Biology subjects

Murata, M.

Publications and source records attributed to Murata, M..

17 recordsLinked to original sources

bioRxiv2026

Repeat element-anchored enhancer-promoter interactions (REEPIs) shape the regulatory landscape of hormone-resistant breast cancer

Repeat elements (REs) comprise over half of the human genome and are increasingly recognized as regulatory components, yet their role in therapy resistance remains unclear. Here, we integrate CAGE and RADICL-seq to map regulatory elements and RNA-chromatin interactions in estrogen receptor-positive breast cancer cells (MCF7) and their long-term estrogen-deprived (LTED) derivatives. We identify repeat element-anchored enhancer-promoter interactions (REEPIs), defined by the presence of annotated REs at both enhancer and promoter sites. In LTED cells, REEPIs are enriched for ERV1 and ERVL elements and involve specific repeat pairings associated with transcription factor combinations such as SP1-SMAD3 and SP1-NFYC. At the gene level, these REEPIs are preferentially linked to genes involved in chromatin remodeling, DNA repair, and lineage plasticity. Our findings reveal a repeat-guided regulatory architecture associated with transcriptional adaptation in endocrine resistance and identify REEPIs as a previously underexplored component of regulatory reprogramming in hormone-resistant breast cancer.

cancer biology↗

bioRxiv2026

The human RNA-DNA interactome is cell type-specific and dynamic

More than twenty years ago, the FANTOM consortium uncovered that mammalian genomes are pervasively transcribed, revealing multitudes of RNAs with unknown functions. A subset of these transcripts has since then been linked to transcriptional control and to chromatin organization via their ability to interact with DNA, suggesting that chromatin-associated RNAs could be key players in genome regulation. Although recent technological advances now enable the mapping of genome-wide RNA-DNA contacts, a lack of analyses integrating these methods with other genomic features and across multiple cellular contexts hinders our comprehensive understanding of the principles underlying RNA-DNA interactions and of their biological importance. As part of the FANTOM6 project, we thus generated RNA-DNA interaction maps in 16 different human cell types, then combined these contacts with multiple layers of other genomic data to investigate how patterns of interaction between RNA and DNA relate to chromatin organization and function. We show that the RNA-DNA interactome is highly dynamic yet reproducibly organized in cell-type specific networks, constituted of a great diversity of interactions that vary in function of their distance, the nature of their sources and the chromatin state of their targets. In particular, we detected numerous regulatory elements that exhibit marked changes in activity when differentially bound by transcripts, implying that thousands of RNA-DNA interactions can play a mechanistic role in gene expression. This regulatory function correlates with RNA-protein interactions and significantly associates with cell type-relevant and disorder-related traits. In addition to providing essential resources for future research in RNA-mediated chromatin regulation, cellular biology and human diseases, our study thus establishes the RNA-DNA interactome as a new genome regulatory layer that defines and maintains cellular identity and behavior.

genomics↗

bioRxiv2026

Co-regulatory changes in Homo sapiens prefrontal cortex shape RNA-chromatin interactions

Noncoding RNAs (ncRNAs) regulate gene expression through RNA-chromatin interactions, yet their role in human brain evolution remains unclear. To map these interactions, we integrated FANTOM6 neurogenic data with a comprehensive atlas of regulatory regions active during early cortical development. This integration effort linked ncRNAs and transcription factors (TFs) to their genomic targets, revealing functional interactions captured by RNA-DNA contact mapping, yet largely missed by chromatin conformation data. Overlaying these interactions with nearly fixed variants in Homo sapiens relative to extinct hominins uncovered widespread rewiring of TF binding, affecting genes implicated in progenitor proliferation and neuronal differentiation. Gene regulatory network reconstruction identified TEAD2 and ONECUT2 as key regulators of intermediate progenitors and migrating neurons. Functional perturbation followed by Cut&Tag and ATAC-seq linked the two TFs to disease- and evolutionarily- relevant pathways. Together, these results show how ncRNA-TF cooperation and selective cis-regulatory rewiring contributed to sapiens-specific features of cortical development.

