Biology subjects

Chai, L.

Publications and source records attributed to Chai, L..

5 recordsLinked to original sources

bioRxiv2020

RNA LEVER Mediates Long-Range Regulation of ε-globin by Keeping PRC2 in Check

Polycomb Repressive Complex 2 (PRC2) is an epigenetic regulator required for gene silencing during embryonic development. Previous studies have reported that PRC2 interacts with RNA in a promiscuous manner, but the biological functions of such interaction are unknown. Here we present a seesaw mechanism for the regulation of {varepsilon}-globin through inactivating EZH2 by an upstream non-coding RNA (LEVER). We show that LEVER, a non-coding RNA identified by RNA immunoprecipitation sequencing (RIP-seq) of the PRC2 core subunit EZH2 and Nanopore sequencing, binds PRC2 and thereby prevents the accumulation of H3K27 methylation along the genomic region where LEVER RNA is transcribed. The open chromatin within the LEVER locus in turn competes for the chromatin interaction between the {varepsilon}-globin promoter and the Locus Control Region (LCR), working as a negative regulatory element of {varepsilon}-globin expression. Hence, LEVER RNA negatively regulates {varepsilon}-globin by sequestering PRC2 from repressing the LEVER locus, which is a competitor of the {varepsilon}-globin-LCR interaction.

molecular biology↗

bioRxiv2020

Targeted intragenic demethylation initiates chromatin rewiring for gene activation

Aberrant DNA methylation in the region surrounding the transcription start site is a hallmark of gene silencing in cancer. Currently approved demethylating agents lack specificity and exhibit high toxicity. Herein we show, using the p16 gene as an example, that targeted demethylation of the promoter-exon 1-intron 1 (PrExI) region initiates an epigenetic wave of local chromatin remodeling and distal long-range interactions, culminating in gene-locus specific activation. Through development of CRISPR-DiR (DNMT1-interacting RNA), in which ad hoc edited guides block methyltransferase activity in a locus-specific fashion, we demonstrate that demethylation is coupled to epigenetic and topological changes. These results suggest the existence of a specialized "demethylation firing center (DFC)" which can be switched on by an adaptable and selective RNA-mediated approach for locus-specific transcriptional activation. One Sentence SummaryLocus demethylation via CRISPR-DiR reshapes chromatin structure and specifically reactivates its cognate gene.

genetics↗

bioRxiv2020

Pseudogene-mediated DNA demethylation leads to oncogene activation

Despite being one of the leading causes of cancer-related deaths, there is an unmet clinical need for hepatocellular carcinoma (HCC) patients. The lack of effective treatment is, at least in part, due to our lack of understanding of the molecular pathogenesis of this disease. Oncofetal protein SALL4 is re-activated in patients with aggressive HCC along with other solid tumors and hematologic malignancies. This study identifies a previously unrecognized mechanism of SALL4 reactivation which is mediated by pseudogene-induced demethylation. Using a locus-specific demethylating technology, we identified the critical CpG region for SALL4 expression. We showed that SALL4 pseudogene 5 hypomethylates this region through interaction with DNMT1, resulting in SALL4 upregulation. Intriguingly, pseudogene 5 is significantly upregulated in a hepatitis B virus (HBV) model prior to SALL4 induction, and both are increased in HBV-HCC patients. Our results suggest that pseudogene-mediated demethylation represents a unique mechanism of oncogene activation in cancer. SignificanceOur study provides a mechanistic link between HBV infection, activation of the oncogene SALL4, and HCC. We reveal a previously undescribed capability of a pseudogene to epigenetically activate an oncogene by demethylation in a locus-specific manner.

cancer biology↗

bioRxiv2020

Zinc finger protein SALL4 functions through an AT-rich motif to regulate heterochromatin formation

SummaryThe zinc finger transcription factor SALL4 is highly expressed in embryonic stem cells, down-regulated in most adult tissues, but reactivated in many aggressive cancers. This unique expression pattern makes SALL4 an attractive target for designing therapeutic strategies. However, whether SALL4 binds DNA directly to regulate gene expression is unclear and many of its targets in cancer cells remain elusive. Here, through an unbiased screen of protein binding microarray (PBM) and Cleavage Under Targets and Release Using Nuclease (CUT&RUN) experiments, we identified and validated the DNA binding domain of SALL4 and its consensus binding sequence. Combined with RNA-seq analyses after SALL4 knockdown, we discovered hundreds of new SALL4 target genes that it directly regulates in aggressive liver cancer cells, including genes encoding a family of Histone 3 Lysine 9-specific Demethylases (KDMs). Taken together, these results elucidated the mechanism of SALL4 DNA binding and revealed novel pathways and molecules to target in SALL4-dependent tumors.Competing Interest StatementThe authors have declared no competing interest.View Full Text

molecular biology↗

bioRxiv2020

Network Analysis and Human Single Cell Brain Transcriptomics Reveal Novel Aspects of Alpha-Synuclein (SNCA) Biology

Alpha-synuclein (SNCA) aggregates are pathological hallmarks of synucleinopathies, neurodegenerative disorders including Parkinsons Disease (PD) and Lewy Body Dementia (LBD). Functional networks are not yet well-characterized for SNCA by CNS cell type. We investigated cell-specific differences in SNCA expression using Allen Brain Database single-nucleus RNA-seq data from human Middle Temporal Gyrus (MTG, 15,928 nuclei) and Anterior Cingulate Cortex (ACC, 7,258 nuclei). Weighted gene co-expression analysis (WGCNA) and hierarchical clustering identified a conserved SNCA co-expression module. Module genes were highly conserved (p < 10-10) and most highly expressed in excitatory neurons versus inhibitory neurons and other glial cells. SNCA co-expression module genes from ACC and MTG regions were then used to construct a protein-protein interaction (PPI) network, with SNCA empirically top hub. Genes in the SNCA PPI network were compared with genes nearest single nucleotide polymorphisms linked with PD risk in genome-wide association studies. 16 genes in our PPI network are nearest genes to PD risk loci (p < 0.0006) and 55 genes map within 100kb. Selected SNCA PPI network genes nearest PD risk loci were disrupted by CRISPR knock out gene editing for validation of network functional significance; disruption of STK39, GBA, and MBNL2 resulted in significantly elevated intracellular SNCA expression.

neuroscience↗