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Biology subjects

Larson, D. R.

Publications and source records attributed to Larson, D. R..

16 recordsLinked to original sources

Highly Constrained Kinetic Models for Single-Cell Gene Expression Analysis

Advances in single-cell RNA sequencing (scRNA-seq) and high-resolution imaging techniques, such as single-molecule tracking (SMT) of RNA and transcription factors, allow researchers to quantitatively explore dynamics and variation but have never been integrated into a single coherent model. In this study, we propose a kinetic model that intakes multiple data types, including steady-state and time-resolved datasets, to simulate and fit stochastic models of gene transcription to experimental data. We find that 3-state models provide an essential improvement over the widely used 2-state model for most genes and have the property of kinetic proofreading, which we argue is advantageous in the cellular context. We further identify two dimensionless quantities derived from the rate equations which are broadly conserved across genes. Finally, we extend this model to scRNA-seq datasets to infer kinetic rates under defined perturbations and reveal biochemical insight into the mechanism of action of transcription factors.

bioinformatics↗

Detection of a sequence feature for recursive splicing

RNA splicing is directed by cis-acting sequence signals interacting with trans-acting factors to remove introns from newly transcribed pre-mRNA, joining exons to generate mature mRNA. Splicing happens far more often than observed exon-exon junctions in mRNA. As one contributing process, the spliceosome progressively removes large introns in small segments by recursive splicing, instead of splicing the whole intron at one time. However, the cis-acting sequences associated with recursive splicing have not been identified. Using probabilistic mixture models, we found that recursive splicing occurs more frequently in first introns, which are typically longer, and exhibit a distinct CG-rich sequence feature in the sequences flanking the upstream 5SS, and depletion of CGs in the downstream polypyrimidine tract. Remarkably, recursive splicing is also more frequent in downstream introns of genes containing first introns with these properties. Mechanistically, these data suggest that early events in RNA synthesis and processing influence the prevalence of recursive splicing for the rest of the transcript. Finally, we developed a sequence-dependent classifier for recursive splicing, which we tested with a novel medium-throughput primer extension assay. In summary, the usage of recursive splicing sites is established at the beginning of RNA synthesis through newly-identified sequence motifs flanking both ends of the first intron.

genomics↗

Kinetic proofreading as a mechanism for transcriptional specificity in living human cells

How target genes selectively respond to their specific transcription factors (TF) amid the vast excess of non-specific TFs in the nucleus remains a fundamental question in gene regulation. Here, we develop an integrated single-molecule imaging framework to quantitatively link TF dynamics with nascent transcription kinetics at endogenous gene loci to address the transcription factor specificity. Using endogenously Halo-tagged glucocorticoid receptor (GR), we show that ligand activation rapidly increases GR chromatin binding and residence times without substantially altering search kinetics. Live-cell nascent RNA imaging reveals that GR is essential for Dex induction of ERRFI1 transcription via increased burst frequency. Gene locus-specific, dual-color tracking demonstrates that GR display longer residence times in general near its target gene ERRFI1 compared to the non-target MYH9 locus, consistent with a kinetic proofreading model. A high-throughput imaging-based CRISPR screen identifies ATP-dependent processes, including neddylation and chromatin remodeling, and similarly, acute inhibition of the TFIIH XPB selectively impairs ERRFI1 transcription while sparing MYH9, implicating ATPase activity in GR target discrimination. In all, these findings establish that promoters function as dwell-time rather than occupancy detectors, discriminating specific from non-specific TF interactions through energy-dependent mechanisms.

biophysics↗

TAD boundary architecture and gene activity are uncoupled

Topologically associating domains (TADs) are prominent features of genome organization. A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the structure-function relationship of TADs by simultaneously assessing the behavior of TAD boundaries and gene activity at the single-cell and -allele level using high-throughput imaging. We find that while TAD boundaries pair more frequently than non-boundary regions, these interactions are infrequent and are uncorrelated with transcriptional activity of genes within the TAD. Similarly, acute global transcriptional inhibition or gene-specific activation does not alter TAD boundary proximity. Furthermore, while loss of the cohesin component RAD21 alters gene activity, disruption of TAD boundaries by depletion of the architectural chromatin protein CTCF is insufficient to alter expression of genes within the TAD. These results suggest that TAD boundary architecture and gene activity are largely uncoupled.

