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Lee, C.

Publications and source records attributed to Lee, C..

At least 217 records · Page 12Linked to original sources

Cell-Type Specific Responses to Associative Learning in the Primary Motor Cortex

The primary motor cortex (M1) is known to be a critical site for movement initiation and motor learning. Surprisingly, it has also been shown to possess reward-related activity, presumably to facilitate reward-based learning of new movements. However, whether reward-related signals are represented among different cell types in M1, and whether their response properties change after cue-reward conditioning remains unclear. Here, we performed longitudinal in vivo two-photon Ca2+ imaging to monitor the activity of different neuronal cell types in M1 while mice engaged in a classical conditioning task. Our results demonstrate that most of the major neuronal cell types in M1 showed robust but differential responses to both cue and reward stimuli, and their response properties undergo cell-type specific modifications after associative learning. PV-INs responses became more reliable to the cue stimulus, while VIP-INs responses became more reliable to the reward stimulus. PNs only showed robust response to the novel reward stimulus, and they habituated to it after associative learning. Lastly, SOM-IN responses emerged and became more reliable to both conditioned cue and reward stimuli after conditioning. These observations suggest that cue- and reward-related signals are represented among different neuronal cell types in M1, and the distinct modifications they undergo during associative learning could be essential in triggering different aspects of local circuit reorganization in M1 during reward-based motor skill learning.

neuroscience↗

SvAnna: efficient and accurate pathogenicity prediction for coding and regulatory structural variants in long-read genome sequencing

Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to limitations of existing technology. Recent technological advances such as long-read sequencing (LRS) enable more comprehensive detection of SVs, but approaches for clinical prioritization of candidate SVs are needed. Existing computational approaches do not specifically target LRS data, thereby missing a substantial proportion of candidate SVs, and do not provide a unified computational model for assessing all types of SVs. Structural Variant Annotation and Analysis (SvAnna) assesses all classes of SV and their intersection with transcripts and regulatory sequences in the context of topologically associating domains, relating predicted effects on gene function with clinical phenotype data. We show with a collection of 182 published case reports with pathogenic SVs that SvAnna places over 90% of pathogenic SVs in the top ten ranks. The interpretable prioritizations provided by SvAnna will facilitate the widespread adoption of LRS in diagnostic genomics.

bioinformatics↗

Prolactin and prolactin receptor expression in the HPG axis and crop sac during parental care in both sexes of a biparental bird (Columba livia)

During breeding, multiple circulating hormones, including prolactin, facilitate reproductive transitions in species that exhibit parental care. Prolactin underlies parental behaviors and related physiological changes across many vertebrates, including birds and mammals. While circulating prolactin levels often fluctuate across breeding, less is known about how relevant target tissues vary in their prolactin responsiveness via prolactin receptor (PRLR) expression. Recent studies have also investigated prolactin (PRL) gene expression outside of the pituitary (i.e., extra-pituitary PRL), but how PRL gene expression varies during parental care in non-pituitary tissue (e.g., hypothalamus, gonads) remains largely unknown. Further, it is unclear if and how tissue-specific PRL and PRLR vary between the sexes during biparental care. To address this, we measured PRL and PRLR gene expression in tissues relevant to parental care, the endocrine reproductive hypothalamic-pituitary-gonadal (HPG) axis and the crop (a tissue with a similar function as the mammalian mammary gland), across various reproductive stages in both sexes of a biparental bird, the rock dove (Columba livia). We also assessed how these genes responded to changes in offspring presence by adding chicks mid-incubation, simulating an early hatch when prolactin levels were still moderately low. We found that pituitary PRL expression showed similar increases as plasma prolactin levels, and detected extra-pituitary PRL in the hypothalamus, gonads and crop. Hypothalamic and gonadal PRLR expression also changed as birds began incubation. Crop PRLR expression correlated with plasma prolactin, peaking when chicks hatched. In response to replacing eggs with a novel chick mid-incubation, hypothalamic and gonadal PRL and PRLR gene expression differed significantly compared to mid-incubation controls, even when plasma prolactin levels did not differ. We also found sex differences in PRL and PRLR that suggest gene expression may allow males to compensate for lower levels in prolactin by upregulating PRLR in all tissues. Overall, this study advances our understanding of how tissue-specific changes in responsiveness to parental hormones may differ across key reproductive transitions, in response to offspring cues, and between the sexes.

