with microbially-derived short-chain fatty acid (SCFA) metabolites prevents ENS dysfunctions and phenocopies inulin treatment in injured mice, implicating these microbiome metabolites in protection of the ENS. Notably, inulin-mediated resilience is dependent on signaling by the cytokine IL-10, highlighting a critical diet-microbiome-immune axis that promotes ENS resilience following SCI. Overall, we demonstrate that diet and microbially-derived signals distinctly impact recovery of the ENS after traumatic spinal injury. This protective diet-microbiome-immune axis may represent a foundation to uncover etiological mechanisms and future therapeutics for SCI-induced neurogenic bowel.

neuroscience↗

bioRxiv2024

MIPDB: A maize image-phenotype database with multi-angle and multi-time characteristics

Plant phenomics has become one of the most significant scientific fields in recent years. However, typical phenotyping procedures have low accuracy, low throughput, and are labor-intensive and time-consuming. Large-scale phenotypic collection equipment, on the other hand, is pricy, rigid, and inconvenient. The advancement of phenomics has been hampered by these restrictions. Lightweight picture collection equipment can now be used to capture plant phenotypic data thanks to the development of deep learning-based image identification. For the purpose of training the model, this approach needs high-quality annotated datasets. In this study, we used a handheld camera to gather multi-angle, multi-time series images and an unmanned aerial vehicle (UAV) to create a maize image phenotyping database (MIPDB). Over 30,000 high-resolution photos are available in the MIPDB, with 17,631 of those images having been carefully tagged with point-line method. The MIPDB can be accessed by the general public at http://phenomics.agis.org.cn. We anticipate that the availability of this superior dataset will stimulate a new revolution in crop breeding and advance deep learning-based phenomics research.

plant biology↗

bioRxiv2024

Liming enhances the abundance and stability of nitrogen-cycling microbes: The buffering effect of long-term lime application

Lime application (liming) has historically been used to ameliorate soil acidity in grasslands. Liming effectively improves soil pH, plant productivity, and soil physicochemical properties, but the long-term impact of acidity control by liming on key microbial nitrogen (N)-cycling genes in semi-natural grasslands is unknown. We investigated the effect of 65 years of liming on N-cycling processes in the limed and control plots of the Ossekampen long-term grassland experiment in the Netherlands. These plots have not received any other fertilizers for 65 years. Soil sampling and nitrous oxide (N2O) emission measurements were conducted three times in spring and four times in summer, and quantitative real-time PCR was performed to determine the abundances of N-cycling genes, including ammonia-oxidation (amoA), denitrification (nirS, nirK, nosZ), and N-fixation (nifH) genes. Long-term liming increased the abundances of nitrifiers and denitrifiers but did not increase N2O emissions. Additionally, liming had a buffering effect that stabilized the population of N-cycling microbes against seasonal variations in abundance. Our results indicate that improving soil acidity through liming facilitates microbial N-cycling processes without increasing N2O emissions. HighlightsO_LI65 years of liming increased bacterial but not archaeal and fungal community abundance. C_LIO_LILiming increased the abundance of microbial N-cycling genes. C_LIO_LIThe buffering effect of liming reduced seasonal variations in the abundance of N microbes. C_LI

microbiology↗

bioRxiv2024

Selective enrichment of Methylococcaceae versus Methylocystaceae methanotrophs via control of methane feeding scheme

Methanotrophs are crucial in keeping environmental CH4 emissions in check. However, how different groups of methanotrophs contribute to this important role in different environmental settings remain ambiguous. Here, in a simplified laboratory setting of well-mixed batch reactors fed continuous flow of CH4-containing gas, methanotrophic microbiomes were enriched from paddy soils under six different incubation conditions prepared as combinations of two different CH4 mixing ratios (0.5% and 10% v/v) and three supplemented Cu2+ concentrations (0, 2, and 10 M). Monitoring of the temporal community shifts in the reactor microbiomes observed domination of Methylocystis spp. in all three reactors fed 0.5% v/v, as further supported by the analyses of pmoCAB genes in the shotgun metagenomes of the single-point samples from the same reactors. Copper deficiency did not select for mmoXYZ-possessing methanotrophs. Instead, a cluster of mbn genes with an abundance accounting for approximately 5% of Methylocystis population was identified, suggesting a comparative ecological importance of methanobactin in Cu-deficient methanotrophy over soluble methane monooxygenases. These findings highlight the importance of Methylocystis spp. in mitigating emissions from CH4 hotspots, e.g., landfills and rice paddies, and suggest the feasibility of directed enrichment/isolation of Methylocystis spp. for utilization in, for example, methanobactin and polyhydroxybutyrate production. SynopsisThis study reports enrichment of a complex soil microbiota with 0.5% methane resulting in dominance of a specific group of methane-consuming bacteria Methylocystis, highlighting their ecological significance as CH4 sink.