molecular biology↗

bioRxiv2025

ISRIB promotes aggregation of TIA-1 by modulating its phase separation in vitro

Stress granules (SGs) are non-membranous biomolecular condensates formed through liquid-liquid phase separation (LLPS) of RNA-binding proteins (RBPs) and RNA under stress conditions. T-cell intracellular antigen-1 (TIA-1), a major RBP of SGs, can undergo LLPS via its low-complexity domain, contributing to SG nucleation. Integrated stress response inhibitor (ISRIB), a small molecule that enhances eIF2B activity and inhibits the integrated stress response, has been widely studied for its therapeutic potential in neurodegenerative diseases. However, little is known about how ISRIB directly affects the behavior of SG proteins. Here, we show that ISRIB enhances TIA-1 phase separation and promotes its aggregation in vitro. Interestingly, this effect was mitigated in the presence of RNA or cell lysates, suggesting that RNA-binding plays a protective role against ISRIB-induced aggregation. These findings imply that ISRIB alters the physical properties of SG in an RNA-dependent manner, raising important considerations for their therapeutic application. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=56 SRC="FIGDIR/small/663586v1_ufig1.gif" ALT="Figure 1"> View larger version (14K): org.highwire.dtl.DTLVardef@7e281org.highwire.dtl.DTLVardef@1a7863eorg.highwire.dtl.DTLVardef@15e89b6org.highwire.dtl.DTLVardef@1a33ca4_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Anaerobic Bacteria in the Gut Microbiota Confer Colonization Resistance Against ESBL-Producing Escherichia coli in Mice

Antimicrobial resistance (AMR) is a growing health concern worldwide, and gut microbiota play a significant role in its spread. This study aimed to investigate the impact of antibiotic-induced alterations in gut microbiota on the colonization of extended-spectrum {beta}-lactamase (ESBL)-producing Escherichia coli in a mouse model. C57BL/6J mice were treated with various antibiotics (ampicillin, vancomycin, neomycin, metronidazole, or a cocktail of all four) prior to oral inoculation with ESBL-producing E. coli. 16S rRNA metagenomics analysis revealed significant alterations in gut microbiota composition and diversity following antibiotic treatment. Notably, ampicillin, vancomycin, and the antibiotic cocktail dramatically increased colonization by ESBL-producing E. coli, whereas metronidazole and neomycin treatments had minimal effects. Linear discriminant analysis highlighted that specific anaerobic bacterial groups, namely Bacteroidales, Lachnospiraceae, and Ruminococcaceae, were inversely correlated with colonization by ESBL-producing E. coli. Collectively, these findings suggest that diverse anaerobic bacteria play a crucial role in resistance against AMR bacteria colonization. This study provides insights into the complex interactions between gut microbiota and AMR colonization that could aid in the development of future strategies for risk assessment and eradication of drug-resistant bacteria.

microbiology↗

bioRxiv2025

Cell type-specific intronic RNAs shape genome architecture during neuronal lineage specification

