Search bioRxivSearch

bioRxiv · 10.1101/503771

Transcriptional activation of DBP by hnRNP K facilitates circadian rhythm.

Abstract

D-site albumin promoter binding protein (DBP) supports the rhythmic transcription of downstream genes, in part by displaying high-amplitude cycling of its own transcripts compared to other circadian clock genes. However, the underlying mechanism remains elusive. Here, we demonstrated that poly(C) motif within DBP proximal promoters, in addition to an E-box element, provoked the transcriptional activation through increased RNA polymerase 2 (Pol2) recruitment by inducing higher chromatin accessibility. We also clarified that heterogeneous nuclear ribonucleoprotein K (hnRNP K) is a key regulator that binds to the poly(C) motif on single-stranded DNAs in vitro. Chromatin immunoprecipitation further confirmed the expression-dependent and rhythmic binding of hnRNP K which was inhibited through its cytosolic localization mediated by time-dependent ERK activation. Knockdown of hnRNP K triggered low-amplitude mRNA rhythms in DBP and other core clock genes through transcriptional or post-transcriptional regulation. Finally, transgenic depletion of a Drosophila homolog of hnRNP K in circadian pacemaker neurons lengthened 24-hour periodicity in free-running locomotor behaviors. Taken together, our results provide new insights into the function of hnRNP K as a transcriptional amplifier of DBP, which acts rhythmically through its intracellular localization by the ERK phosphorylation and as an mRNA stabilizer along with its physiological significance in circadian rhythms of Drosophila.\n\nSignificance StatementIn the case of mood disorders and the aging process, the mRNA expression and amplitude level of clock genes, including DBP, were reported to be diminished. However, the reason behind this decrease of clock gene amplitude and expression level remained unclear. Through this study, we revealed the regulatory mechanism behind the expression of clock genes, especially of DBP mRNA expression. In addition, we discovered that hnRNP K regulates more core clock genes than what we have previously known, such as Clock and Periods. Finally, we demonstrated the physiological significance of hnRNP K in Drosophila through its RNAi line model. Hence, our findings show the regulatory mechanism of circadian rhythm that may provide insight on mood disorder and aging process.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kwon, P. K., Lee, K.-H., Kim, J.-h., Tae, S., Ham, S., Kim, H.-M., Choi, J.-H., Jeong, Y.-H., Kim, S. W., Yi, H., Ku, H.-O., Roh, T.-Y., Lim, C., Kim, K.-T.. 2018-12-26. Transcriptional activation of DBP by hnRNP K facilitates circadian rhythm.. https://doi.org/10.1101/503771

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience