Biology subjects

Clark, B. S.

Publications and source records attributed to Clark, B. S..

11 recordsLinked to original sources

bioRxiv2025

Dicer is essential for proper maturation, composition, and function in the postnatal retina.

microRNAs (miRNAs) play a pivotal role during the early phases of retinal development, but their impact on late-phase retinogenesis is unknown. We depleted miRNAs in late retinal progenitor/precursor cells (RPCs/PCs) via a conditional Dicer knock-out. Optical coherence tomography (OCT), electroretinography (ERG), histological, and transcriptional analyses were conducted in young and adult mice. Alterations in gene expression of late-born cells were observed as early as postnatal day 7 (P7), resulting in impaired rod function, a significantly reduced number of rod bipolar cells and their associated function, and a decreased Muller glia population at adult age. These defects appear to be caused by a delay in differentiation/ incomplete maturation, as indicated by an enlarged progenitor/precursor population at young ages that persists into adulthood. Notably, an increased population of HuC/D+ amacrine cells was found. Luciferase assays led us to speculate that this increase may be due to the absence of Elavl3 suppression via RPC-miRNAs. This suggests that Dicer/miRNAs in late RPC/PCs are essential for the proper formation and maturation of late RPC progenies and may also play a role in regulating cell state. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/635135v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@9e0950org.highwire.dtl.DTLVardef@1757e2corg.highwire.dtl.DTLVardef@aeb5ecorg.highwire.dtl.DTLVardef@29accb_HPS_FORMAT_FIGEXP M_FIG C_FIG Summary statementLate-retinal progenitor microRNAs are essential for proper postnatal retinogenesis and retinal function.

developmental biology↗

bioRxiv2025

Active DNA demethylation is upstream of rod-photoreceptor fate determination and required for retinal development

Retinal cell fate specification from multipotent retinal progenitors is governed by dynamic changes in chromatin structure and gene expression. Methylation at cytosines in DNA (5mC) is actively regulated for proper control of gene expression and chromatin architecture. Numerous genes display active DNA demethylation across retinal development; a process that requires oxidation of 5mC to 5-hydroxymethylcytosine (5hmC) and is controlled by the ten-eleven translocation methylcytosine dioxygenase (TET) enzymes. Using an allelic series of conditional TET enzyme mutants, we determine that DNA demethylation is required upstream of NRL and NR2E3 expression for the establishment of rod-photoreceptor fate. Using histological, behavioral, transcriptomic, and base-pair resolution DNA methylation analyses, we establish that inhibition of active DNA demethylation results in global changes in gene expression and methylation patterns that prevent photoreceptor precursors from adopting a rod-photoreceptor fate, instead producing a retina in which all photoreceptors specify as cones. Our results establish the TET enzymes and DNA demethylation as critical regulators of retinal development and cell fate specification, elucidating a novel mechanism required for the specification of rod-photoreceptors.

developmental biology↗

bioRxiv2024

Age-related dysregulation of the retinal transcriptome in African turquoise killifish

Age-related vision loss caused by retinal neurodegenerative pathologies is becoming more prevalent in our ageing society. To understand the physiological and molecular impact of ageing on retinal homeostasis, we used the short-lived African turquoise killifish, a model known to naturally develop central nervous system (CNS) ageing hallmarks and vision loss. Bulk and single-cell RNA-sequencing (scRNA-seq) of three age groups (6-, 12-, and 18-week-old) identified transcriptional ageing fingerprints in the killifish retina, unveiling pathways also identified in the aged brain, including oxidative stress, gliosis, and inflammageing. These findings were comparable to observations in ageing mouse retina. Additionally, transcriptional changes in genes related to retinal diseases, such as glaucoma and age-related macular degeneration, were observed. The cellular heterogeneity in the killifish retina was characterised, confirming the presence of all typical vertebrate retinal cell types. Data integration from age-matched samples between the bulk and scRNA-seq experiments revealed a loss of cellular specificity in gene expression upon ageing, suggesting potential disruption in transcriptional homeostasis. Differential expression analysis within the identified cell types highlighted the role of glial/immune cells as important stress regulators during ageing. Our work emphasises the value of the fast-ageing killifish in elucidating molecular signatures in age-associated retinal disease and vision decline. This study contributes to the understanding of how age-related changes in molecular pathways may impact CNS health, providing insights that may inform future therapeutic strategies for age-related pathologies. HighlightsO_LIThe aged killifish retina displays several ageing hallmarks, such as oxidative stress, gliosis and inflammageing, at the transcriptome level. C_LIO_LIRisk genes for neurodegenerative disorders show dysregulation in the old killifish retina. C_LIO_LIAll vertebrate retinal cell types are present in the killifish retina. C_LIO_LITranscriptional dysregulation in the aged killifish retina is observed across cell types. C_LI