Cell differentiation towards neurons is accompanied by widespread changes in three-dimensional (3D) genome organization and gene expression. Chromatin-associated RNAs have been proposed to be important regulators of such changes; however, the type, abundance, and role of these RNAs during neuronal differentiation remain largely unexplored. Here, we integrate multi-omic data generated in the frame of the Functional ANnoTation Of the Mammalian genome (FANTOM6) to chart 3D genome, RNA-DNA contactome, and transcriptome changes occurring during in vitro differentiation of human induced pluripotent stem cells to neural stem cells and neurons. We reveal a previously unreported phenomenon, in which intronic RNAs engage in long-distance contacts with DNA loci distributed all over the genome. These trans-contacting intronic RNAs (TIRs) are produced from exceptionally long (mean length: 750 kilobases, kb) protein-coding genes that carry ultra-long introns and are selectively expressed in neurons. We show that TIRs do not undergo rapid co-transcriptional degradation but rather accumulate in the nucleus of neuronal cells, forming large dot clouds around their source loci and spreading across the nucleus, as visualized by single-molecule RNA fluorescence in situ hybridization. TIRs engage in contacts with a set of genomic regions (TIR-contacted regions or TIRCs) that carry much shorter (mean length: [~]30 kb) neuronally expressed genes forming high-connectivity hubs. We also show that the expression of genes within TIRCs contacted by the same set of TIRs is highly co-varied, and that TIR source genes, especially their introns, are enriched in genetic risk loci for neurodevelopmental and neuropsychiatric disorders. Our findings point to a functional role of the persistence of long intronic RNAs in the nucleus of neuronal cells and might contribute to explain why neurons uniquely express many ultra-long genes. We propose a model in which TIRs form pan-nuclear scaffolds--which we propose to name introsomes--that constitute a dynamically self-renewing regulatory layer, where transcription itself continuously regenerates the very scaffold that organizes genome function in neurons, and that might be involved in the pathogenesis of neurodevelopmental and neuropsychiatric disorders.

genomics↗

bioRxiv2024

Genome-scale prediction of gene ontology from mass fingerprints reveals new metabolic gene functions

Mass-based fingerprinting can characterize unknown strains, however expansion of these methods to predict specific gene functions is lacking. Therefore, rapid mass fingerprinting was developed to functionally profile a comprehensive yeast knockout library. Matrix assisted laser desorption ionization (MALDI)-time of flight (TOF) mass fingerprints of 3,238 Saccharomyces cerevisiae knockouts were digitized for correlation with gene ontology (GO) annotations. Random forests and support vector machine (SVM) algorithms precisely assigned GO accessions with AUC scores all above 0.83. SVM was the best predictor with average true positive and true negative rates of 0.975 and 0.991, respectively. The SVM model suggested new functions for 28 uncharacterized yeast genes. Metabolomics analysis of two knockouts (YDR215C and YLR122C) of uncharacterized genes predicted to be involved in methylation-related metabolism, showed altered intracellular contents of methionine-related metabolites. Increased S-adenosylmethionine in YDR215C highlights potential for enhancement of methylation pathways. These results demonstrate that MALDI-TOF fingerprints can be rapidly digitized, resulting in datasets that enable prediction of microbial genotypes and even the function of specific genes. This fingerprinting method can inform optimal bioproduction chassis selection.

systems biology↗

bioRxiv2024

CFC-seq: identification of full-length capped RNAs unveil enhancer-derived transcription

