Biology subjects

Esk, C.

Publications and source records attributed to Esk, C..

8 recordsLinked to original sources

bioRxiv2026

An improved CRISPR-LICHT screen of 120 Tdark genes illuminates new biologically relevant SOX2 targets in human brain organoids

SOX2 is a transcription factor and central regulator of neural progenitor identity, yet the downstream molecular networks through which it supports human brain development remain incompletely characterized. Here, we applied CRISPR-lineage tracing at cellular resolution in heterogeneous tissue (CRISPR-LICHT) to human cerebral organoids to functionally interrogate SOX2-dependent regulatory networks. Using a SOX2-focused library targeting SOX2 together with conserved neurodevelopmental regulators expressed in neural progenitor cells, we showed that CRISPR-LICHT detects reproducible lineage- depletion phenotypes across genes already known to be involved in progenitor maintenance, fate specification, glial differentiation and neuronal maturation. This extends the application of CRISPR-LICHT beyond the severe neural progenitor phenotypes previously characterized for microcephaly-associated genes and demonstrates its ability to detect perturbation effects across a broader set of neurodevelopmental regulators, involving SOX2 targets previously defined in mouse and now open to further understanding in a human model setting. We further screened 120 evolutionarily conserved, poorly characterized SOX2-dependent genes classified as Tdark within the Illuminating the Druggable Genome framework and identified 28 candidate hits whose disruption impaired neural progenitor lineage expansion and/or survival. These candidates included proteins associated with cytoskeletal organization, membrane dynamics and intracellular architecture, suggesting that SOX2-dependent developmental programmes may engage cellular processes beyond transcriptional regulation. Individual downregulation of CDC42EP4, a poorly characterized CDC42 effector linked to cytoskeletal organization, revealed altered distribution of targeted progenitors between ventricular- and subventricular- like compartments, with changes consistent with altered progenitor-state progression. Together, these findings expand the functional landscape of SOX2-dependent regulation in human neural progenitors and identify cellular architecture as a potential component of SOX2-associated developmental programs.

developmental biology↗

bioRxiv2024

Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols

Human brain organoids are powerful in vitro models for brain development and disease. However, their variability can complicate use in biomedical research and drug discovery. Both the specific protocol as well as the pluripotent starting cell line influence organoid variability and can result in incomplete representation of brain cell types in an organoid experiment. Here, we systematically analyze the cellular and transcriptional landscape of brain organoids grown from multiple cell lines using four different protocols recapitulating dorsal and ventral forebrain, midbrain, and striatum. We establish the NEST-Score as a quantitative readout for cell line-driven and protocol-driven differentiation propensities by comparing cellular states across multiple cell lines and to in vivo reference data sets. Thereby, we establish a set of organoid protocols that together recreate the vast majority of cell types in the developing human brain and provide a reference for how well cell types are recapitulated across cell lines in each protocol. Additionally, we survey factors contributing to variability during organoid development and identify early gene expression signatures predicting protocol-driven organoid generation at later stages. We provide easy online access to our data through a web-based analysis tool, creating a reference for brain organoid research that allows rapid, straightforward validation of protocol and cell line performance.

developmental biology↗

bioRxiv2024

GTestimate: Improving relative gene expression estimation in scRNA-seq using the Good-Turing estimator

BackgroundSingle-cell RNA-seq suffers from unwanted technical variation between cells, caused by its complex experiments and shallow sequencing depths. Many conventional normalization methods try to remove this variation by calculating the relative gene expression per cell. However, their choice of the Maximum Likelihood estimator is not ideal for this application. ResultsWe present GTestimate, a new normalization method based on the Good-Turing estimator, which improves upon conventional normalization methods by accounting for unobserved genes. To validate GTestimate we developed a novel cell targeted PCR-amplification approach (cta-seq), which enables ultra-deep sequencing of single cells. Based on this data we show that the Good-Turing estimator improves relative gene expression estimation and cell-cell distance estimation. Finally, we use GTestimates compatibility with Seurat workflows to explore three common example data-sets and show how it can improve downstream results. ConclusionBy choosing a more suitable estimator for the relative gene expression per cell, we were able to improve scRNA-seq normalization, with potentially large implications for downstream results. GTestimate is available as an easy-to-use R-package and compatible with a variety of workflows, which should enable widespread adoption.

bioinformatics↗

bioRxiv2022

Single-cell brain organoid screening identifies developmental defects in autism

Development of the human brain involves processes that are not seen in many other species, but can contribute to neurodevelopmental disorders (1-4). Cerebral organoids can be used to investigate neurodevelopmental disorders in a human context but are limited by variability and low throughput. We have developed the CRISPR-human organoids-scRNA-seq (CHOOSE) system that utilizes verified pairs of gRNAs, inducible CRISPR/Cas9-based genetic disruption, and single-cell transcriptomics for pooled loss-of-function screening in mosaic organoids. Genetic perturbations of 36 high-risk autism spectrum disorder (ASD) genes related to transcriptional regulation allowed us to identify their effects on cell fate determination and discover developmental stages susceptible to ASD gene perturbations. We construct a developmental gene regulatory network (GRN) of cerebral organoids from single-cell multiomic data including transcriptome and chromatin modalities and identify ASD-associated and perturbation-enriched regulatory modules. We show that perturbing members of the BAF chromatin remodeling complex leads to an expanded population of ventral telencephalon progenitors. Specifically, the BAF subunit ARID1B controls the fate transitions of progenitors to oligodendrocyte precursor cells and interneurons, which we confirmed in patient-specific induced pluripotent stem cell (iPSC) derived organoids. Our study paves the way for phenotypically characterizing disease susceptibility genes in human organoid models with cell type, developmental trajectory, and gene regulatory network readouts.

developmental biology↗

bioRxiv2022

Cellular stress in brain organoids is limited to a distinct and bioinformatically removable subpopulation.