cell biology↗

Cell size-dependent mRNA transcription drives proteome remodeling

Increasing cell size drives proteomic changes that impact cell physiology. However, the molecular basis of size-dependent proteome remodeling has remained unclear. Here, we develop an inducible Cyclin D1 expression system in human cells to generate populations of proliferating cells spanning over a two-fold size range. We use this genetic system to make comprehensive genome-wide measurements of mRNA and protein concentrations and stability. We find that protein and mRNA turnover rates are weakly related to cell size, but that mRNA concentrations are strongly size-dependent. This establishes that transcriptional regulation is the basis of proteome remodeling. Live-cell imaging of endogenous mRNAs using MS2 fluorescent protein binding motifs is used to measure how transcriptional dynamics change with cell size. Larger cells prolong transcriptional bursts and shorten inactive periods between bursts but maintain similar burst amplitudes to achieve transcriptional scaling. Taken together, our results show how transcription is modulated by cell size to remodel the proteome and alter cell physiology.

cell biology↗

A methodology to reduce the localization error in multi-loci microscopy provides new insights into enhancer biology

Numerous functions hinge on the spatial dynamics of different genomic loci. Hence, microscopy techniques, such as chromatin tracing, have been developed to localize multiple loci in living and fixed cells. Depending on the throughput and specifics of the experiment, localization errors can still obscure the true spatial locations. We have developed a post-processing methodology to address this challenge without the need for additional experimentation: Loci Enabled Advanced Resolution (LEAR). By leveraging the fact that localization errors increase the variability of the displacements between loci, and given an approximation of the localization error, we can determine the ground truth spatial variation for each pair of loci to guide an iterative error correction process. After validating our approach with simulation and experiment, we then applied our approach to existing chromatin tracing data that probed the relation between chromatin organization and Sox2 regulation, where previous work found no correlation between enhancer-promoter proximity and transcription bursts in individual cells. We discovered a correlation previously obscured by localization error, clearly demonstrating the need for the methodology. We then investigated the influence of loop-extrusion on higher order multi-way contact frequencies, which dramatically increased with the application of the LEAR method, finding that certain multi-way contacts were only present with loop-extrusion.

biophysics↗

U2AF regulates the translation and localization of nuclear-encoded mitochondrial mRNAs

The mechanisms underlying molecular targeting to mitochondria remain enigmatic, yet this process is crucial for normal cellular function. The RNA binding proteins U2AF1/2 form a heterodimer (U2AF) that shuttles between the nucleus and cytoplasm, regulating splicing in the nucleus and translation in the cytoplasm. Our study identifies an unexpected role for U2AF in mitochondrial function. We demonstrate that U2AF interacts with nuclear-transcribed mitochondrial mRNAs and proteins, inhibits translation, localizes to the outer mitochondrial membrane, and regulates mRNA localization to mitochondria. Moreover, an oncogenic point-mutation in U2AF1(S34F) disrupts this regulation, leading to altered mitochondrial structure, increased translation, and OXPHOS-dependent metabolic rewiring, recapitulating changes observed in bone marrow progenitors from patients with myelodysplastic syndromes. These findings reveal a non-canonical role for U2AF, where it modulates multiple aspects of mitochondrial function by regulating the translation and mitochondrial targeting of nuclear-encoded mRNAs.

molecular biology↗

REAL-TIME VISUALIZATION OF SPLICEOSOME ASSEMBLY REVEALS BASIC PRINCIPLES OF SPLICE SITE SELECTION

The spliceosome is a megadalton protein-RNA complex which removes introns from pre-mRNA, yet the dynamic early assembly steps have not been structurally resolved. Specifically, how the spliceosome selects the correct 3 splice site (3SS) amongst highly similar non-functional sites is not known. Here, we develop a kinetic model of splice site selection based on single-molecule U2AF heterodimer imaging in vitro and in vivo. The model successfully predicts alternative splicing patterns and indicates that 3SS selection occurs while U2AF is in complex with the spliceosome, not during initial binding. This finding indicates the spliceosome operates in a partial kinetic proofreading regime, catalyzed in part by the helicase DDX42, which increases selectivity to the underlying U2AF binding site while still allowing for efficient forward progression. ONE-SENTENCE SUMMARYWe apply a kinetic proofreading model to elucidate how transient U2AF binding leads to high fidelity splice site selection.

biophysics↗

Identification of molecular determinants of gene-specific bursting patterns by high-throughput imaging screens

