scholarly journals Conserved epigenetic regulatory logic infers genes governing cell identity

2019 ◽  
Author(s):  
Woo Jun Shim ◽  
Enakshi Sinniah ◽  
Jun Xu ◽  
Burcu Vitrinel ◽  
Michael Alexanian ◽  
...  
Keyword(s):  
Cell Differentiation ◽  
Cell Biology ◽  
Peer Review Process ◽  
Cell Types ◽  
Computational Method ◽  
Cell Identity ◽  
Genome Wide ◽  
Fundamental Goal ◽  
A Genome ◽  
Wide Range

SUMMARYDetermining genes orchestrating cell differentiation in development and disease remains a fundamental goal of cell biology. This study establishes a genome-wide metric based on the gene-repressive tri-methylation of histone 3 lysine 27 (H3K27me3) across hundreds of diverse cell types to identify genetic regulators of cell differentiation. We introduce a computational method, TRIAGE, that uses discordance between gene-repressive tendency and expression to identify genetic drivers of cell identity. We apply TRIAGE to millions of genome-wide single-cell transcriptomes, diverse omics platforms, and eukaryotic cells and tissue types. Using a wide range of data, we validate TRIAGE’s performance for identifying cell-type specific regulatory factors across diverse species including human, mouse, boar, bird, fish, and tunicate. Using CRISPR gene editing, we use TRIAGE to experimentally validate RNF220 as a regulator of Ciona cardiopharyngeal development and SIX3 as required for differentiation of endoderm in human pluripotent stem cells. A record of this paper’s Transparent Peer Review process is included in the Supplemental Information.

scholarly journals HCR-FlowFISH: A flexible CRISPR screening method to identify cis-regulatory elements and their target genes

2020 ◽  
Author(s):  
SK Reilly ◽  
SJ Gosai ◽  
A Gutierrez ◽  
JC Ulirsch ◽  
M Kanai ◽  
...  
Keyword(s):  
Gene Expression ◽  
Target Genes ◽  
Screening Method ◽  
Cell Types ◽  
Regulatory Elements ◽  
Hybridization Chain Reaction ◽  
Genome Wide ◽  
Wide Range ◽  
Causal Variants ◽  
Endogenous Loci

AbstractCRISPR screens for cis-regulatory elements (CREs) have shown unprecedented power to endogenously characterize the non-coding genome. To characterize CREs we developed HCR-FlowFISH (Hybridization Chain Reaction Fluorescent In-Situ Hybridization coupled with Flow Cytometry), which directly quantifies native transcripts within their endogenous loci following CRISPR perturbations of regulatory elements, eliminating the need for restrictive phenotypic assays such as growth or transcript-tagging. HCR-FlowFISH accurately quantifies gene expression across a wide range of transcript levels and cell types. We also developed CASA (CRISPR Activity Screen Analysis), a hierarchical Bayesian model to identify and quantify CRE activity. Using >270,000 perturbations, we identified CREs for GATA1, HDAC6, ERP29, LMO2, MEF2C, CD164, NMU, FEN1 and the FADS gene cluster. Our methods detect subtle gene expression changes and identify CREs regulating multiple genes, sometimes at different magnitudes and directions. We demonstrate the power of HCR-FlowFISH to parse genome-wide association signals by nominating causal variants and target genes.

scholarly journals A Genome-Wide RNA Interference Screen Identifies a Differential Role of the Mediator CDK8 Module Subunits for GATA/ RUNX-Activated Transcription in Drosophila

2010 ◽  
Vol 30 (11) ◽  
pp. 2837-2848 ◽  
Author(s):  
Vanessa Gobert ◽  
Dani Osman ◽  
Stéphanie Bras ◽  
Benoit Augé ◽  
Muriel Boube ◽  
...  
Keyword(s):  
Cell Differentiation ◽  
Rna Interference ◽  
Cell Fate ◽  
Gata Factor ◽  
Hematopoietic System ◽  
Crystal Cell ◽  
Genome Wide ◽  
A Genome