animal behavior and cognition↗

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

The development of scanners with ultra-high gradients, spearheaded by the Human Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion resolution that is feasible for in vivo diffusion MRI acquisitions. The improved quality of the data can be exploited to achieve higher accuracy in the inference of both microstructural and macrostructural anatomy. However, such high-quality data can only be acquired on a handful of Connectom MRI scanners worldwide, while remaining prohibitive in clinical settings because of the constraints imposed by hardware and scanning time. In this study, we first update the classical protocols for tractography-based, manual annotation of major white-matter pathways, to adapt them to the much greater volume and variability of the streamlines that can be produced from todays state-of-the-art diffusion MRI data. We then use these protocols to annotate 42 major pathways manually in data from a Connectom scanner. Finally, we show that, when we use these manually annotated pathways as training data for global probabilistic tractography with anatomical neighborhood priors, we can perform highly accurate, automated reconstruction of the same pathways in much lower-quality, more widely available diffusion MRI data. The outcomes of this work include both a new, comprehensive atlas of WM pathways from Connectom data, and an updated version of our tractography toolbox, TRActs Constrained by UnderLying Anatomy (TRACULA), which is trained on data from this atlas. Both the atlas and TRACULA are distributed publicly as part of FreeSurfer. We present the first comprehensive comparison of TRACULA to the more conventional, multi-region-of-interest approach to automated tractography, and the first demonstration of training TRACULA on high-quality, Connectom data to benefit studies that use more modest acquisition protocols.

neuroscience↗

Conserved Transcription Factors Control Chromatin Accessibility and Gene Expression to Maintain Cell Fate Stability and Restrict Reprogramming of Differentiated Cells

The comprehensive characterization of mechanisms safeguarding cell fate identity in differentiated cells is crucial for 1) our understanding of how differentiation is maintained in healthy tissues or misregulated in disease states and 2) to improve our ability to use direct reprogramming for regenerative purposes. To uncover novel fate-stabilizing regulators, we employed a genome-wide TF siRNA screen followed by a high-complexity combinatorial evaluation of top performing hits, in a cardiac reprogramming assay in mouse embryonic fibroblasts, and subsequently validated our findings in cardiac, neuronal and iPSCs reprogramming assays in primary human fibroblasts and adult endothelial cells. This approach identified a conserved set of 4 TFs (ATF7IP, JUNB, SP7, and ZNF207 [AJSZ]) that robustly opposes cell fate reprogramming, as demonstrated by up to 6-fold increases in efficiency upon AJSZ knockdown in both lineage- and cell type-independent manners. Mechanistically, ChIP-seq and single-cell ATAC-seq analyses, revealed that AJSZ bind to both open and closed chromatin in a genome-wide and regionalized fashion, thereby limiting reprogramming TFs access to target DNA and ability to remodel the chromatin. In parallel, integration of ChIP-seq and RNA-seq data followed by systematic functional gene testing, identified that AJSZ also promote cell fate stability by proximally down-regulating a conserved set of genes involved in the regulation of cell fate specification (MEF2C), proteome remodeling (TPP1, PPIC), ATP homeostasis (EFHD1), and inflammation signaling (IL7R), thereby limiting cells ability to undergo large-scale phenotypic changes. Finally, simultaneous knock-down of AJSZ in combination with cardiac reprogramming TFs overexpression improved heart function by 250% as compared to no treatment and 50% as compared to MGT, 1 month after myocardial infarction. In sum, this study uncovers a novel evolutionarily conserved mechanism mediating cell fate stability in differentiated cells and also identifies AJSZ as promising therapeutic targets for regenerative purposes in adult organs. Significance StatementDifferentiated cells can be converted from one cell type into another by overexpressing lineage-determining transcription factors. Direct lineage reprogramming represents a promising strategy for regenerative medicine, but current clinical applications remain limited by the low yield of the reprogramming process. Here, we present the identification and detailed mechanistic study of a novel mechanisms opposing reprogramming process and promoting cell fate stability. Using a highthroughput screening technique, we identified four transcription factors that act as blockades to cell type change. By tracking chromatin and gene expression changes, we reconstructed a conserved pathway mediating cell fate stability in differentiated cells.

cell biology↗

Cell adhesions link subcellular actomyosin dynamics to tissue scale force production during vertebrate convergent extension.

