Biology subjects

Du, F.

Publications and source records attributed to Du, F..

26 records · Page 2Linked to original sources

bioRxiv2022

rcCAE: a convolutional autoencoder based method for detecting tumor clones and copy number alterations from single-cell DNA sequencing data

Intra-tumor heterogeneity (ITH) is one of the major confounding factors that result in cancer relapse, and deciphering ITH is essential for personalized therapy. Single-cell DNA sequencing (scDNA-seq) now enables profiling of single-cell copy number alterations (CNAs) and thus aids in high-resolution inference of ITH. Here, we introduce an integrated framework called rcCAE, to accurately infer cell subpopulations and single-cell CNAs from scDNA-seq data. A convolutional autoencoder (CAE) is employed in rcCAE to learn latent representation of the cells as well as distill copy number information from noisy read counts data. This unsupervised representation learning via the CAE model makes it convenient to accurately cluster cells over the low-dimensional latent space, and detect single-cell CNAs from enhanced read counts data. Extensive performance evaluations on simulated datasets show rcCAE outperforms existing CNA calling methods, and is highly effective in inferring clonal architecture. Furthermore, evaluations of rcCAE on two real datasets demonstrate it is able to provide more refined clonal structure, of which some details are lost in clonal inference based on integer copy numbers.

bioinformatics↗

bioRxiv2020

Single-nucleus RNA-seq resolves spatiotemporal developmental trajectories in the tomato shoot apex

Single cell transcriptomics is revolutionizing our understanding of development and response to environmental cues1-3. Recent advances in single cell RNA sequencing (scRNA-seq) technology have enabled profiling gene expression pattern of heterogenous tissues and organs at single cellular level and have been widely applied in human and animal research4,5. Nevertheless, the existence of cell walls significantly encumbered its application in plant research. Protoplasts have been applied for scRNA-seq analysis, but mostly restricted to tissues amenable for wall digestion, such as root tips6-10. However, many cell types are resistant to protoplasting, and protoplasting may yield ectopic gene expression and bias proportions of cell types. Here we demonstrate a method with minimal artifacts for high-throughput single-nucleus RNA sequencing (snRNA-Seq) that we use to profile tomato shoot apex cells. The obtained high-resolution expression atlas identifies numerous distinct cell types covering major shoot tissues and developmental stages, delineates developmental trajectories of mesophyll cells, vasculature cells, epidermal cells, and trichome cells. In addition, we identify key developmental regulators and reveal their hierarchy. Collectively, this study demonstrates the power of snRNA-seq to plant research and provides an unprecedented spatiotemporal gene expression atlas of heterogeneous shoot cells.

plant biology↗

bioRxiv2020

Glutamatergic adaptation to stress in medial prefrontal cortex underlies risk and resilience for pessimistic beliefs

Stress is a major risk factor for the development of mental illness, including major depressive disorder (MDD), yet the underlying biological mechanisms remain unclear. Particular challenges lie in disentangling adaptive versus maladaptive responses to repeated stress exposure. Preclinically, stress-induced changes in glutamatergic function have been frequently observed in the medial prefrontal cortex (mPFC), a key region for mediating adaptive stress responses. Here, we examined stress-induced changes in mPFC glutamate using magnetic resonance spectroscopy (MRS) in four human samples varying in perceived stress exposure. Changes in mPFC glutamate following an acute stressor were reliably moderated by recent perceived stress in healthy controls. This adaptive glutamate response was absent in unmedicated individuals with MDD and was associated with excessively pessimistic beliefs as assessed via ecological momentary assessments over a 1-month follow-up period. Taken together, these data provide novel evidence for glutamatergic adaptation to stress in mPFC that is significantly disrupted in MDD.

neuroscience↗

bioRxiv2020

Reference-free and de novo Identification of Circular RNAs

BackgroundEarly studies have unveiled multiple regulatory functions of circular RNAs (circRNAs); however, accurate detection and quantification of circRNAs, especially in understudied organisms, is unsolved yet. ResultsIn this study, we developed a new reference-free method, namely Cirit, to de novo detect circRNAs with sequence support from the next generation sequencing (NGS) transcriptome. The Cirit showed remarkable performance in accurate detection and quantification of circRNAs via comparing with current methods from different aspects. Using Cirit, we detected 28,813 nonredundant human circRNAs from 91 transcriptome datasets, as well as 2,385 circRNAs from four understudied organisms. Subsequent analyses found that the majority of human circRNAs expressed spatiotemporally; only a very small portion of circRNAs were back-splice junction (BSJ)-consistent (maximally 5.17%) or sequence-consistent (under 2%). Furthermore, circRNA genesis were relatively flexible that only about 60% of human circRNAs used the canonical GT-AG pattern for back-splice. The inconsistent expression of circRNAs challenges their roles as precise transcriptional regulators. ConclusionsIn summary, the reference-free method provides a straightforward and universal way for reliable circRNA research. It will largely boost the successful rate in designing highly specific probes to monitor circRNA behavior in cell. In particular, it brings circRNA research to the organisms that have no genome or draft genome.