microbiology↗

bioRxiv2024

Diet-induced metabolic and immune impairments are sex-specifically modulated by soluble TNF signaling in the 5xFAD mouse model of Alzheimers disease

Emerging evidence indicates that high-fat, high carbohydrate diet (HFHC) impacts central pathological features of Alzheimers disease (AD) across both human incidences and animal models. However, the mechanisms underlying this association are poorly understood. Here, we identify compartment-specific metabolic and inflammatory dysregulations that are induced by HFHC diet in the 5xFAD mouse model of AD pathology. We observe that both male and female 5xFAD mice display exacerbated adiposity, cholesterolemia, and dysregulated insulin signaling. Independent of biological sex, HFHC diet also resulted in altered inflammatory cytokine profiles across the gastrointestinal, circulating, and central nervous systems (CNS) compartments demonstrating region-specific impacts of metabolic inflammation. In male mice, we note that HFHC triggered increases in amyloid beta, an observation not seen in female mice. Interestingly, inhibiting the inflammatory cytokine, soluble tumor necrosis factor (TNF) with the brain-permeant soluble TNF inhibitor XPro1595 was able to restore aspects of HFHC-induced metabolic inflammation, but only in male mice. Targeted transcriptomics of CNS regions revealed that inhibition of soluble TNF was sufficient to alter expression of hippocampal and cortical genes associated with beneficial immune and metabolic responses. Collectively, these results suggest that HFHC diet impairs metabolic and inflammatory pathways in an AD-relevant genotype and that soluble TNF has sex-dependent roles in modulating these pathways across anatomical compartments. Modulation of energy homeostasis and inflammation may provide new therapeutic avenues for AD. HighlightsO_LIHFHC diet triggers metabolic and inflammatory dysregulation in 5xFAD mice C_LIO_LIA{beta}42 and A{beta}40 increase in the CNS of male 5xFAD mice fed a HFHC diet. C_LIO_LISolTNF inhibition partially reverts HFHC diet-induced metabolic and inflammatory dysregulation in male, but not female, 5xFAD mice. C_LI

neuroscience↗

bioRxiv2024

Rational protein engineering to enhance MHC-independent T cell receptors

Chimeric antigen receptor (CAR)-based therapies have pioneered synthetic cellular immunity against cancer, however remain limited in their scope and long-term efficacy. Emerging data suggest that dysregulated CAR-driven T cell activation causes T cell dysfunction and therapeutic failure. To re-engage the endogenous T cell response, we designed hybrid MHC-independent T cell receptors (miTCRs) by linking antibody variable domains to TCR constant domains. While functional, we observed stark differences in miTCR-driven T cell function that were dependent on receptor orientation. Using predictive structural modeling, we observed significant biochemical conflicts at the hybrid variable-constant domain interface. To overcome this, we performed iterative sequence modifications and structural modeling to design a panel of miTCR variants predicted to have improved interface stability. Functional screening nominated a variant with superior efficacy to all other miTCRs as well as a standard CAR against high burdens of leukemia. Statement of SignificanceImproving the durability of engineered T cell immunotherapies is critical to enhancing efficacy. We used structure-informed design to evolve MHC-independent T cell receptors that drive improved tumor control. This work underscores the central role of synthetic receptor structure on T cell function and provides a framework for improved receptor engineering.

immunology↗

bioRxiv2024

Comparative analysis of retroviral Gag-host cell interactions: focus on the nuclear interactome

