Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Detection of gene cis-regulatory element perturbations in single-cell transcriptomes.

ABSTRACT: We introduce poly-adenine CRISPR gRNA-based single-cell RNA-sequencing (pAC-Seq), a method that enables the direct observation of guide RNAs (gRNAs) in scRNA-seq. We use pAC-Seq to assess the phenotypic consequences of CRISPR/Cas9 based alterations of gene cis-regulatory regions. We show that pAC-Seq is able to detect cis-regulatory-induced alteration of target gene expression even when biallelic loss of target gene expression occurs in only ~5% of cells. This low rate of biallelic loss significantly increases the number of cells required to detect the consequences of changes to the regulatory genome, but can be ameliorated by transcript-targeted sequencing. Based on our experimental results we model the power to detect regulatory genome induced transcriptomic effects based on the rate of mono/biallelic loss, baseline gene expression, and the number of cells per target gRNA.

SUBMITTER: Yeo GHT

PROVIDER: S-EPMC8011753 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Detection of gene cis-regulatory element perturbations in single-cell transcriptomes.

Yeo Grace Hui Ting GHT Juez Oscar O Chen Qing Q Banerjee Budhaditya B Chu Lendy L Shen Max W MW Sabry May M Logister Ive I Sherwood Richard I RI Gifford David K DK

PLoS computational biology 20210312 3

We introduce poly-adenine CRISPR gRNA-based single-cell RNA-sequencing (pAC-Seq), a method that enables the direct observation of guide RNAs (gRNAs) in scRNA-seq. We use pAC-Seq to assess the phenotypic consequences of CRISPR/Cas9 based alterations of gene cis-regulatory regions. We show that pAC-Seq is able to detect cis-regulatory-induced alteration of target gene expression even when biallelic loss of target gene expression occurs in only ~5% of cells. This low rate of biallelic loss signific ...[more]

PMID: 33711017

Similar Datasets

Detection of gene cis-regulatory element perturbations in single-cell transcriptomes

Project description:We introduce poly-adenine CRISPR gRNA-based single cell RNA-sequencing (pAC-Seq), a method enabling simultaneous observation of mutagenic guide RNAs (gRNAs) and their transcriptional consequences in single cell RNA sequencing (scRNA-seq) data. We have made gRNAs robustly visible in scRNA-seq data while maintaining full activity by modifying them with a hardcoded poly-adenine tract. We apply pAC-Seq to study the transcriptomic effects of non-coding CRISPR/Cas9-induced mutations in a pooled screening format. pAC-Seq is a simple, robust, and broadly applicable method of measuring the global effects of genomic mutation.

2021-02-24 | GSE117053 | GEO

Detection of gene cis-regulatory element perturbations in single-cell transcriptomes

Project description:Detection of gene cis-regulatory element perturbations in single-cell transcriptomes

| PRJNA480912 | ENA

Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells.

Project description:Multimodal single-cell assays provide high-resolution snapshots of complex cell populations, but are mostly limited to transcriptome plus an additional modality. Here, we describe expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq) for the high-throughput characterization of at least five modalities of information from each single cell. We demonstrate application of ECCITE-seq to multimodal CRISPR screens with robust direct single-guide RNA capture and to clonotype-aware multimodal phenotyping of cancer samples.

| S-EPMC6557128 | biostudies-literature

Mechanism governing a stem cell-generating cis-regulatory element.

Project description:The unremitting demand to replenish differentiated cells in tissues requires efficient mechanisms to generate and regulate stem and progenitor cells. Although master regulatory transcription factors, including GATA binding protein-2 (GATA-2), have crucial roles in these mechanisms, how such factors are controlled in developmentally dynamic systems is poorly understood. Previously, we described five dispersed Gata2 locus sequences, termed the -77, -3.9, -2.8, -1.8, and +9.5 GATA switch sites, which contain evolutionarily conserved GATA motifs occupied by GATA-2 and GATA-1 in hematopoietic precursors and erythroid cells, respectively. Despite common attributes of transcriptional enhancers, targeted deletions of the -2.8, -1.8, and +9.5 sites revealed distinct and unpredictable contributions to Gata2 expression and hematopoiesis. Herein, we describe the targeted deletion of the -3.9 site and mechanistically compare the -3.9 site with other GATA switch sites. The -3.9(-/-) mice were viable and exhibited normal Gata2 expression and steady-state hematopoiesis in the embryo and adult. We established a Gata2 repression/reactivation assay, which revealed unique +9.5 site activity to mediate GATA factor-dependent chromatin structural transitions. Loss-of-function analyses provided evidence for a mechanism in which a mediator of long-range transcriptional control [LIM domain binding 1 (LDB1)] and a chromatin remodeler [Brahma related gene 1 (BRG1)] synergize through the +9.5 site, conferring expression of GATA-2, which is known to promote the genesis and survival of hematopoietic stem cells.