bioinformatics↗

bioRxiv2020

ECSIT prevents Alzheimer's disease pathology by regulating neuronal mitochondrial ROS and mitophagy

Altered mitochondrial fitness is a potential triggering factor in Alzheimers disease (AD). Mitochondrial quality control pathways are dysfunctional and mitochondrially-derived reactive oxygen species (mROS) levels are increased in AD patient brains. However, the pathways responsible for dysregulated mROS accumulation have remained relatively unclear. In this study, we demonstrate that levels of ECSIT, a mitochondrial oxidative phosphorylation (OxPhos) complex I (CI)-associated protein, are reduced in AD-affected brains. Neuronal ECSIT downregulation increased mROS generation and impaired mitophagy of defective mitochondria. Consequently, decreasing neuronal ECSIT caused AD-like changes, including memory loss and neuropathology. In contrast, augmented neuronal expression of ECSIT protected against the development of an AD-like phenotype. Decreased levels of ECSIT in AD patient brains therefore likely contribute to oxidative stress, neuroinflammation and AD pathogenesis.

neuroscience↗

bioRxiv2019

A microtubule-mediated mechanical feedback controls leaf blade development in three dimensions

Many plant species have thin leaf blades, which is an important adaptation that optimizes the exchanges with the environment. Here, we provide evidence that their three-dimensional geometry is governed by microtubule alignment along mechanical stress patterns in internal walls. Depending on the primary shape of the primordium, this process has the potential to amplify an initial degree of flatness, or promote the formation of nearly axisymmetric, mostly elongating organs, such as stems and roots. This mechanism may explain leaf evolution from branches, which is alternative to Zimmermanns influential, but widely questioned, telome theory.\n\nOne Sentence SummaryMechanical feedback controls leaf development in three dimensions

developmental biology↗

bioRxiv2018

Proximal recolonization by self-renewing microglia re-establishes microglial homeostasis in the adult mouse brain

Microglia are resident immune cells that play critical roles in maintaining normal physiology of the central nervous system. Remarkably, microglia have intrinsic capacity to replenish after being acutely ablated. However, the underlying mechanisms that drive such microglial restoration remain elusive. Here, we removed microglia via CSF1R inhibitor PLX5622 and characterized repopulation both spatially and temporally. We also investigated the cellular origin of repopulated microglia and report that microglia are replenished via self-renewal, with little contribution from non-microglial lineage progenitors, including nestin+ progenitors and the circulating myeloid population. Interestingly, spatial analyses with multi-color labeling reveal that newborn microglia recolonize the parenchyma by forming distinctive clusters that maintain stable territorial boundaries over time, indicating proximal expansion nature of adult microgliogenesis and stability of microglia tiling. Temporal transcriptome profiling from newborn microglia at different repopulation stages revealed that the adult newborn microglia gradually regain steady-state maturity from an immature state that is reminiscent of neonatal stage and follow a series of maturation programs that include NF-{kappa}B activation, interferon immune activation and apoptosis, etc. Importantly, we show that the restoration of microglial homeostatic density requires NF-{kappa}B signaling as well as apoptotic egress of excessive cells. In summary, our study reports key events that take place from microgliogenesis to homeostasis re-establishment.

neuroscience↗

bioRxiv2018

Uniform distribution of 35S promoter-driven mDII auxin control sensor in leaf primordia

The DII sensor has been an invaluable tool to map spatiotemporal auxin response and distribution in the model plant Arabidopsis thaliana. The DII sensor and mDII control sensor are driven by the widely used constitutive 35S promoter. However, the reliability of DII sensor has recently been questioned (Bhatia and Heisler, 2018). Here we provide additional evidence to show that the mDII control sensor is indeed uniformly distributed in early leaf primordia, which echoes the original reports (Vernoux et al., 2011; Brunoud et al., 2012). We also use DII/mDII and the PRS5A promoter-driven R2D2 sensors to confirm asymmetric auxin signaling in early leaf primordia. On the other hand, we provide evidence that light penetration may lead to artifacts during whole-mount imaging.

plant biology↗