Axis extension is a fundamental biological process that shapes multicellular organisms. The design of an animals body plan is encoded in the genome and execution of this program is a multiscale mechanical progression involving the coordinated movement of proteins, cells, and whole tissues. Thus, a key challenge to understanding axis extension is connecting events that occur across these various length scales. Here, we use approaches from proteomics, cell biology, and tissue biomechanics to describe how a poorly characterized cell adhesion effector, the Armadillo Repeat protein deleted in Velo-Cardio-Facial syndrome (Arvcf) catenin, controls vertebrate head-to-tail axis extension. We find that Arvcf catenin is required for axis extension within the intact organism but is not required for extension of isolated tissues. We then show that the organism scale phenotype is caused by a modest defect in force production at the tissue scale that becomes apparent when the tissue is challenged by external resistance. Finally, we show that the tissue scale force defect results from dampening of the pulsatile recruitment of cell adhesion and cytoskeletal proteins to cell membranes. These results not only provide a comprehensive understanding of Arvcf function during an essential biological process, but also provide insight into how a modest cellular scale defect in cell adhesion results in an organism scale failure of development.

developmental biology↗

Encapsulated allografts preclude host sensitization and promote ovarian endocrine function in ovariectomized young rhesus monkeys and sensitized mice

Transplantation of allogeneic donor ovarian tissue holds great potential for female cancer survivors who often experience premature ovarian insufficiency. To avoid complications associated with immune suppression and to protect transplanted ovarian allografts from immune-mediated injury, we have developed an immuno-isolating hydrogel-based capsule that supports the function of ovarian allografts without triggering an immune response. Encapsulated ovarian allografts implanted in naive ovariectomized BALB/c mice responded to the circulating gonadotropins without direct revascularization and maintained function for 4 months, as evident by regular estrous cycles and presence of antral follicles in the retrieved grafts. Repeated implantations of encapsulated mouse ovarian allografts did not sensitize naive BALB/c mice in contrast to non-encapsulated controls, which was confirmed with undetectable levels of allo-antibody. Further, encapsulated allografts implanted in hosts previously sensitized by implantation of non-encapsulated allografts restored estrous cycles similarly to our results in naive recipients. Next, we tested the translational potential and efficiency of the immune-isolating capsule in a rhesus monkey model by implanting encapsulated ovarian auto- and allografts in young ovariectomized animals. The encapsulated ovarian grafts survived and restored basal levels of urinary estrone conjugate and pregnanediol 3-glucuronide during the approximate 4-5 month observation period. We demonstrate, for the first time, that encapsulation of ovarian allografts prevents sensitization and protects the allograft from rejection in young rhesus monkeys and in sensitized mice.

bioengineering↗

Spatiotemporal patterns of neuronal subtype genesis suggest hierarchical development of retinal diversity

How do neuronal subtypes emerge during development? Recent molecular studies have expanded our knowledge of existing neuronal diversity. However, the genesis of neuronal subtypes remains elusive and previous studies have been limited by a lack of quantitative methods for simultaneous detection of subtype diversity in situ. The bipolar interneurons of the mammalian retina represent a diverse neuronal class, characterized by distinct functions, morphologies, and recently discovered transcriptional profiles. Here, we developed a comprehensive spatiotemporal map of bipolar subtype genesis in the retina. Combining multiplexed detection of 16 RNA markers with timed delivery of EdU and BrdU, we analyzed more than 30,000 single cells in full retinal sections to classify all bipolar subtypes and their birthdates. We found that bipolar subtype birthdates are ordered and follow a centrifugal developmental axis. Spatial analysis revealed a striking oscillatory wave pattern of bipolar subtype birthdates, and lineage analyses suggest clonal restriction on homotypic subtype production. These results inspired a hierarchical model of neuronal subtype genesis in the mammalian retina, with the wave pattern of subtype birthdates arising from early asymmetric cell divisions among founding retinal progenitor cells. Our results provide an outline of the developmental logic that generates diverse neuronal subtypes, and establishes a framework for studying subtype diversification.