neuroscience↗

bioRxiv2024

Cellular heterogeneity in the developing forebrain masks transcriptional outcomes and principles of Evf2 enhancer lncRNA-Dlx5/6UCE-gene guidance

During mouse embryonic brain development, the Evf2 ultraconserved enhancer (UCE) lncRNA guides the Dlx5/6UCE to [~]129 sites across chr6. However, previous work identified only 4 transcriptionally regulated targets associated with Evf2-Dlx5/6UCE enhancer-gene guided sites (EGGs), raising questions about the significance of the majority of Evf2-EGGs. Here, single cell transcriptomics (scRNAseq) shows that Evf2-EGGs on chr6 coincide with subpopulation-specific Evf2 transcriptional targets, revealing far greater alignment between EGGs and transcriptional targets than previously reported. Surprisingly, subpopulation-specific Evf2 regulated gene networks in embryonic progenitors predict adult synaptic and seizure defects. Evf2 regulation of EGGs to gene bodies (GB, Dlx5/6UCE locations within {+/-}5kb of the target gene) divides chr6 into short-range (<10Mb distant), highly activated genes, and long/super-long-range (10-129Mb), moderately repressed genes. Clustering of Evf2 transcriptionally regulated chr6 targets in populations where Evf2 is first activated supports that Evf2-EGG transcriptional effects can occur from EGG shifts as far as 3Mb, uncoupling enhancer shift distance and transcriptional direction from transcriptional outcome. Evf2 RNA binding sites (RBSs) divide chr6 into 4 major regions, consistent with a role for RBS chromosomal spacing in long-and super-long-range EGG selectivity. Surprisingly, 95% of 147 RBSs genome-wide potentially form inter-chromosomal DNA loops. Evf2-regulated combinatorial recruitment of Evf2-ribonucleoproteins at EGGs and RBSs, together with effects on homeodomain transcription factor DNA motif recognition, support a novel model of lncRNA directed multi-modal EGG selectivity during intra- and inter-chromosomal gene regulation.

molecular biology↗

bioRxiv2024

A practical guide to time-resolved fluorescence microscopy and spectroscopy

Time-correlated single photon counting (TCSPC) coupled with confocal microscopy is a versatile biophysical tool that enables real-time monitoring of biomolecular dynamics across many timescales. With TCSPC, Fluorescence correlation spectroscopy (FCS) and pulsed interleaved excitation-Forster resonance energy transfer (PIE-FRET) are collected simultaneously on diffusing molecules to extract diffusion characteristics and proximity information. This article is a guide to calibrating FCS and PIE-FRET measurements with several biological samples including liposomes, streptavidin-coated quantum dots, proteins, and nucleic acids for reliable determination of diffusion coefficients and FRET efficiency. The FRET efficiency results are also compared to surface-attached single molecules using fluorescence lifetime imaging microscopy (FLIM-FRET). Combining the methods is a powerful approach to revealing mechanistic details of biological processes and pathways.

biophysics↗

bioRxiv2021

Identifying Gene-wise Differences in Latent Space Projections Across Cell Types and Species in Single Cell Data using scProject