Stochastic transcriptional bursting is a universal property of active genes. While different genes exhibit distinct bursting patterns, the molecular mechanisms for gene-specific stochastic bursting are largely unknown. We have developed and applied a high-throughput-imaging based screening strategy to identify cellular factors and molecular mechanisms that determine the bursting behavior of human genes. Focusing on epigenetic regulators, we find that protein acetylation is a strong acute modulator of burst frequency, burst size and heterogeneity of bursting. Acetylation globally affects the Off-time of genes but has gene-specific effects on the On-time. Yet, these effects are not strongly linked to promoter acetylation, which do not correlate with bursting properties, and forced promoter acetylation has variable effects on bursting. Instead, we demonstrate acetylation of the Integrator complex as a key determinant of gene bursting. Specifically, we find that elevated Integrator acetylation decreases bursting frequency. Taken together our results suggest a prominent role of non-histone proteins in determining gene bursting properties, and they identify histone-independent acetylation of a transcription cofactor as an allosteric modulator of bursting via a far-downstream bursting checkpoint.

molecular biology↗

HiTIPS: High-Throughput Image Processing Software for the Study of Nuclear Architecture and Gene Expression

High-throughput imaging (HTI) generates complex imaging datasets from a large number of experimental perturbations. Commercial HTI software for image analysis workflows does not allow full customization and adoption of new image processing algorithms in the analysis modules. While open-source HTI analysis platforms provide individual modules in the workflow, like nuclei segmentation, spot detection, or cell tracking, they are often limited in integrating novel analysis modules or algorithms. Here, we introduce the High-Throughput Image Processing Software (HiTIPS) to expand the range and customization of existing HTI analysis capabilities. HiTIPS incorporates advanced image processing and machine learning algorithms for automated cell and nuclei segmentation, spot signal detection, nucleus tracking, spot tracking, and quantification of spot signal intensity. Furthermore, HiTIPS features a graphical user interface that is open to integration of new algorithms for existing analysis pipelines and to adding new analysis pipelines through separate plugins. To demonstrate the utility of HiTIPS, we present three examples of image analysis workflows for high-throughput DNA FISH, immunofluorescence (IF), and live-cell imaging of transcription in single cells. Altogether, we demonstrate that HiTIPS is a user-friendly, flexible, and open-source HTI analysis platform for a variety of cell biology applications.

bioinformatics↗

Synthetic analysis of chromatin tracing and live-cell imaging indicates pervasive spatial coupling between genes

The role of the spatial organization of chromosomes in directing transcription remains an outstanding question in gene regulation. Here, we analyze two recent single-cell imaging methodologies applied across hundreds of genes to systematically analyze the contribution of chromosome conformation to transcriptional regulation. Those methodologies are: 1) single-cell chromatin tracing with super-resolution imaging in fixed cells; 2) high throughput labeling and imaging of nascent RNA in living cells. Specifically, we determine the contribution of physical distance to the coordination of transcriptional bursts. We find that individual genes adopt a constrained conformation and reposition toward the centroid of the surrounding chromatin upon activation. Leveraging the variability in distance inherent in single-cell imaging, we show that physical distance - but not genomic distance - between genes on individual chromosomes is the major factor driving co-bursting. By combining this analysis with live-cell imaging, we arrive at a corrected transcriptional correlation of{phi} {approx} 0.3 for genes separated by < 400 nm. We propose that this surprisingly large correlation represents a physical property of human chromosomes and establishes a benchmark for future experimental studies.

biophysics↗

A Telltale Sign of Irreversibility in Transcriptional Regulation

Transcription occurs in stochastic bursts, i.e., transcription events are temporally clustered. The clustering does not ensue from environmental fluctuations but springs from the intrinsically stochastic behavior of the regulatory process that controls transcription. Based on microscopic observations of transcription at a single gene copy of yeast, we show that the regulatory process is cyclic and irreversible, i.e., the process violates the detailed balance conditions for thermodynamic equilibrium. The theoretical significance of this finding is discussed.

molecular biology↗

Uncoupling from transcription protects polyadenylation site cleavage from inhibition by DNA damage