Organoids enable disease modeling in complex and structured human tissue, in vitro. Like most 3D models, they lack sufficient oxygen supply, leading to cellular stress. These negative effects are particularly prominent in complex models, like brain organoids, where they can prevent proper lineage commitment. Here, we analyze brain organoid and fetal single cell RNA sequencing (scRNAseq) data from published and new datasets totaling over 190,000 cells. We describe a unique stress signature found in all organoid samples, but not in fetal samples. We demonstrate that cell stress is limited to a defined organoid cell population, and present Gruffi, an algorithm that uses granular functional filtering to identify and remove stressed cells from any organoid scRNAseq dataset in an unbiased manner. Our data show that adverse effects of cell stress can be corrected by bioinformatic analysis, improving developmental trajectories and resemblance to fetal data.

neuroscience↗

bioRxiv2021

The HUSH complex controls brain architecture and protocadherin fidelity

AbstractFine-tuning of neural connectivity is important for cerebral functions and brain evolution. Protocadherins provide barcodes for neuronal identity as well as synapse formation and expansion of protocadherin cluster genes has been linked to advanced cognitive functions. The tightly controlled stochastic and combinatorial expression of the different protocadherin isoforms in individual neurons provides the molecular basis for neuronal diversity, neuronal network complexity and function of the vertebrate brain. How protocadherins are epigenetically controlled has not yet been fully elucidated. Here we show that the HUSH (human silencing hub) complex containing H3K9me3 binding protein M-phase phosphoprotein 8 (MPP8) and Microrchidia CW-type zinc finger protein 2 (MORC2), critically controls the fidelity of protocadherin expression. MPP8 and MORC2A are highly expressed in the murine brain and exclusively found in neurons. Genetic inactivation of Mphosph8 (coding for MPP8) or Morc2a in the nervous system of mice leads to increased brain size, altered brain architecture, and behavioral changes. Mechanistically, MPP8 and MORC2A precisely and selectively suppress the repetitive-like protocadherin gene cluster on mouse chromosome 18 in a H3K9me3-dependent manner, thereby affecting synapse formation. Moreover, we demonstrate that individual MPHOSPH8- or MORC2-deficient neurons in human cerebral organoids express increased numbers of clustered protocadherin isoforms. Our data identify the HUSH complex, previously linked to silencing of repetitive transposable elements, as a key epigenetic regulator of protocadherin expression in the nervous system and thereby brain development and neuronal individuality in mice and humans.

neuroscience↗

bioRxiv2021

Neutral competition within a long-lived population of symmetrically dividing cells shapes the clonal composition of cerebral organoids

Cerebral organoids model the development of the human brain and are an indispensable tool for studying neurodevelopment. Whole-organoid lineage tracing has revealed the number of progeny arising from each initial stem cell to be highly diverse, with lineage sizes ranging from one to more than 20,000 cells. This exceeds what can be explained by existing stochastic models of corticogenesis, indicating the existence of an additional source of stochasticity. We propose an explanation in terms of the SAN model in which this additional source of stochasticity is the survival time of a lineage within a long-lived population of symmetrically dividing cells under neutral competition. We demonstrate that this model explains the experimentally observed variability of lineage sizes and we derive a formula that captures the quantitative relationship between survival time and lineage size. Finally, we show that our model implies the existence of a regulatory mechanism to keeps the size of the symmetrically dividing cell population constant.

developmental biology↗

bioRxiv2018

CHC22 Clathrin Diverts GLUT4 from the ER-to-Golgi Intermediate Compartment for Intracellular Sequestration

Glucose Transporter 4 (GLUT4) is sequestered inside muscle and fat, then released by vesicle traffic to the cell surface in response to post-prandial insulin for blood glucose clearance. Here we map the biogenesis of this GLUT4 traffic pathway in humans, which involves clathrin isoform CHC22. We observe that GLUT4 transits through the early secretory pathway more slowly than the constitutively-secreted GLUT1 transporter and localize CHC22 to the endoplasmic-reticulum-to-Golgi-intermediate compartment (ERGIC). CHC22 functions in transport from the ERGIC, as demonstrated by an essential role in forming the replication vacuole of Legionella pneumophila bacteria, which requires ERGIC-derived membrane. CHC22 complexes with ERGIC tether p115, GLUT4 and sortilin and down-regulation of either p115 or CHC22, but not GM130 or sortilin abrogate insulin-responsive GLUT4 release. This indicates CHC22 traffic initiates human GLUT4 sequestration from the ERGIC, and defines a role for CHC22 in addition to retrograde sorting of GLUT4 after endocytic recapture, enhancing pathways for GLUT4 sequestration in humans relative to mice, which lack CHC22.\n\nSummaryBlood glucose clearance relies on insulin-mediated exocytosis of glucose transporter 4 (GLUT4) from sites of intracellular sequestration. We show that in humans, CHC22 clathrin mediates membrane traffic from the ER-to-Golgi Intermediate Compartment, which is needed for GLUT4 sequestration during GLUT4 pathway biogenesis.

cell biology↗