Long-read sequencing has transformed transcriptome profiling, yet capturing full-length, non-polyadenylated transcripts like enhancer RNAs (eRNAs) remains challenging. Here, we introduce CFC-seq, combining cap-trapping and in vitro poly(A)-tailing to sequence poly(A) and non-poly(A) RNAs with precise transcription start site. Paired with our assembler, SALA, we identified 39,425 novel transcriptional units, including [~]24,000 eRNAs. Our data reveal a distinct genomic code governing eRNA fate dictated by core promoter architecture. CpG-island enhancers show high chromatin connectivity but yield short, exosome-sensitive RNAs. Conversely, TATA-box enhancers systematically co-opt LTR retrotransposons to inherit structural motifs that produce long, stable, and spliced RNAs. Mechanistically, the pioneer factor NF-Y activates these viral elements to license transcription, balanced by TEAD4 activity across a dual-gear regulatory axis. Finally, non-poly(A) eRNAs terminate via exosome-associated processing at structural-depleted cleavage zones. This comprehensive annotation links enhancer sequence architecture to RNA fate, providing a new transformative framework for decoding the functional human genome. HighlightsO_LIExpanded genomic architecture: CFC-seq unmasks a hidden layer of human transcriptome, identifying 39,425 novel transcriptional units with high-confidence TSS support, including [~]24,000 eRNAs. C_LIO_LITSS-first assembler: We introduce SALA, a specialized long-read assembler that prioritizes authentic 5 Cap-trapped ends to accurately reconstruct the TSS-resolved transcript models. C_LIO_LIGenomic code of eRNA fate: CGI enhancers drive short and exosome-sensitive transcripts associated with repressive H3K27me3 mark and high chromatin connectivity. TATA-box enhancers produce cell-type-specific, long, stable, and frequently spliced eRNAs. C_LIO_LIEvolutionary co-option of retrotransposons: A major fraction of TATA-box eRNAs originate from LTR retrotransposons, providing a direct mechanism for integration of viral elements into the human regulatory landscape. C_LIO_LIA dual-gear pioneering axis: The pioneer factor NF-Y activates unprimed LTR-TATA enhancers to license transcription independent of histone acetylation cascades, operating in parallel with TEAD4-mediated activation. C_LIO_LIStructural determinants of eRNA termination: Non-poly(A) eRNA TES features a secondary structure depletion zone that coordinates pol II termination and calibrates exosome-mediated turnover. C_LI

genomics↗

bioRxiv2024

Dual expansion routes likely underlie the present-day population structure in a Parnassius butterfly across the Japanese Archipelago

The Japanese Archipelago, comprising a series of isolated yet interconnected islands, had been geographically separated from the Eurasian continent. The linear topography presents a unique biogeographic context for dispersing organisms from the continent. In this study, we utilized mitochondrial DNA (mtDNA) and single nucleotide polymorphism (SNP) variation to elucidate the dispersal history of the Japanese clouded butterfly Parnassius glacialis across the Japanese Archipelago, including North Island (Hokkaido), Main Island (Honshu) and Shikoku Island. Our analysis of mtDNA (COI, COII) at 1192 base pairs (bps) revealed 49 haplotypes and identified three distinct haplotype groups in the network. These groups correspond geographically to East Japan, West Japan, and Chugoku-Shikoku. The Chugoku-Shikoku group is the most ancient lineage. Interestingly, the Chugoku-Shikoku lineage showed a closer network connection to the East Japan lineage than the geographically proximate West Japan lineage. Divergence time estimates suggest that the Chugoku-Shikoku lineage diverged from the continental P. glacialis approximately 3.05 million years ago (MYA). Subsequently, from the Chugoku-Shikoku lineage, the East Japan and West Japan lineages diverged around 1.05 MYA, with the subsequent divergence between the East and West Japan lineages occurring at approximately 0.62 MYA. Based on the 3067 SNP genotypes, population structure analysis revealed five distinct genetic structures within the Japanese Archipelago, indicating geographical differentiation. From the analyses by mtDNA and SNP variations, four primary genetic barriers were identified: between Hokkaido and Honshu, between East and Central Japan, within the Kansai region, and within the Chugoku region. The former three lines corresponded to the Blakiston Line, the Itoigawa-Shizuoka Tectonic Line, and Lake Biwa, respectively. These findings suggest that P. glacialis diverged from the continental P. glacialis and expanded its range across the Japanese Archipelago via the North and South routes, establishing its current distribution.

molecular biology↗

bioRxiv2024

The minimal SUF system can substitute for the canonical iron-sulfur cluster biosynthesis systems by using inorganic sulfide as the sulfur source.

Biosynthesis of iron-sulfur (Fe-S) clusters is indispensable for living cells. Three biosynthesis systems termed NIF, ISC and SUF have been extensively characterized in both bacteria and eukarya. For these L-cysteine is the sulfur source. A bioinformatic survey suggested the presence of a minimal SUF system composed of only two components, SufB* (a putative ancestral form of SufB and SufD) and SufC, in anaerobic archaea and bacteria. Here, we report the successful complementation of an Escherichia coli mutant devoid of the usual ISC and SUF systems upon expression of the archaeal sufB*C genes. Strikingly, this heterologous complementation occurred under anaerobic conditions only when sulfide was supplemented to the culture media. Mutational analysis and structural predictions suggest that the archaeal SufB*C most likely forms a SufB*2C2 complex and serves as the scaffold for de novo Fe-S cluster assembly using the essential Cys and Glu residues conserved between SufB* and SufB, in conjunction with a His residue shared between SufB* and SufD. We also demonstrate artificial conversion of the SufB*2C2 structure to the SufBC2D type by introducing several mutations to the two copies of sufB*. Our study thus elucidates the molecular function of this minimal SUF system and suggests that it is the evolutionary prototype of the canonical SUF system.

microbiology↗

bioRxiv2022

Memory B cells and memory T cells induced by SARS-CoV-2 booster vaccination or infection show different dynamics and efficacy to the Omicron variant.

Although BNT162b2 vaccination was shown to prevent infection and reduce COVID-19 severity, and the persistence of immunological memory generated by the vaccination has not been well elucidated. We evaluated memory B and T cell responses to the SARS-CoV-2 spike protein before and after the third BNT162b2 booster. Although the antibody titer against the spike receptor-binding domain (RBD) decreased significantly 8 months after the second vaccination, the number of memory B cells continued to increase, while the number of memory T cells decreased slowly. Memory B and T cells from unvaccinated infected patients showed similar kinetics. After the third vaccination, the antibody titer increased to the level of the second vaccination, and memory B cells increased at significantly higher levels before the booster, while memory T cells recovered close to the second vaccination levels. In memory T cells, the frequency of CXCR5+CXCR3+CCR6- cTfh1 was positively correlated with RBD-specific antibody-secreting B cells. Furthermore, T cell-dependent antibody production from reactivated memory B cells in vitro was correlated to the Tfh-like cytokine levels. For the response to variant RBDs, although 60%-80% of memory B cells could bind to the Omicron RBD, their binding affinity was low, while memory T cells show an equal response to the Omicron spike. Thus, the persistent presence of memory B and T cells will quickly upregulate antibody production and T cell responses after Omicron strain infection, which prevents severe illness and death due to COVID-19.

immunology↗

bioRxiv2022

The high-throughput perturbation of long non-coding RNA reveals functional features in stem cells and across cell-types

Within the scope of FANTOM6 consortium, we perform a large-scale knockdown of 200 long non-coding RNAs (lncRNAs) in human induced pluripotent stem (iPS) cells, and systematically characterize their roles in self-renewal and pluripotency. We find 36 lncRNAs (18%) exhibiting cell growth inhibition From the knockdown of 123 lncRNAs with transcriptome profiling, 36 lncRNAs (29.3%) show molecular phenotypes. Integrating the molecular phenotypes with chromatin-interaction assays further reveals cis- and trans-interacting partners as potential primary targets. Additionally, cell type enrichment analysis identifies lncRNAs associated with pluripotency while the knockdown of LINC02595, CATG00000090305.1 and RP11-148B6.2 modulates colony formation of iPS cells. We compare our results with previously published fibroblasts phenotyping data and find that 2.9% of the lncRNAs exhibit consistent cell growth phenotype, whereas we observe 58.3% agreement in molecular phenotypes. This highlights molecular phenotyping is more comprehensive in revealing affected pathways.

genomics↗

bioRxiv2021

SMURF2 phosphorylation at Thr249 modifies the stemness and tumorigenicity of glioma stem cells by regulating TGF-β receptor stability

Glioma stem cells (GSCs) contribute to the pathogenesis of glioblastoma, the most malignant form of glioma. The implication and underlying mechanisms of SMAD specific E3 ubiquitin protein ligase 2 (SMURF2) on the GSC phenotypes remain unknown. We previously demonstrated that SMURF2 phosphorylation at Thr249 (SMURF2Thr249) activates its E3 ubiquitin ligase activity. Here, we demonstrate that SMURF2Thr249 phosphorylation plays an essential role in maintaining GSC stemness and tumorigenicity. SMURF2 silencing augmented the self-renewal potential and tumorgenicity of patient-derived GSCs. The SMURF2Thr249 phosphorylation level was low in human glioblastoma pathology specimens. Introduction of the SMURF2T249A mutant resulted in increased stemness and tumorgenicity of GSCs, recapitulating the SMURF2 silencing. Moreover, the inactivation of SMURF2Thr249 phosphorylation increases TGF-{beta} receptor (TGFBR) protein stability. Indeed, TGFBR1 knockdown markedly counteracted the GSC phenotypes by SMURF2T249A mutant. These findings highlight the importance of SMURF2Thr249 phosphorylation in maintaining GSC phenotypes, thereby demonstrating a potential target for GSC-directed therapy.

cancer biology↗

bioRxiv2020

Expression of a gene for an MLX56 defense protein derived from mulberry latex confers strong resistance against a broad range of insect pests on transgenic tomato lines

Insect pests cause serious damage in crop production, and various attempts have been made to produce insect-resistance crops, including the expression of genes for proteins with anti-herbivory activity, such as BT toxins. However, the number of available genes with sufficient anti-herbivory activity is limited. MLX56 is an anti-herbivory protein isolated from the latex of mulberry plants, and has been shown to have a strong growth-suppressing activity against the larvae of a variety of lepidopteran species. As a model of herbivore-resistant plants, we produced transgenic tomato lines expressing the gene for MLX56. The transgenic tomato lines showed strong anti-herbivory activities against the larvae of the common cutworm, Spodoptera litura. Surprisingly, the transgenic tomato lines also exhibited strong activity against the attack of the western flower thrips, Frankliniera occidentalis. Further, growth of the hadda beetle, Henosepilachna vigintioctopunctata fed on leaves of transgenic tomato was significantly retarded. The levels of damage caused by both western flower thrips and hadda beetles were negligible in the high-MLX56-expressing tomato line. These results indicate that introduction of the gene for MLX56 into crops can enhance crop resistance against a wide range of pest insects, and that MLX56 can be utilized in developing pest-resistance GM crops.

bioengineering↗

bioRxiv2019

Efficient horizontal transmission without viral super-spreaders may cause the high prevalence of STLV-1 infection in Japanese macaques

AbstractsSimian T-cell leukemia virus type-1 (STLV-1) is disseminated among various non-human primate species and is closely related to human T-cell leukemia virus type-1 (HTLV-1), the causative agent of adult T-cell leukemia and HTLV-1-associated myelopathy/tropical spastic paraparesis. Notably, the prevalence of STLV-1 infection in Japanese macaques (JMs) is estimated to be much greater than that in other non-human primates; however, the mechanism and mode of STLV-1 transmission remain unknown. We hypothesized that a substantial proportion of infected macaques may play a critical role as viral super-spreaders for efficient inter-individual transmission leading to the high prevalence of infection. To address this, we examined a cohort of 280 JMs reared in a free-range facility for levels of anti-STLV-1 antibody titers (ABTs) and STLV-1 proviral loads (PVLs). We found that the prevalence of STLV-1 in the cohort reached up to 65% (180/280), however, the ABTs and PVLs were normally distributed with mean values of 4076 and 0.62%, respectively, which were comparable to those of HTLV-1-infected humans. Contrary to our expectations, we did not observe the macaques with abnormally high PVLs and poor ABTs, and therefore, the possibility of viral super-spreaders was unlikely. Results from further analyses regarding age-dependent changes in STLV-1 prevalence and a longitudinal follow-up of STLV-1 seroconversion strongly suggest that frequent horizontal transmission is a major route of STLV-1 infection, probably due to the unique social ecology of JMs associated with environmental adaptation.\n\nImportanceWe investigated the cause of the high prevalence of STLV-1 infection in the studied JMs cohort. Contrary to our expectations, the potential viral super-spreaders as shown by abnormally high PVLs and poor ABTs were not observed among the JMs. Rather, the ABTs and PVLs among the infected JMs were comparable to those of HTLV-1-infected humans although the prevalence of HTLV-1 in humans is much less than the macaques. Further analyses demonstrate that the prevalence drastically increased over one year of age and most of these animals over 6 years of age were infected with STLV-1, and that in the longitudinal follow-up study frequent seroconversion occurred in not only infants but also in juvenile and adult seronegative monkeys (around 20% per year). This is the first report showing that frequent horizontal transmission without viral super-spreaders may cause high prevalence of STLV-1 infection in JMs.

