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Okumura, K.

Publications and source records attributed to Okumura, K..

17 recordsLinked to original sources

Developmental prefrontal myelination shapes inhibitory interneuron function and adult social behavior

Early-life adversity and abnormal myelination are implicated in psychiatric disorders, but how developmental myelination influences adult social cognition remains unclear. Here, we tested whether disrupting developmental myelination in the medial prefrontal cortex (mPFC) impairs adult social behavior. Using complementary genetic strategies in male mice, we suppressed Myelin Regulatory Factor (Myrf)-dependent myelination locally in the juvenile mPFC or broadly in oligodendrocyte-lineage cells. Both approaches selectively impaired adult social novelty preference while sparing sociability, locomotion, and affective behaviors. Focal prefrontal dysmyelination also reduced social dominance. Spatial transcriptomics revealed coupling between myelin-related genes and parvalbumin (PV) interneuron markers in the healthy mPFC, which was disrupted by developmental hypomyelination. Consistent with this transcriptional alteration, PV interneurons showed reduced high-frequency firing despite preserved intrinsic excitability. In the human prefrontal cortex, MBP-PV expression was correlated in controls but not in individuals with schizophrenia. These findings indicate that developmental prefrontal myelination contributes to PV interneuron maturation and suggest that disrupted oligodendrocyte-interneuron coordination may contribute to impaired social recognition.

neuroscience↗

Host innate immune response profiling reveals hidden viral infections across diverse animal species

Virus discovery using RNA-seq data from wildlife and livestock offers a powerful strategy for identifying unknown pathogens with pandemic potential. However, conventional approaches rely on homology-based searches that have limited sensitivity for highly divergent viruses, are computationally intensive at scale, and cannot distinguish true infections from contamination. Viral infection induces interferon-stimulated genes (ISGs), key components of the frontline antiviral defense, and their expression serves as a robust indicator of viral infection. Here, we developed a host-response-based virus discovery framework that rapidly quantifies ISG expression and predicts viral infection status. Applying this framework to [~]210,000 RNA-seq data sets from diverse mammalian and avian species, we identified hidden viral infections across diverse hosts, including those caused by highly divergent viruses missed by a conventional approach. Our framework complements existing virus discovery strategies by adding host innate immune response context and enabling computationally efficient prescreening for scalable viral surveillance. HighlightsO_LIHost response-based virus discovery in wildlife and livestock RNA-seq data C_LIO_LIQuantify interferon-stimulated gene (ISG) expression and predict viral infection C_LIO_LIAnalysis of [~]210,000 RNA-seq data sets reveals hidden viral infections C_LIO_LIDetects highly divergent viruses and scalable viral surveillance through rapid prescreening C_LI

microbiology↗

Diversity and stability of the gut microbiome of naked mole-rat (Heterocephalus glaber), the longest-lived rodent

The naked mole-rat is a subterranean rodent adapted to extreme hypoxia and low metabolic demands, with an exceptionally long lifespan relative to its small body size, while maintaining reproductive capacity. Using 16S rRNA gene sequencing of 24 samples and whole-metagenome sequencing of 11 samples from individuals up to 15 years of age, we characterized the gut microbiota and showed its complexity and distinctiveness compared with that of other rodents, including mice, squirrels, and rabbits. Although all animals were born and raised in a laboratory setting, the gut microbiota remained taxonomically stable across ages and retained key taxa previously reported in wild naked mole-rats (e.g., Treponema and Desulfovibrio). Metagenome-assembled genomes revealed the presence of archaeal methanogens and termite-gut-associated bacteria (e.g., Methanobacteria within Euryarchaeota and Avelusimicrobium within Elusimicrobiota), together with genes involved in hydrogen metabolism and archaeal methanogenesis. Compared with mice, the naked mole-rat gut microbiota was enriched in carbohydrate-active enzymes targeting plant cell-wall polysaccharides, resembling those found in ruminants. We also detected evidence of flagellates, ciliates, and fungi, which may further contribute to polysaccharide degradation and fermentation, potentially within the enlarged cecum. Together, this comprehensive analysis provides distinctive gut microbial features of the naked mole-rat that may be associated with the naked mole-rats low metabolic rate and exceptional longevity.

microbiology↗

Integrative modeling of seasonal influenza evolution via AI-powered antigenic cartography