Latent space techniques have emerged as powerful tools to identify genes and gene sets responsible for cell-type and species-specific differences in single-cell data. Transfer learning methods can compare learned latent spaces across biological systems. However, the robustness that comes from leveraging information across multiple genes in transfer learning is often attained at the sacrifice of gene-wise precision. Thus, methods are needed to identify genes, defined as important within a particular latent space, that significantly differ between contexts. To address this challenge, we have developed a new framework, scProject, and a new metric, projectionDrivers, to quantitatively examine latent space usage across single-cell experimental systems while concurrently extracting the genes driving the differential usage of the latent space between defined contrasts. Here, we demonstrate the efficacy, utility, and scalability of scProject with projectionDrivers and provide experimental validation for predicted species-specific differences between the developing mouse and human retina.

bioinformatics↗

bioRxiv2020

Atoh7-independent specification of retinal ganglion cell identity

Retinal ganglion cells (RGCs), which relay visual information from the eye to the brain, are the first cell type generated during retinal neurogenesis. Loss of function of the transcription factor Atoh7, which is expressed in multipotent early neurogenic retinal progenitor cells, leads to a selective and near complete loss of RGCs. Atoh7 has thus been considered essential for conferring competence on progenitors to generate RGCs. However, when apoptosis is inhibited in Atoh7-deficient mice by loss of function of Bax, only a modest reduction in RGC number is observed. Single-cell RNA-Seq of Atoh7;Bax-deficient retinas shows that RGC differentiation is delayed, but that RGC precursors are grossly normal. Atoh7;Bax-deficient RGCs eventually mature, fire action potentials, and incorporate into retinal circuitry, but exhibit severe axonal guidance defects. This study reveals an essential role for Atoh7 in RGC survival, and demonstrates Atoh7-independent mechanisms for RGC specification.

developmental biology↗

bioRxiv2019

Single-cell analysis of human retina identifies evolutionarily conserved and species-specific mechanisms controlling development.

The development of single-cell RNA-Sequencing (scRNA-Seq) has allowed high resolution analysis of cell type diversity and transcriptional networks controlling cell fate specification. To identify the transcriptional networks governing human retinal development, we performed scRNA-Seq over retinal organoid and in vivo retinal development, across 20 timepoints. Using both pseudotemporal and cross-species analyses, we examined the conservation of gene expression across retinal progenitor maturation and specification of all seven major retinal cell types. Furthermore, we examined gene expression differences between developing macula and periphery and between two distinct populations of horizontal cells. We also identify both shared and species-specific patterns of gene expression during human and mouse retinal development. Finally, we identify an unexpected role for ATOH7 expression in regulation of photoreceptor specification during late retinogenesis. These results provide a roadmap to future studies of human retinal development, and may help guide the design of cell-based therapies for treating retinal dystrophies.

neuroscience↗

bioRxiv2018

ASCOT identifies key regulators of neuronal subtype-specific splicing

Public archives of next-generation sequencing data are growing exponentially, but the difficulty of marshaling this data has led to its underutilization by scientists. Here we present ASCOT, a resource that allows researchers to summarize, visualize, and query alternative splicing patterns in public RNA-Seq data. ASCOT enables rapid identification of splice-variants across tens of thousands of bulk and single-cell RNA-Seq datasets in human and mouse. To demonstrate the utility of ASCOT, we first focused on the nervous system and identified many alternative exons used only by a single neuronal subtype. We then leveraged datasets from the ENCODE and GTEx consortiums to study the unique splicing patterns of rod photoreceptors and found that PTBP1 knockdown combined with overexpression of MSI1 and PCBP2 activates rod-specific exons in HepG2 liver cancer cells. Furthermore, we observed that MSI1 targets intronic UAG motifs proximal to the 5 splice site and interacts synergistically with PTBP1 downregulation. Finally, we show that knockdown of MSI1 in the retina abolishes rod-specific splicing. This work demonstrates how large-scale analysis of public RNA-Seq datasets can yield key insights into cell type-specific control of RNA splicing and underscores the importance of considering both annotated and unannotated splicing events. ASCOT splicing and gene expression data tables, software, and interactive browser are available at http://ascot.cs.jhu.edu.

neuroscience↗

bioRxiv2018

Decomposing cell identity for transfer learning across cellular measurements, platforms, tissues, and species.