Pre-mRNA 3-end processing by cleavage and polyadenylation (CPA) is a nuclear process in which RNA polymerase II (Pol II) transcripts are cleaved at the polyadenylation site (PAS cleavage) before addition of a poly(A) tail. While PAS cleavage is usually coupled to transcription termination, for some pre-mRNAs it occurs post-transcriptionally, i.e. after pre-mRNA release from chromatin to nucleoplasm through a downstream co-transcriptional cleavage (CoTC) event. DNA-damaging agents such as ultraviolet-C (UV) irradiation trigger rapid shutdown of pre-mRNA 3-end processing. However, specific compensatory mechanisms exist to ensure efficient 3-end processing for some pre-mRNAs encoding proteins involved in the DNA damage response (DDR), such as the p53 tumor suppressor protein. Here, we show that PAS cleavage of the p53 pre-mRNA occurs in part post-transcriptionally, in a PCF11-independent manner, in the nucleoplasm, following a CoTC-type event. Upon UV-irradiation, cells with an engineered deletion of the p53 CoTC site exhibit impaired 3-end processing of the p53 pre-mRNA, decreased mRNA and protein levels of p53 and its transcriptional target, p21, and altered cell cycle progression. Finally, using a transcriptome-wide analysis of PAS cleavage, we identified additional-including DDR related-pre-mRNAs whose PAS cleavage is maintained in response to UV and occurs post-transcriptionally. These findings indicate that CoTC-type cleavage of pre-mRNAs, followed by PAS cleavage in the nucleoplasm, allows specific pre-mRNAs to escape 3-end processing inhibition in response to UV-induced DNA damage.

molecular biology↗

Tyr is Responsible for the Cctq1a QTL and Links Developmental Environment to Central Corneal Thickness Determination

Central corneal thickness is a quantitative trait with important associations to human health. In a phenotype-driven approach studying corneal thickness of congenic derivatives of C57BLKS/J and SJL/J mice, the critical region for a quantitative trait locus influencing corneal thickness, Cctq1a, was delimited to a 10-gene interval. Exome sequencing, RNAseq, and studying independent mutations eliminated multiple candidate genes and confirmed one. Though the causative gene, Tyr, has no obvious direct function in the transparent cornea, studies with multiple alleles on matched genetic backgrounds, both in isolation and genetic complementation crosses, confirmed allelism of Tyr-Cctq1a; albino mice lacking Tyr function had thin corneas. Albino mice also had increased axial length. Because albinism exposes eyes to increased light, the effect of dark-rearing was tested and found to rescue central corneal thickness. In sum, the results point to an epiphenomenon; developmental light exposure interacts with genotype as an important determinate of adult corneal thickness.

genetics↗

Ribosome biogenesis is a downstream effector of the oncogenic U2AF1-S34F mutation

U2AF1 forms a heterodimeric complex with U2AF2 that is primarily responsible for 3 splice site selection. U2AF1 mutations have been identified in most cancers but are prevalent in Myelodysplastic Syndrome and Acute Myeloid Leukemia, and the most common mutation is a missense substitution of serine-34 to phenylalanine (S34F). However, the U2AF heterodimer also has a non-canonical function as a translational regulator. Here, we report that the U2AF1 S34F mutation results in specific mis-regulation of the translation initiation and ribosome biogenesis machinery, with the potential for widespread translational changes. The net result is a global increase in mRNA translation at the single cell level. Among the translationally upregulated targets of U2AF1-S34F are Nucleophosmin1 (NPM1), which is a major driver of myeloid malignancy. Depletion of NPM1 impairs the viability of wt/S34F cells and causes rRNA processing defects, thus indicating an unanticipated synthetic interaction between U2AF1, NPM1 and ribosome biogenesis. Our results establish a unique molecular phenotype for the U2AF1 mutation which recapitulates translational mis-regulation in myeloid disease.

cell biology↗

Single-molecule imaging reveals the interplay between transcription factors, nucleosomes, and transcriptional bursting

Transcription factors show rapid and reversible binding to chromatin in living cells, and transcription occurs in sporadic bursts, but how these phenomena are related is unknown. Using a combination of in vitro and in vivo single-molecule imaging approaches, we directly correlated binding of the transcription factor Gal4 with the transcriptional bursting kinetics of the Gal4 target genes GAL3 and GAL10 in living yeast cells. We find that Gal4 dwell times sets the transcriptional burst size. Gal4 dwell time depends on the affinity of the binding site and is reduced by orders of magnitude by nucleosomes. Using a novel imaging platform, we simultaneously tracked transcription factor binding and transcription at one locus, revealing the timing and correlation between Gal4 binding and transcription. Collectively, our data support a model where multiple polymerases initiate during a burst as long as the transcription factor is bound to DNA, and a burst terminates upon transcription factor dissociation.

molecular biology↗