microbiology↗

bioRxiv2018

NAD consumption by PARP1 in response to DNA damage triggers metabolic shift critical for damaged cell survival

DNA damage signaling is critical for the maintenance of genome integrity and cell fate decision. Poly(ADP-ribose) polymerase 1 (PARP1) is a DNA damage sensor rapidly activated in a damage dose and complexity-dependent manner playing a critical role in the initial chromatin organization and DNA repair pathway choice at damage sites. However, the cell-wide consequence of its activation in damaged cells is not well delineated. Using the phasor approach to fluorescence lifetime imaging microscopy (FLIM) and fluorescence-based biosensors in combination with laser microirradiation, we found a rapid cell-wide increase of the bound/free NADH ratio in response to nuclear DNA damage, which is triggered by NAD+ depletion by PARP activation. This change is linked to the metabolic balance shift to oxidative phosphorylation (oxphos) over glycolysis. Inhibition of the respiratory chain resulted in rapid PARP-dependent ATP reduction and intracellular acidification, and eventually, PARP-dependent, AIF-independent, apoptosis indicating that oxphos becomes critical for damaged cell survival. The results reveal the novel pro-survival effect of PARP activation through a change in cellular metabolism, and demonstrate how unique applications of advanced fluorescence imaging technologies in combination with laser microirradiation can be a powerful tool to interrogate damage-induced metabolic changes at high spatiotemporal resolution in a live cell.

cell biology↗

bioRxiv2017

Single-molecule diffusion-based estimation of GPCR activity

G protein-coupled receptors (GPCRs) are major drug targets and have high potential for drug discovery. The development of a method for measuring the activities of GPCRs is essential for pharmacology and drug screening. However, it is difficult to measure the effects of a drug by monitoring the receptor on the cell surface, and changes in the concentrations of downstream signaling molecules, which depend on signaling pathway selectivity of the receptor, are used as an index of the receptor activity. Here, we show that single-molecule imaging analysis provides an alternative method for assessing ligand effects on GPCR. We monitored the dynamics of the diffusion of metabotropic glutamate receptor 3 (mGluR3), a class C GPCR, under various ligand conditions by using total internal reflection fluorescence microscopy (TIRFM). The single-molecule tracking analysis demonstrates that changes in the average diffusion coefficient of mGluR3 quantitatively reflect the ligand-dependent activity. Then, we reveal that the diffusion of receptor molecules is altered by the common physiological events associated with GPCRs, including G protein binding or accumulation in clathrin-coated pits, by inhibition experiments and dual-color single-molecule imaging analysis. We also confirm the generality of agonist-induced diffusion change in class A and B GPCRs, demonstrating that the diffusion coefficient is a good index for estimating the ligand effects on many GPCRs regardless of the phylogenetic groups, chemical properties of the ligands, and G protein-coupling selectivity.\n\nOne Sentence Summary: Single-molecule imaging for evaluating ligand effects on GPCRs by monitoring the diffusion dynamics on the cell surface.

biophysics↗