developmental biology↗

Sequence-based correction of barcode bias in massively parallel reporter assays

Massively parallel reporter assays (MPRA) are a high-throughput method for evaluating in vitro activities of thousands of candidate cis-regulatory elements (CREs). In these assays, candidate sequences are cloned upstream or downstream of a reporter gene tagged by unique DNA sequences. However, tag sequences may themselves affect reporter gene expression and lead to major potential biases in the measured cis-regulatory activity. Here, we present a sequence-based method for correcting tag sequence-specific effects and demonstrate that our method can significantly reduce this source of variation, and improve the identification of functional regulatory variants by MPRAs. We also show that our model captures sequence features associated with post-transcriptional regulation of mRNA. Thus, this new method helps to not only improve detection of regulatory signals in MPRA experiments but also to design better MPRA protocols.

bioinformatics↗

MSH2-MSH3 promotes DNA end resection during HR and blocks TMEJ through interaction with SMARCAD1 and EXO1

DNA double strand break (DSB) repair by Homologous recombination (HR) is initiated by the end resection, a process during which 3 ssDNA overhangs are generated by the nucleolytic degradation. The extent of DNA end resection determines the choice of the DSB repair pathway. The role of several proteins including nucleases for end resection has been studied in detail. However, it is still unclear how the initial, nicked DNA generated by MRE11-RAD50-NBS1 is recognized and how subsequent proteins including EXO1 are recruited to DSB sites to facilitate extensive end resection. We found that the MutS{beta} (MSH2-MSH3) mismatch repair (MMR) complex is recruited to DSB sites by recognizing the initial nicked DNA at DSB sites through the interaction with the chromatin remodeling protein SMARCAD1. MSH2-MSH3 at DSB sites helps to recruit EXO1 for long-range resection and enhances its enzymatic activity. MSH2-MSH3 furthermore inhibits the access of DNA polymerase {theta} (POLQ), which promotes polymerase theta-mediated end-joining (TMEJ) of DSB. Collectively, our data show a direct role for MSH2-MSH3 in the initial stages of DSB repair by promoting end resection and influencing DSB repair pathway by favoring HR over TMEJ. Our findings extend the importance of MMR in DSB repair beyond established role in rejecting the invasion of sequences not perfectly homologous to template DNA during late-stage HR.

molecular biology↗

Novel pre-clinical model for CDKL5 Deficiency Disorder

Cyclin-dependent kinase-like-5 (CDKL5) Deficiency Disorder (CDD) is a severe X-linked neurodegenerative disease characterized by early-onset epileptic seizures, low muscle tone, progressive intellectual disability, severe motor function and visual impairment. CDD affects approximately 1 in 60,000 live births with many patients dying by early adulthood. For many patients, quality of life is significantly reduced due to the severity of their neurological symptoms and functional impairment. There are no effective therapies for CDD with current treatments focusing on improving symptoms rather than addressing the underlying causes of the disorder. Zebrafish offer a number of unique advantages for high-throughput pre-clinical evaluation of potential therapies for human neurological diseases including CDD. In particular, the large number of zebrafish that can be produced, together with the possibilities for in vivo imaging and genetic manipulation, allows for the detailed assessment of disease pathogenesis and therapeutic discovery. We have characterised a loss of function zebrafish model for CDD, containing a nonsense mutation in cdkl5. cdkl5 mutant zebrafish display defects in neuronal patterning, microcephaly, and reduced muscle function caused by impaired muscle innervation. This study provides a powerful vertebrate model to investigate CDD disease pathophysiology and allow high-throughput screening for effective therapies.