| S-EPMC3970491 | biostudies-literature

Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model.

Project description:The gene regulatory structure of cells involves not only the regulatory relationship between two genes, but also the cooperative associations of multiple genes. However, most gene regulatory network inference methods for single cell only focus on and infer the regulatory relationships of pairs of genes, ignoring the global regulatory structure which is crucial to identify the regulations in the complex biological systems. Here, we proposed a graph-based Deep learning model for Regulatory networks Inference among Genes (DeepRIG) from single-cell RNA-seq data. To learn the global regulatory structure, DeepRIG builds a prior regulatory graph by transforming the gene expression of data into the co-expression mode. Then it utilizes a graph autoencoder model to embed the global regulatory information contained in the graph into gene latent embeddings and to reconstruct the gene regulatory network. Extensive benchmarking results demonstrate that DeepRIG can accurately reconstruct the gene regulatory networks and outperform existing methods on multiple simulated networks and real-cell regulatory networks. Additionally, we applied DeepRIG to the samples of human peripheral blood mononuclear cells and triple-negative breast cancer, and presented that DeepRIG can provide accurate cell-type-specific gene regulatory networks inference and identify novel regulators of progression and inhibition.

| S-EPMC10519590 | biostudies-literature

ICAT: a novel algorithm to robustly identify cell states following perturbations in single-cell transcriptomes.

Project description:MotivationThe detection of distinct cellular identities is central to the analysis of single-cell RNA sequencing (scRNA-seq) experiments. However, in perturbation experiments, current methods typically fail to correctly match cell states between conditions or erroneously remove population substructure. Here, we present the novel, unsupervised algorithm Identify Cell states Across Treatments (ICAT) that employs self-supervised feature weighting and control-guided clustering to accurately resolve cell states across heterogeneous conditions.ResultsUsing simulated and real datasets, we show ICAT is superior in identifying and resolving cell states compared with current integration workflows. While requiring no a priori knowledge of extant cell states or discriminatory marker genes, ICAT is robust to low signal strength, high perturbation severity, and disparate cell type proportions. We empirically validate ICAT in a developmental model and find that only ICAT identifies a perturbation-unique cellular response. Taken together, our results demonstrate that ICAT offers a significant improvement in defining cellular responses to perturbation in scRNA-seq data.Availability and implementationhttps://github.com/BradhamLab/icat.

| S-EPMC10172037 | biostudies-literature

Characterization of the octamer, a cis-regulatory element that modulates excretory cell gene-expression in Caenorhabditis elegans.

Project description:BackgroundWe have previously demonstrated that the POU transcription factor CEH-6 is required for driving aqp-8 expression in the C. elegans excretory (canal) cell, an osmotic regulatory organ that is functionally analogous to the kidney. This transcriptional regulation occurs through a CEH-6 binding to a cis-regulatory element called the octamer (ATTTGCAT), which is located in the aqp-8 promoter.ResultsHere, we further characterize octamer driven transcription in C. elegans. First, we analyzed the positional requirements of the octamer. To do so, we assayed the effects on excretory cell expression by placing the octamer within the well-characterized promoter of vit-2. Second, using phylogenetic footprinting between three Caenorhabditis species, we identified a set of 165 genes that contain conserved upstream octamers in their promoters. Third, we used promoter::GFP fusions to examine the expression patterns of 107 of the 165 genes. This analysis demonstrated that conservation of octamers in promoters increases the likelihood that the gene is expressed in the excretory cell. Furthermore, we found that the sequences flanking the octamers may have functional importance. Finally, we altered the octamer using site-directed mutagenesis. Thus, we demonstrated that some nucleotide substitutions within the octamer do not affect the expression pattern of nearby genes, but change their overall expression was changed. Therefore, we have expanded the core octamer to include flanking regions and variants of the motif.ConclusionsTaken together, we have demonstrated that octamer-containing regions are associated with excretory cell expression of several genes that have putative roles in osmoregulation. Moreover, our analysis of the octamer sequence and its sequence variants could aid in the identification of additional genes that are expressed in the excretory cell and that may also be regulated by CEH-6.

| S-EPMC2841177 | biostudies-literature

Function of a Foxp3 cis-element in protecting regulatory T cell identity.