Retroviruses exploit a variety of host proteins to assemble and release virions from infected cells. To date, most studies that examined possible interacting partners of retroviral Gag proteins focused on host proteins that localize primarily to the cytoplasm or plasma membrane. Given the recent findings that several full-length Gag proteins localize to the nucleus, identifying the Gag-nuclear interactome has high potential for novel findings that reveal previously unknown host processes. In this study, we systematically compared nuclear factors identified in published HIV-1 proteomic studies which had used a variety of experimental approaches. In addition, to contribute to this body of knowledge, we report results from a mass spectrometry approach using affinity-tagged (His6) HIV-1 and RSV Gag proteins mixed with nuclear extracts. Taken together, the previous studies--as well as our own--identified potential binding partners of HIV-1 and RSV Gag involved in several nuclear processes, including transcription, splicing, RNA modification, and chromatin remodeling. Although a subset of host proteins interacted with both Gag proteins, there were also unique host proteins belonging to each interactome dataset. To validate one of the novel findings, we demonstrated the interaction of RSV Gag with a member of the Mediator complex, Med26, which is required for RNA polymerase II-mediated transcription. These results provide a strong premise for future functional studies to investigate roles for these nuclear host factors that may have shared functions in the biology of both retroviruses, as well as functions specific to RSV and HIV-1, given their distinctive hosts and molecular pathology.

microbiology↗

bioRxiv2024

Recognition and localization of maize leaves in RGB images based on Point-Line Net

Plant phenotype detection plays a crucial role in understanding and studying plant biology, agriculture, and ecology. It involves the quantification and analysis of various physical traits and characteristics of plants, such as plant height, leaf shape, angle, number, and growth trajectory. By accurately detecting and measuring these phenotypic traits, researchers can gain insights into plant growth, development, stress tolerance, and the influence of environmental factors. Among these phenotypic information, the number of leaves and growth trajectory of the plant are more accessible. Nonetheless, obtaining these information is labor-intensive and financially demanding. With the rapid development of computer vision technology and artificial intelligence, using maize field images to fully analyze plant-related information such as growth trajectory and number of leaves can greatly eliminate repetitive labor work and enhance the efficiency of plant breeding. However, the application of deep learning methods still faces challenges due to the serious occlusion problem and complex background of field plant images. In this study, we developed a deep learning method called Point-Line Net, which is based on the Mask R-CNN frame-work, to automatically recognize maize field images and determine the number and growth trajectory of leaves and roots. The experimental results demonstrate that the object detection accuracy (mAP) of our Point-Line Net can reach 81.5%. Moreover, to describe the position and growth of leaves and roots, we introduced a new lightweight "keypoint" detection branch that achieved 33.5 using our custom distance verification index. Overall, these findings provide valuable insights for future field plant phenotype detection, particularly for the datasets with dot and line annotations.

plant biology↗

bioRxiv2024

Pharmacogenomic discovery of genetically targeted cancer therapies optimized against clinical outcomes

Despite the clinical success of dozens of genetically targeted cancer therapies, the vast majority of patients with tumors caused by loss-of-function (LoF) mutations do not have access to these treatments. This is primarily due to the challenge of developing a drug that treats a disease caused by the absence of a protein target. The success of PARP inhibitors has solidified synthetic lethality (SL) as a means to overcome this obstacle. Recent mapping of SL networks using pooled CRISPR-Cas9 screens is a promising approach for expanding this concept to treating cancers driven by additional LoF drivers. In practice, however, translating signals from cell lines, where these screens are typically conducted, to patient outcomes remains a challenge. We developed a pharmacogemic (PGx) approach called "Clinically Optimized Driver Associated PGx" (CODA-PGx) that accurately predicts genetically targeted therapies with clinical-stage efficacy in specific LoF driver contexts. Using approved targeted therapies and cancer drugs with available real-world evidence and molecular data from hundreds of patients, we discovered and optimized the key screening principles predictive of efficacy and overall patient survival. In addition to establishing basic technical conventions, such as drug concentration and screening kinetics, we found that replicating the driver perturbation in the right context, as well as selecting patients where those drivers are genuine founder mutations, were key to accurate translation. We used CODA-PGX to screen a diverse collection of clinical stage drugs and report dozens of novel LoF genetically targeted opportunities; many validated in xenografts and by real-world evidence. Notable examples include treating STAG2-mutant tumors with Carboplatin, SMARCB1-mutant tumors with Oxaliplatin, and TP53BP1-mutant tumors with Etoposide or Bleomycin. One Sentence SummaryWe identified principles of pharmacogenomic screening that predict clinical efficacy in cancer patients with specific driver mutations.

