Gene activation guided by nascent RNA-bound transcription factors

Stochastic Modeling of Biophysical Responses to Perturbation

Recent advances in high-throughput, multi-condition experiments allow for genome-wide investigation of how perturbations affect transcription and translation in the cell across multiple biological entities or modalities, from chromatin and mRNA information to protein production and spatial morphology. This presents an unprecedented opportunity to unravel how the processes of DNA and RNA regulation direct cell fate determination and disease response. Most methods designed for analyzing large-scale perturbation data focus on the observational outcomes, e.g., expression; however, many potential transcriptional mechanisms, such as transcriptional bursting or splicing dynamics, can underlie these complex and noisy observations. In this analysis, we demonstrate how a stochastic biophysical modeling approach to interpreting high-throughout perturbation data enables deeper investigation of the 'how' behind such molecular measurements. Our approach takes advantage of modalities already present in data produced with current technologies, such as nascent and mature mRNA measurements, to illuminate transcriptional dynamics induced by perturbation, predict kinetic behaviors in new perturbation settings, and uncover novel populations of cells with distinct kinetic responses to perturbation.

RGS1 Enhancer RNA Promotes Gene Transcription by Recruiting Transcription Factor FOXJ3 and Facilitates Osteoclastogenesis Through PLC-IP3R-dependent Ca2+ Response in Rheumatoid Arthritis

Recent evidence has highlighted the functions of enhancers in modulating transcriptional machinery and affecting the development of human diseases including rheumatoid arthritis (RA). Enhancer RNAs (eRNAs) are RNA molecules transcribed from active enhancer regions. This study investigates the specific function of eRNA in gene transcription and osteoclastogenesis in RA. Regulator of G protein signaling 1 (RGS1)-associated eRNA was highly activated in osteoclasts according to bioinformatics prediction. RGS1 mRNA was increased in mice with collagen-induced arthritis as well as in M-CSF/soluble RANKL-stimulated macrophages (derived from monocytes). This was ascribed to increased RGS1 eRNA activity. Silencing of 5'-eRNA blocked the binding between forkhead box J3 (FOXJ3) and the RGS1 promoter, thus suppressing RGS1 transcription. RGS1 accelerated osteoclastogenesis through PLC-IP3R-dependent Ca2+ response. Knockdown of either FOXJ3 or RGS1 ameliorated arthritis severity, improved pathological changes, and reduced osteoclastogenesis and bone erosion in vivo and in vitro. However, the effects of FOXJ3 silencing were negated by RGS1 overexpression. In conclusion, this study demonstrates that the RGS1 eRNA-driven transcriptional activation of the FOXJ3/RGS1 axis accelerates osteoclastogenesis through PLC-IP3R dependent Ca2+ response in RA. The finding may offer novel insights into the role of eRNA in gene transcription and osteoclastogenesis in RA.

Nonspecific Interactions in Transcription Regulation and Organization of Transcriptional Condensates

Eukaryotic cells are characterized by a high degree of compartmentalization of their internal contents, which ensures precise and controlled regulation of intracellular processes. During many processes, including different stages of transcription, dynamic membraneless compartments termed biomolecular condensates are formed. Transcription condensates contain various transcription factors and RNA polymerase and are formed by high- and low-specificity interactions between the proteins, DNA, and nearby RNA. This review discusses recent data demonstrating important role of nonspecific multivalent protein-protein and RNA-protein interactions in organization and regulation of transcription.

Single-cell RNA sequencing uncovers the cell type-dependent transcriptomic changes in the retrosplenial cortex after peripheral nerve injury

The retrosplenial cortex (RSC) is a vital area for storing remote memory and has recently been found to undergo broad changes after peripheral nerve injury. However, little is known about the role of RSC in pain regulation. Here, we examine the involvement of RSC in the pain of mice with nerve injury. Notably, reducing the activities of calcium-/calmodulin-dependent protein kinase type II-positive splenial neurons chemogenetically increases paw withdrawal threshold and extends thermal withdrawal latency in mice with nerve injury. The single-cell or single-nucleus RNA-sequencing results predict enhanced excitatory synaptic transmissions in RSC induced by nerve injury. Local infusion of 1-naphthyl acetyl spermine into RSC to decrease the excitatory synaptic transmissions relieves pain and induces conditioned place preference. Our data indicate that RSC is critical for regulating physiological and neuropathic pain. The cell type-dependent transcriptomic information would help understand the molecular basis of neuropathic pain.

Transcription factors and splice factors - interconnected regulators of stem cell differentiation

Purpose of review

The underlying molecular mechanisms that direct stem cell differentiation into fully functional, mature cells remain an area of ongoing investigation. Cell state is the product of the combinatorial effect of individual factors operating within a coordinated regulatory network. Here, we discuss the contribution of both gene regulatory and splicing regulatory networks in defining stem cell fate during differentiation and the critical role of protein isoforms in this process.

Recent findings

We review recent experimental and computational approaches that characterize gene regulatory networks, splice regulatory networks, and the resulting transcriptome and proteome they mediate during differentiation. Such approaches include long-read RNA sequencing, which has demonstrated high-resolution profiling of mRNA isoforms, and Cas13-based CRISPR, which could make possible high-throughput isoform screening. Collectively, these developments enable systems-level profiling of factors contributing to cell state.

Summary

Overall, gene and splice regulatory networks are important in defining cell state. The emerging high-throughput systems-level approaches will characterize the gene regulatory network components necessary in driving stem cell differentiation.