neuroscience↗

False gene and chromosome losses affected by assembly and sequence errors

Many genome assemblies have been found to be incomplete and contain misassemblies. The Vertebrate Genomes Project (VGP) has been producing assemblies with an emphasis on being as complete and error-free as possible, utilizing long reads, long-range scaffolding data, new assembly algorithms, and manual curation. Here we evaluate these new vertebrate genome assemblies relative to the previous references for the same species, including a mammal (platypus), two birds (zebra finch, Annas hummingbird), and a fish (climbing perch). We found that 3 to 11% of genomic sequence was entirely missing in the previous reference assemblies, which included nearly entire GC-rich and repeat-rich microchromosomes with high gene density. Genome-wide, between 25 to 60% of the genes were either completely or partially missing in the previous assemblies, and this was in part due to a bias in GC-rich 5-proximal promoters and 5 exon regions. Our findings reveal novel regulatory landscapes and protein coding sequences that have been greatly underestimated in previous assemblies and are now present in the VGP assemblies.

genomics↗

Widespread false gene gains caused by duplication errors in genome assemblies

False duplications in genome assemblies lead to false biological conclusions. We quantified false duplications in previous genome assemblies and their new counterparts of the same species (platypus, zebra finch, Annas hummingbird) generated by the Vertebrate Genomes Project (VGP). Whole genome alignments revealed that 4 to 16% of the sequences were falsely duplicated in the previous assemblies, impacting hundreds to thousands of genes. These led to overestimated gene family expansions. The main source of the false duplications was heterotype duplications, where the haplotype sequences were more divergent than other parts of the genome leading the assembly algorithms to classify them as separate genes or genomic regions. A minor source was sequencing errors. Although present in a smaller proportion, we observed false duplications remaining in the VGP assemblies that can be identified and purged. This study highlights the need for more advanced assembly methods that better separates haplotypes and sequence errors, and the need for cautious analyses on gene gains.

genomics↗

Epithelial Regeneration Ability of Crohn's Disease Assessed Using Patient-Derived Intestinal Organoids

BackgroundThe intrinsic limitation of cell lines and animal models limits our understanding of epithelial regeneration capability in Crohns disease (CD). Therefore, we aimed to study epithelial regeneration ability in CD using an intestinal organoid model. Further, since tumor necrosis factor alpha (TNF) is a major proinflammatory effector during CD pathogenesis, we also investigated TNF-induced alteration of regeneration ability in CD patient-derived intestinal organoids. MethodsHuman intestinal organoids were constructed in a three-dimensional intestinal crypt culture of enteroscopic biopsy samples from control subjects and patients with CD. The epithelial regeneration ability of intestinal organoids was assessed using organoid reconstitution, 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide (MTT), 5-ethynyl-2'-deoxyuridine (EdU), and wound healing assays. ResultsEx vivo cultures of ileal crypt cells revealed that organoid formation rate of CD patients were reduced compared with that of control subjects (p <.001). CD patient-derived organoids sub-cultured for more than 6 passages showed stable organoid reconstitution and identical morphological features. The organoid constitution and MTT assay revealed that the viability of TNF-treated CD patient-derived organoids were significantly lower than that of TNF-treated control organoids (p <.05 for each). The number of EdU+ proliferative cells was significantly lower in TNF-treated CD patient-derived organoids than in TNF-treated control organoids (p <.05). The wound-healing ability of TNF-treated CD patient-derived organoids was significantly lower than that of TNF-treated control organoids (p <.001). ConclusionsThe clinical trials are disabled to settle this issue, our results indicated that the epithelial regenerative ability is impaired in patients with CD, especially in TNF-enriched condition.

cell biology↗

Mako: a graph-based pattern growth approach to detect complex structural variants