cancer biology↗

bioRxiv2023

Chikungunya-virus-specific CD4+ T cells are associated with chronic chikungunya viral arthritic disease in humans

Chikungunya virus (CHIKV) is a mosquito-borne re-emerging viral infection that can cause chronic chikungunya viral arthritic disease (CHIKVD), which is characterized by incapacitating arthralgia and inflammation that can last for months to years following infection. Despite CHIKV outbreaks occurring worldwide and several vaccines currently in development, immune responses to CHIKV in humans remains largely understudied, and targets of T cell response are currently unknown. In this study, we tested peripheral blood mononuclear cells (PBMCs) collected from patients diagnosed with CHIKV infection during the 2014-2015 outbreak in Colombia against pools of overlapping peptides sequentially spanning each CHIKV protein. Using high-resolution flow cytometry, we detected robust CHIKV-specific CD4+, but not CD8+ T cell responses, in these patients. Patients still experiencing disease symptoms six years after infection displayed significantly stronger CHIKV- specific CD4+ T cell responses against nsP1, nsP2 and E2 proteins, compared to patients that resolved the infection. CHIKV-specific CD4+ T cells in symptomatic patients displayed a significantly lower Th1 CD4+ helper T cell responses and were enriched within the Th17 CD4+ helper subset, identifying tumor necrosis factor-alpha (TNF) as the predominantly produced cytokine. In conclusion, this study comprehensively characterizes the T cell response against CHIKV in humans during the chronic phase and provides insights into the role of T cells and possible treatment of CHIKVD.

immunology↗

bioRxiv2023

Identification of new markers of angiogenic sprouting using transcriptomics: New role for RND3

BackgroundNew blood vessel formation requires endothelial cells to transition from a quiescent to an invasive phenotype. Transcriptional changes are vital for this switch, but a comprehensive genome-wide approach focused exclusively on endothelial cell sprout initiation has not been reported. Approach and ResultsUsing a model of human endothelial cell sprout initiation, we developed a protocol to physically separate cells that initiate the process of new blood vessel formation (invading cells) from non-invading cells. We used this model to perform multiple transcriptomics analyses from multiple donors to monitor endothelial gene expression changes. Single-cell Population Analyses, single-cell Cluster Analyses, and bulk RNA sequencing were used to delineate transcriptomic changes in invading cells. The results revealed a 39 gene signature that was consistent with activation of signal transduction, morphogenesis, and immune responses. Many of the genes were previously shown to regulate angiogenesis, and include multiple tip cell markers. Upregulation of SNAI1, PTGS2, and JUNB protein expression was confirmed in invading cells, and silencing JunB and SNAI1 significantly reduced invasion responses. Separate studies investigated Rounding 3 (RND3), also known as RhoE, which has not yet been implicated in angiogenesis. Silencing RND3 reduced endothelial invasion distance as well as filopodia length, fitting with a pathfinding role for RND3 via regulation of filopodial extensions. Analysis of in vivo retinal angiogenesis in Rnd3 heterozygous mice confirmed a decrease in filopodial length compared to wild type littermates. ConclusionValidation of multiple genes, including RND3, revealed a functional role for this gene signature early in the angiogenic process. This study expands the list of genes that are associated with the acquisition of a tip cell phenotype during endothelial cell sprout initiation. HIGHLIGHTSO_LITranscriptomic analyses identified 39 candidate genes that were upregulated at the onset of endothelial sprouting C_LIO_LIThe gene signature includes signal transduction, morphogenesis, and immune responses C_LIO_LINewly-identified RND3 is associated with filopodial extension and pathfinding C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=190 SRC="FIGDIR/small/563021v1_ufig1.gif" ALT="Figure 1"> View larger version (92K): org.highwire.dtl.DTLVardef@1045439org.highwire.dtl.DTLVardef@1357703org.highwire.dtl.DTLVardef@1189cf2org.highwire.dtl.DTLVardef@e7d574_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2023

RNF213 variant and autophagic impairment: A pivotal link to endothelial dysfunction in Moyamoya disease