ABSTRACT Transcription factors of the RUNX and GATA families play key roles in the control of cell fate choice and differentiation, notably in the hematopoietic system. During Drosophila hematopoiesis, the RUNX factor Lozenge and the GATA factor Serpent cooperate to induce crystal cell differentiation. We used Serpent/Lozenge-activated transcription as a paradigm to identify modulators of GATA/RUNX activity by a genome-wide RNA interference screen in cultured Drosophila blood cells. Among the 129 factors identified, several belong to the Mediator complex. Mediator is organized in three modules plus a regulatory “CDK8 module,” composed of Med12, Med13, CycC, and Cdk8, which has long been thought to behave as a single functional entity. Interestingly, our data demonstrate that Med12 and Med13 but not CycC or Cdk8 are essential for Serpent/Lozenge-induced transactivation in cell culture. Furthermore, our in vivo analysis of crystal cell development show that, while the four CDK8 module subunits control the emergence and the proliferation of this lineage, only Med12 and Med13 regulate its differentiation. We thus propose that Med12/Med13 acts as a coactivator for Serpent/Lozenge during crystal cell differentiation independently of CycC/Cdk8. More generally, we suggest that the set of conserved factors identified herein may regulate GATA/RUNX activity in mammals.

The Genetics and Genomics of Asthma

2018 ◽  
Vol 19 (1) ◽  
pp. 223-246 ◽  
Author(s):  
Saffron A.G. Willis-Owen ◽  
William O.C. Cookson ◽  
Miriam F. Moffatt
Keyword(s):  
Sequence Variation ◽  
Human Microbiome ◽  
Technological Advances ◽  
Genome Wide ◽  
A Genome ◽  
Wide Range ◽  
Health And Disease ◽  
Wide Scale ◽  
Genetics And Genomics ◽  
The Individual

Asthma is a common, clinically heterogeneous disease with strong evidence of heritability. Progress in defining the genetic underpinnings of asthma, however, has been slow and hampered by issues of inconsistency. Recent advances in the tools available for analysis—assaying transcription, sequence variation, and epigenetic marks on a genome-wide scale—have substantially altered this landscape. Applications of such approaches are consistent with heterogeneity at the level of causation and specify patterns of commonality with a wide range of alternative disease traits. Looking beyond the individual as the unit of study, advances in technology have also fostered comprehensive analysis of the human microbiome and its varied roles in health and disease. In this article, we consider the implications of these technological advances for our current understanding of the genetics and genomics of asthma.

scholarly journals From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations

2018 ◽  
Vol 5 (1) ◽  
pp. 170925 ◽  
Author(s):  
Catherine R. M. Attard ◽  
Luciano B. Beheregaray ◽  
Jonathan Sandoval-Castillo ◽  
K. Curt S. Jenner ◽  
Peter C. Gill ◽  
...  
Keyword(s):  
Population Structure ◽  
Adaptive Divergence ◽  
Balaenoptera Musculus ◽  
Blue Whale ◽  
Conservation Genomics ◽  
Next Generation Sequencing Technology ◽  
Genome Wide ◽  
A Genome ◽  
Wide Range ◽  
Blue Whales

Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale ( Balaenoptera musculus ). In Australia, there are two known feeding aggregations of the pygmy blue whale ( B. m. brevicauda ) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere.

Genetic ablation of PRDM1 in antitumor T cells enhances therapeutic efficacy of adoptive immunotherapy

Blood ◽  
2021 ◽  
Author(s):  
Toshiaki Yoshikawa ◽  
Zhiwen Wu ◽  
Satoshi Inoue ◽  
Hitomi Kasuya ◽  
Hirokazu Matsushita ◽  
...  
Keyword(s):  
T Cells ◽  
Cell Differentiation ◽  
T Cell ◽  
Therapeutic Efficacy ◽  
T Cell Differentiation ◽  
Memory Phenotype ◽  
A Genome ◽  
Wide Range ◽  
Engineered T Cells ◽  
Early Memory