New approaches are urgently needed to glean biological insights from the vast amounts of single cell RNA sequencing (scRNA-Seq) data now being generated. To this end, we propose that cell identity should map to a reduced set of factors which will describe both exclusive and shared biology of individual cells, and that the dimensions which contain these factors reflect biologically meaningful relationships across different platforms, tissues and species. To find a robust set of dependent factors in large-scale scRNA- Seq data, we developed a Bayesian non-negative matrix factorization (NMF) algorithm, scCoGAPS. Application of scCoGAPS to scRNA-Seq data obtained over the course of mouse retinal development identified gene expression signatures for factors associated with specific cell types and continuous biological processes. To test whether these signatures are shared across diverse cellular contexts, we developed projectR to map biologically disparate datasets into the factors learned by scCoGAPS. Because projecting these dimensions preserve relative distances between samples, biologically meaningful relationships/factors will stratify new data consistent with their underlying processes, allowing labels or information from one dataset to be used for annotation of the other--a machine learning concept called transfer learning. Using projectR, data from multiple datasets was used to annotate latent spaces and reveal novel parallels between developmental programs in other tissues, species and cellular assays. Using this approach we are able to transfer cell type and state designations across datasets to rapidly annotate cellular features in a new dataset without a priori knowledge of their type, identify a species-specific signature of microglial cells, and identify a previously undescribed subpopulation of neurosecretory cells within the lung. Together, these algorithms define biologically meaningful dimensions of cellular identity, state, and trajectories that persist across technologies, molecular features, and species.\n\nGRAPHICAL ABSTRACT\n\nO_FIG O_LINKSMALLFIG WIDTH=174 HEIGHT=200 SRC=\"FIGDIR/small/395004_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (81K):\norg.highwire.dtl.DTLVardef@dd1c07org.highwire.dtl.DTLVardef@5b1109org.highwire.dtl.DTLVardef@bb6714org.highwire.dtl.DTLVardef@16c66f0_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2017

Ldb1 and Rnf12-dependent regulation of Lhx2 controls the relative balance between neurogenesis and gliogenesis in retina.

Precise control of the relative ratio of retinal neurons and glia generated during development is essential for visual function. We show that Lhx2, which encodes a LIM-homeodomain transcription factor essential for specification and differentiation of retinal Muller glia, also plays a critical role in the development of retinal neurons. Overexpression of Lhx2, and its transcriptional coactivator Ldb1, triggers cell cycle exit and inhibits both Notch signaling and retinal gliogenesis. Lhx2/Ldb1 overexpression also induced the formation of wide-field amacrine cells (wfACs). In contrast Rnf12, which encodes a negative regulator of LDB1, is necessary for the initiation of retinal gliogenesis. We also show that LHX2 protein binds upstream of multiple neurogenic bHLH factors including Ascl1 and Neurog2, which are necessary for suppression of gliogenesis and wfAC formation respectively, and activates their expression. Finally, we demonstrate that the relative level of the LHX2-LDB1 complex in the retina decreases in tandem with the onset of gliogenesis. These findings show that control of Lhx2 function by Ldb1 and Rnf12 acts as a molecular mechanism underpinning the coordinated differentiation of neurons and Muller glia in postnatal retina.\n\nSignificance StatementThe molecular mechanisms that control the ratio neurons and glia that are generated by neuronal progenitors remain unclear. Here we show that Lhx2, a transcription factor essential for retinal gliogenesis, also controls development of retinal neurons. The Lhx2 coactivator Ldb1 promotes Lhx2-dependent neurogenesis, while the Lhx2 corepressor Rnf12 is necessary and sufficient for retinal gliogenesis. Furthermore, Lhx2 directly regulates expression of bHLH factors that promote neural development, which are necessary for Lhx2-dependent neurogenesis. Finally, we show that levels of the LHX2-LDB1 complex, which activates transcription, drop as gliogenesis begins. Dynamic regulation of Lhx2 activity by Ldb1 and Rnf12 thus controls the relative levels of retinal neurogenesis and gliogenesis, and may have similar functions elsewhere in the developing nervous system.

neuroscience↗