BackgroundMoyamoya disease (MMD) is closely associated with the Ring Finger Protein 213 (RNF213), a susceptibility gene for this disease. However, its biological function remains unclear. We aimed to elucidate the role of RNF213 in the damage incurred by human endothelial cells under oxygen-glucose deprivation (OGD), a condition that mimics intracranial ischemia in patients with MMD. MethodsWe analyzed autophagy in peripheral blood mononuclear cells (PBMCs) derived from patients carrying either RNF213 wild-type (WT) or variant (R4810K). Subsequently, human umbilical vein endothelial cells (HUVECs) were transfected with RNF213 WT (HUVECWT) or R4810K (HUVECR4810K) and exposed to OGD for 2 h to determine the role of the RNF213 variant in such a setting. Immunoblotting was used to analyze autophagy marker proteins, and tube formation assays were performed to examine endothelial function. Autophagic vesicles were observed using transmission electron microscopy. Post-OGD exposure, we administered autophagy modulators such as rapamycin and cilostazol. ResultsThe RNF213 variant group during post-OGD exposure (vs. pre-OGD exposure) showed autophagy inhibition, increased protein expression of SQSTM1/p62 (p < 0.0001) and LC3-II (p = 0.0039), and impaired endothelial function (p = 0.0252). HUVECR4810K during post-OGD exposure (versus pre-OGD exposure) showed a remarkable increase in autophagic vesicles. Administration of autophagy modulators notably restored the function of HUVECR4810K and cellular autophagy. ConclusionsOur findings support the pivotal role of autophagy impaired by the RNF213 variant in MMD-induced endothelial cell dysfunction and underscore the critical mechanism of autophagy leading to progressive endothelial dysfunction and MMD pathogenesis under relative ischemia within the intracranial portion.

neuroscience↗

bioRxiv2023

CD36-Pyruvate Kinase M2 Signaling Promotes Macrophage Phagocytosis Through Mitochondrial Reactive Oxygen Species

Macrophage efferocytosis, the process by which phagocytes engulf and remove apoptotic cells (ACs), plays a critical role in maintaining tissue homeostasis. Efficient efferocytosis prevents secondary necrosis, mitigates chronic inflammation, and impedes atherosclerosis progression. However, the regulatory mechanisms of efferocytosis under atherogenic conditions remain poorly understood. We previously demonstrated that oxidized LDL (oxLDL), an atherogenic lipoprotein, induces mitochondrial reactive oxygen species (mtROS) in macrophages via CD36. In this study, we demonstrate that macrophage mtROS facilitate continual efferocytosis through a positive feedback mechanism. However, oxLDL disrupts continual efferocytosis by dysregulating the internalization of ACs. This disruption is mediated by an overproduction of mtROS. Mechanistically, oxLDL/CD36 signaling promotes the translocation of cytosolic PKM2 to mitochondria, facilitated by the chaperone GRP75. Mitochondrial PKM2 then binds to Complex III of the electron transport chain, inducing mtROS production. This study elucidates a novel regulatory mechanism of efferocytosis in atherosclerosis, providing potential therapeutic targets for intervention. SUMMARYMacrophages clear apoptotic cells through a process called efferocytosis, which involves mitochondrial ROS. However, the atherogenic oxidized LDL overstimulates mitochondrial ROS via the CD36-PKM2 pathway, disrupting continual efferocytosis. This finding elucidates a novel molecular mechanism that explains defects in efferocytosis, driving atherosclerosis progression.

immunology↗

bioRxiv2023

Scavenger receptor class B type I is required for efficient glucose uptake and metabolic homeostasis in adipocytes

Obesity is a worldwide epidemic and places individuals at a higher risk for developing comorbidities that include cardiovascular disease and type 2 diabetes. Adipose tissue contains adipocytes that are responsible for lipid metabolism and reducing misdirected lipid storage. Adipocytes facilitate this process through insulin-mediated uptake of glucose and its subsequent metabolism into triglycerides for storage. During obesity, adipocytes become insulin resistant and have a reduced ability to mediate glucose import, thus resulting in whole-body metabolic dysfunction. Scavenger receptor class B type I (SR-BI) has been implicated in glucose uptake in skeletal muscle and adipocytes via its native ligands, apolipoprotein A-1 and high-density lipoproteins. Further, SR-BI translocation to the cell surface in adipocytes is sensitive to insulin stimulation. Using adipocytes differentiated from ear mesenchymal stem cells isolated from wild-type and SR-BI knockout (SR-BI-/-) mice as our model system, we tested the hypothesis that SR-BI is required for insulin-mediated glucose uptake and regulation of energy balance in adipocytes. We demonstrated that loss of SR-BI in adipocytes resulted in inefficient glucose uptake regardless of cell surface expression levels of glucose transporter 4 compared to WT adipocytes. We also observed reduced glycolytic capacity, increased lipid biosynthesis, and dysregulated expression of lipid metabolism genes in SR-BI-/- adipocytes compared to WT adipocytes. These results partially support our hypothesis and suggest a novel role for SR-BI in glucose uptake and metabolic homeostasis in adipocytes.