Adoptive cancer immunotherapy can induce objective clinical efficacy in patients with advanced cancer; however, a sustained response is achieved in a minority of cases. The persistence of infused T cells is an essential determinant of a durable therapeutic response. Antitumor T cells undergo a genome-wide remodeling of the epigenetic architecture upon repeated antigen encounters, which inevitably induces progressive T-cell differentiation and the loss of longevity. In this study, we identified PR domain zinc finger protein 1 (PRDM1) i.e., Blimp-1, as a key epigenetic gene associated with terminal T-cell differentiation. The genetic knockout of PRDM1 by clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated protein 9 (Cas9) supported the maintenance of an early memory phenotype and polyfunctional cytokine secretion in repeatedly stimulated chimeric antigen receptor (CAR)-engineered T cells. PRDM1 disruption promoted the expansion of less differentiated memory CAR-T cells in vivo, which enhanced T-cell persistence and improved therapeutic efficacy in multiple tumor models. Mechanistically, PRDM1-ablated T cells displayed enhanced chromatin accessibility of the genes that regulate memory formation, thereby leading to the acquisition of gene expression profiles representative of early memory T cells. PRDM1 knockout also facilitated maintaining an early memory phenotype and cytokine polyfunctionality in T-cell receptor-engineered T cells as well as tumor-infiltrating lymphocytes. In other words, targeting PRDM1 enabled the generation of superior antitumor T cells, which is potentially applicable to a wide range of adoptive cancer immunotherapies.

Double-stranded RNA unwinding and modifying activity is detected ubiquitously in primary tissues and cell lines

1990 ◽  
Vol 10 (10) ◽  
pp. 5586-5590
Author(s):  
R W Wagner ◽  
C Yoo ◽  
L Wrabetz ◽  
J Kamholz ◽  
J Buchhalter ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Differentiation ◽  
Cell Lines ◽  
Somatic Cells ◽  
Housekeeping Genes ◽  
Cell Types ◽  
Double Stranded Rna ◽  
Level Of Activity ◽  
Wide Range ◽  
Rna Unwinding

A double-stranded RNA unwinding and modifying activity was found to be present in a wide range of tissues and cell types. The level of activity did not vary significantly with respect to the state of cell differentiation, cell cycle, or transformation. Thus, the unwinding and modifying activity, localized in the nucleus in somatic cells and capable of converting many adenosine residues to inosine, appears to be one of the housekeeping genes.

scholarly journals DEEPSEN: a convolutional neural network based method for super-enhancer prediction

2019 ◽  
Vol 20 (S15) ◽  
Author(s):  
Hongda Bu ◽  
Jiaqi Hao ◽  
Yanglan Gan ◽  
Shuigeng Zhou ◽  
Jihong Guan
Keyword(s):  
Neural Network ◽  
Alzheimer’S Disease ◽  
Convolutional Neural Network ◽  
Computational Method ◽  
Cell Identity ◽  
Common Diseases ◽  
Enhancer Prediction ◽  
Expression Of Genes ◽  
Super Enhancer ◽  
Genome Wide

Abstract Background Super-enhancers (SEs) are clusters of transcriptional active enhancers, which dictate the expression of genes defining cell identity and play an important role in the development and progression of tumors and other diseases. Many key cancer oncogenes are driven by super-enhancers, and the mutations associated with common diseases such as Alzheimer’s disease are significantly enriched with super-enhancers. Super-enhancers have shown great potential for the identification of key oncogenes and the discovery of disease-associated mutational sites. Results In this paper, we propose a new computational method called DEEPSEN for predicting super-enhancers based on convolutional neural network. The proposed method integrates 36 kinds of features. Compared with existing approaches, our method performs better and can be used for genome-wide prediction of super-enhancers. Besides, we screen important features for predicting super-enhancers. Conclusion Convolutional neural network is effective in boosting the performance of super-enhancer prediction.

scholarly journals The Antisense Transcriptomes of Human Cells

Science ◽  
2008 ◽  
Vol 322 (5909) ◽  
pp. 1855-1857 ◽  
Author(s):  
Yiping He ◽  
Bert Vogelstein ◽  
Victor E. Velculescu ◽  
Nickolas Papadopoulos ◽  
Kenneth W. Kinzler
Keyword(s):  
Mammalian Cells ◽  
Cell Types ◽  
Human Cells ◽  
Antisense Transcripts ◽  
Genome Wide ◽  
Human Genes ◽  
A Genome ◽  
Dna Strand ◽  
The Relationship ◽  
Rna Transcript