Complex structural variants (CSVs) are genomic alterations that have more than two breakpoints and are considered as simultaneous occurrence of simple structural variants. However, detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy. As a result, there has been limited progress for CSV discovery compared with simple structural variants. We systematically analyzed the multi-breakpoint connection feature of CSVs, and proposed Mako, utilizing a bottom-up guided model-free strategy, to detect CSVs from paired-end short-read sequencing. Specifically, we implemented a graph-based pattern growth approach, where the graph depicts potential breakpoint connections and pattern growth enables CSV detection without predefined models. Comprehensive evaluations on both simulated and real datasets revealed that Mako outperformed other algorithms. Notably, validation rates of CSV on real data based on experimental and computational validations as well as manual inspections are around 70%, where the medians of experimental and computational breakpoint shift are 13bp and 26bp, respectively. Moreover, Mako CSV subgraph effectively characterized the breakpoint connections of a CSV event and uncovered a total of 15 CSV types, including two novel types of adjacent segments swap and tandem dispersed duplication. Further analysis of these CSVs also revealed impact of sequence homology in the formation of CSVs. Mako is publicly available at https://github.com/jiadong324/Mako.

bioinformatics↗

High resolution profiling of MHC-II peptide presentation capacity, by Mammalian Epitope Display, reveals SARS-CoV-2 targets for CD4 T cells and mechanisms of immune-escape

Understanding the mechanisms of immune evasion is critical for formulating an effective response to global threats like SARS-CoV2. We have fully decoded the immune synapses for multiple TCRs from acute patients, including cognate peptides and the presenting HLA alleles. Furthermore, using a newly developed mammalian epitope display platform (MEDi), we determined that several mutations present in multiple viral isolates currently expanding across the globe, resulted in reduced presentation by multiple HLA class II alleles, while some increased presentation, suggesting immune evasion based on shifting MHC-II peptide presentation landscapes. In support, we found that one of the mutations present in B1.1.7 viral strain could cause escape from CD4 T cell recognition in this way. Given the importance of understanding such mechanisms more broadly, we used MEDi to generate a comprehensive analysis of the presentability of all SARS-CoV-2 peptides in the context of multiple common HLA class II molecules. Unlike other strategies, our approach is sensitive and scalable, providing an unbiased and affordable high-resolution map of peptide presentation capacity for any MHC-II allele. Such information is essential to provide insight into T cell immunity across distinct HLA haplotypes across geographic and ethnic populations. This knowledge is critical for the development of effective T cell therapeutics not just against COVID-19, but any disease.

immunology↗

Permeant Fluorescent Probes Visualize the Activation of SARM1 and Uncover an Anti-neurodegenerative Drug Candidate

SARM1 regulates axonal degeneration through its NAD-metabolizing activity and is a drug target for neurodegenerative disorders. We designed and synthesized fluorescent conjugates of styryl derivative with pyridine to serve as substrates of SARM1, which exhibited large red-shifts after conversion. With the conjugates, SARM1 activation was visualized in live cells following elevation of endogenous NMN or treatment with a cell-permeant NMN-analog. In neurons, imaging documented SARM1 activation preceded vincristine-induced axonal degeneration by hours. Library screening identified a derivative of nisoldipine as a covalent inhibitor of SARM1 that reacted with Cys311 in its Armadillo-domain and blocked its NMN-activation, protecting axons from degeneration. CryoEM showed that SARM1 was locked into an inactive conformation by the inhibitor, uncovering an unsuspected neuroprotective mechanism of dihydropyridines.

biochemistry↗

Simons Collaborative Marine Atlas Project (Simons CMAP): an open-source portal to share, visualize and analyze ocean data

Simons Collaborative Marine Atlas Project (Simons CMAP) is an open-source data portal that interconnects large, complex, and diverse public data sets currently dispersed in different formats across different Oceanography discipline-specific databases. Simons CMAP is designed to streamline the retrieval of custom subsets of data, the generation of data visualizations, and the analyses of diverse data, thus expanding the power of these potentially underutilized data sets for cross-disciplinary studies of ocean processes. We describe a unified architecture that allows numerical model outputs, satellite products, and field observations to be readily shared, mined, and integrated regardless of data set size or resolution. A current focus of Simons CMAP is integration of physical, chemical, and biological data sets essential for characterizing the biogeography of key marine microbes across ocean basins and seasonal cycles. Using a practical example, we demonstrate how our unifying data harmonization plans significantly simplifies and allows for systematic data integration across all Simons CMAP data sets.

ecology↗