biochemistry↗

bioRxiv2023

High-throughput and genome-scale targeted mutagenesis using CRISPR in a non-model multicellular organism, Bombyx mori

Large-scale genetic mutant libraries are powerful approaches to interrogating genotype-phenotype correlations and identifying genes responsible for certain environmental stimuli, both of which are the central goal of life science study. We produced the first large-scale CRISPR/Cas9-induced library in a non-model multicellular organism, Bombyx mori. We developed a piggyBac-delivered binary genome editing strategy, which can simultaneously meet the requirements of mixed microinjection, efficient multi-purpose genetic operation, and preservation of growth-defect lines. We constructed a single-guide RNA (sgRNA) plasmid library containing 92,917 sgRNAs targeting promoters and exons of 14,645 protein-coding genes, established 1726 transgenic sgRNA lines following microinjection of 66,650 embryos, and generated 300 mutant lines with diverse phenotypic changes. Phenomic characterization of mutant lines identified a large set of genes responsible for visual phenotypic or economically valuable trait changes. Next, we performed pooled context-specific positive screens for tolerance to environmental pollute cadmium exposure, and identified KWMTBOMO12902 as a strong candidate gene for breeding applications in sericulture industry. Collectively, our results provide a novel and versatile approach for functional B. mori genomics, and a powerful resource for identifying key candidate genes potential for improving various economic traits. This study also demonstrates the effectiveness, practicality, and convenience of large-scale mutant libraries in other non-model organisms.

genomics↗

bioRxiv2023

Single Cell Portal: an interactive home for single-cell genomics data

Single-cell omics research has the power to leave a deep impact on modern healthcare. Sharing data widely and freely advances this progress in both the academic and clinical spheres. We developed the Single Cell Portal (SCP) to maximize the impact of this work. SCP enables data sharing, supports dynamic results visualization, and facilitates scientific exploration across a large repository of single-cell datasets. SCPs data contributors maintain full control over how their data are shared and presented, without requiring web development expertise. Finally, SCP supports the entire lifecycle of a research project, from sparking an idea, to fine-tuning the data with collaborators, to sharing results in an accessible and interactive way. This paper highlights the most valuable ways in which SCP helps to advance single-cell research.

scientific communication and education↗

bioRxiv2023

Rescuing missing data in connectome-based predictive modeling

Recent evidence suggests brain-behavior predictions may require very large sample sizes. However, as the sample size increases, the amount of missing data also increases. Conventional methods, like complete-case analysis, discard useful information and shrink the sample size. To address the missing data problem, we investigated rescuing these missing data through imputation. Imputation is the substitution of estimated values for missing data to be used in downstream analyses. We integrated imputation methods into the Connectome-based Predictive Modeling (CPM) framework. Utilizing four open-source datasets--the Human Connectome Project, the Philadelphia Neurodevelopmental Cohort, the UCLA Consortium for Neuropsychiatric Phenomics, and the Healthy Brain Network (HBN)--we validated and compared our framework with different imputation methods against complete-case analysis for both missing connectomes and missing phenotypic measures scenarios. Imputing connectomes exhibited superior prediction performance on real and simulated missing data as compared to complete-case analysis. In addition, we found that imputation accuracy was a good indicator for choosing an imputation method for missing phenotypic measures but not informative for missing connectomes. In a real-world example predicting cognition using the HBN, we rescued 628 individuals through imputation, doubling the complete case sample size and increasing explained variance by 45%. Together, our results suggest that rescuing data with imputation, as opposed to discarding subjects with missing information, improves prediction performance.

neuroscience↗