Transcription in mammalian cells can be assessed at a genome-wide level, but it has been difficult to reliably determine whether individual transcripts are derived from the plus or minus strands of chromosomes. This distinction can be critical for understanding the relationship between known transcripts (sense) and the complementary antisense transcripts that may regulate them. Here, we describe a technique that can be used to (i) identify the DNA strand of origin for any particular RNA transcript, and (ii) quantify the number of sense and antisense transcripts from expressed genes at a global level. We examined five different human cell types and in each case found evidence for antisense transcripts in 2900 to 6400 human genes. The distribution of antisense transcripts was distinct from that of sense transcripts, was nonrandom across the genome, and differed among cell types. Antisense transcripts thus appear to be a pervasive feature of human cells, which suggests that they are a fundamental component of gene regulation.

Genome-wide identification of SSR markers in the Brassica A genome and their utility in breeding

2016 ◽  
Vol 96 (5) ◽  
pp. 808-818 ◽  
Author(s):  
Neil Hobson ◽  
Habibur Rahman
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Low Cost ◽  
Pak Choi ◽  
Genome Wide ◽  
A Genome ◽  
Wide Range ◽  
Genetic Pools ◽  
High Level ◽  
Simple Sequence

Simple sequence repeat (SSR) markers can be applied to genotyping projects at low cost with inexpensive equipment. The objective of this study was to develop SSR markers from the publically-available genome sequence of Brassica rapa and provide the physical position of these markers on the chromosomes for use in breeding and research. To assess the utility of these new markers, a subset of 60 markers were used to genotype 43 accessions of B. rapa. Fifty-five markers from the 10 chromosome scaffolds produced a total of 730 amplicons, which were then used to perform a phylogenetic analysis of the accessions, illustrating their utility in distinguishing between a wide range of germplasm. In agreement with similar studies of genetic diversity, our markers separated accessions into distinct genetic pools including Chinese cabbage, Chinese winter oilseed, European winter oilseed, Canadian spring oilseed, pak-choi, turnip, and yellow sarson. The results further illustrate the presence of a high level of genetic diversity in B. rapa, and demonstrate the potential of these SSR markers for use in breeding and research.

scholarly journals Integrated computational and experimental identification of p53, KRAS and VHL mutant selection associated with CRISPR-Cas9 editing

2018 ◽  
Author(s):  
Sanju Sinha ◽  
Karina Barbosa Guerra ◽  
Kuoyuan Cheng ◽  
Mark DM Leiserson ◽  
David M Wilson ◽  
...  
Keyword(s):  
Gene Editing ◽  
Mutant Cell ◽  
Cell Types ◽  
Driver Mutations ◽  
Mutant Selection ◽  
Cancer Driver ◽  
Genome Wide ◽  
A Genome ◽  
Induced Changes ◽  
Different Cell Types

AbstractRecent studies have reported that CRISPR-Cas9 gene editing induces a p53-dependent DNA damage response in primary cells, which may select for cells with oncogenic p53 mutations11,12. It is unclear whether these CRISPR-induced changes are applicable to different cell types, and whether CRISPR gene editing may select for other oncogenic mutations. Addressing these questions, we analyzed genome-wide CRISPR and RNAi screens to systematically chart the mutation selection potential of CRISPR knockouts across the whole exome. Our analysis suggests that CRISPR gene editing can select for mutants of KRAS and VHL, at a level comparable to that reported for p53. These predictions were further validated in a genome-wide manner by analyzing independent CRISPR screens and patients’ tumor data. Finally, we performed a new set of pooled and arrayed CRISPR screens to evaluate the competition between CRISPR-edited isogenic p53 WT and mutant cell lines, which further validated our predictions. In summary, our study systematically charts and points to the potential selection of specific cancer driver mutations during CRISPR-Cas9 gene editing.

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