Project description:The homeostasis of multicellular organisms requires terminally differentiated cells to preserve their lineage specificity. However, it is unclear whether mechanisms exist to actively protect cell identity in response to environmental cues that confer functional plasticity. Regulatory T (Treg) cells, specified by the transcription factor Foxp3, are indispensable for immune system homeostasis. Here, we report that conserved noncoding sequence 2 (CNS2), a CpG-rich Foxp3 intronic cis-element specifically demethylated in mature Tregs, helps maintain immune homeostasis and limit autoimmune disease development by protecting Treg identity in response to signals that shape mature Treg functions and drive their initial differentiation. In activated Tregs, CNS2 helps protect Foxp3 expression from destabilizing cytokine conditions by sensing TCR/NFAT activation, which facilitates the interaction between CNS2 and Foxp3 promoter. Thus, epigenetically marked cis-elements can protect cell identity by sensing key environmental cues central to both cell identity formation and functional plasticity without interfering with initial cell differentiation.

| S-EPMC4151505 | biostudies-literature

The developmental hourglass model is applicable to the spinal cord based on single-cell transcriptomes and non-conserved cis-regulatory elements.

Project description:The developmental hourglass model predicts that embryonic morphology is most conserved at the mid-embryonic stage and diverges at the early and late stages. To date, this model has been verified by examining the anatomical features or gene expression profiles at the whole embryonic level. Here, by data mining approach utilizing multiple genomic and transcriptomic datasets from different species in combination, and by experimental validation, we demonstrate that the hourglass model is also applicable to a reduced element, the spinal cord. In the middle of spinal cord development, dorsoventrally arrayed neuronal progenitor domains are established, which are conserved among vertebrates. By comparing the publicly available single-cell transcriptome datasets of mice and zebrafish, we found that ventral subpopulations of post-mitotic spinal neurons display divergent molecular profiles. We also detected the non-conservation of cis-regulatory elements located around the progenitor fate determinants, indicating that the cis-regulatory elements contributing to the progenitor specification are evolvable. These results demonstrate that, despite the conservation of the progenitor domains, the processes before and after the progenitor domain specification diverged. This study will be helpful to understand the molecular basis of the developmental hourglass model.

| S-EPMC9293469 | biostudies-literature

Recapitulating Evolutionary Divergence in a Single Cis-Regulatory Element Is Sufficient to Cause Expression Changes of the Lens Gene Tdrd7.

Project description:Mutations in cis-regulatory elements play important roles for phenotypic changes during evolution. Eye degeneration in the blind mole rat (BMR; Nannospalax galili) and other subterranean mammals is significantly associated with widespread divergence of eye regulatory elements, but the effect of these regulatory mutations on eye development and function has not been explored. Here, we investigate the effect of mutations observed in the BMR sequence of a conserved noncoding element upstream of Tdrd7, a pleiotropic gene required for lens development and spermatogenesis. We first show that this conserved element is a transcriptional repressor in lens cells and that the BMR sequence partially lost repressor activity. Next, we recapitulated evolutionary changes in this element by precisely replacing the endogenous regulatory element in a mouse line by the orthologous BMR sequence with CRISPR-Cas9. Strikingly, this repressor replacement caused a more than 2-fold upregulation of Tdrd7 in the developing lens; however, increased mRNA level does not result in a corresponding increase in TDRD7 protein nor an obvious lens phenotype, possibly explained by buffering at the posttranscriptional level. Our results are consistent with eye degeneration in subterranean mammals having a polygenic basis where many small-effect mutations in different eye-regulatory elements collectively contribute to phenotypic differences.

| S-EPMC7826196 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data