Seasonal influenza viruses evade host immunity through rapid antigenic evolution. Antigenicity is assessed by serological assays and typically visualized as antigenic maps, which represent antigenic differences among virus strains. However, conventional maps cannot directly infer the antigenicity of unexamined variants from their genotypes. Here, we present PLANT, a protein language model that projects influenza A/H3N2 viruses onto an antigenic map using HA protein sequences. Using PLANT-based cartography, we show that (i) H3N2 antigenic evolution accelerates during periods of disrupted global circulation, (ii) antigenic novelty accounts for a substantial portion of viral fitness advantage, and (iii) vaccine strains are often antigenically distant from circulating viruses. We further propose a PLANT-based framework for selecting vaccine strains with improved antigenic match than the WHO-recommended strains. This study provides a statistical foundation for integrated modeling of viral genotype, antigenicity, and fitness, offering quantitative insights into seasonal influenza virus evolution and supporting rational vaccine design.

microbiology↗

The role of GATA2 in the expression of the soluble decoy receptor ST2/IL1RL1 in human and mouse mast cells

The ST2/IL1RL1 gene encodes a receptor subunit for IL-33. The ST2/IL1RL1 gene is transcribed and translated to two splice variants, full-length ST2 (ST2L) and soluble ST2 (sST2). ST2L is expressed on cell surface as membrane bound molecule and forms a heterodimer with IL-1RAcP, which plays an important role in Th2 transduces a signaling of IL-33. In contrast, sST2 blocks the IL-33-signaling via functioning as a decoy receptor of IL-33. In this study, we analyzed the regulatory mechanisms of the gene expression of sST2 in mast cell, the major source of sST2. We found that a hematopoietic cell-specific transcription factor GATA2 is essential for sST2 expression in human mast cells (a cell line and primary cells) and mouse mast cells. Various assays including ChIP assay, reporter assay, and 3C assay revealed that GATA2 binding to the distal promoter of the IL1RL1 gene transcriptionally activates proximal promoter-driven expression of sST2 through chromosomal conformation.

immunology↗

Evolution of BA.2.86 to JN.1 reveals functional changes in non-structural viral proteins are required for fitness of SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the coronavirus disease 2019 (COVID-19), is still circulating among humans, leading to the continuous evolution. SARS-CoV-2 Omicron JN.1 evolved from a distinct SARS-CoV-2 lineage, BA.2.86, spread rapidly worldwide. It is unclear why BA.2.86 did not become dominant and was quickly replaced by JN.1, which possesses one amino acid substitution in the spike protein (S:L455S) and two in the non-spike proteins NSP6 and ORF7b (NSP6:R252K and ORF7b:F19L) compared to BA.2.86. Here, we utilized recombinant viruses to elucidate the impact of these mutations on the virological characteristics of JN.1. We found that the mutation in the spike attenuated viral replication, but the non-spike mutations enhanced replication, suggesting the mutations in the non-spike proteins compensate for the one in the spike to improve viral fitness, as the mutations in the spike contribute to further immune evasion. Our findings suggest that functional changes in both the spike and non-spike proteins are necessary in the evolution of SARS-CoV-2 to enable evasion of adaptive immunity within the human population while sustaining replication. IMPORTANCEBecause the spike protein is strongly associated with certain virological properties of SARS-CoV-2, such as immune evasion and infectivity, most previous studies on SARS-CoV-2 variants have focused on spike protein mutations. However, the non-spike proteins also contribute to infectivity, as observed throughout the evolution of Omicron subvariants. In this study, we demonstrate a "trade-off" strategy in SARS-CoV-2 Omicron JN.1 in which the reduced infectivity caused by spike mutation is compensated by non-spike mutations. Our results provide insight into the evolutionary scenario of the emerging virus in the human population.

microbiology↗

Molecular evolution and diversity of isomerase-reductase operons involved in bacterial metabolism of glycosaminoglycans

Glycosaminoglycans (GAGs), comprising uronic acids and amino sugars, are widely distributed in human tissues such as the intestine and oral cavity. Various bacteria colonize these tissues by assimilating GAGs. 4-Deoxy-L-threo-5-hexosulose uronate (DHU) is produced during the degradation of GAGs. Pectin, abundant in plants, is also degraded into DHU. DHU is metabolized in a stepwise manner by the isomerase KduI or DhuI, followed by the reductase KduD or DhuD. Previous studies have shown that the two genes encoding isomerase and reductase (kduI-kduD and dhuD-dhuI, respectively) are designated in an operon. Therefore, it was believed that dhuD-dhuI and kduI-kduD operons evolved independently. Nevertheless, the discovery of a hybrid kduI-dhuD operon raised questions regarding the evolution of these operons. This study was conducted to investigate the factors driving the diversity of operons through a pan-genomic phylogenetic analysis across 3550 bacterial strains. Seven types of DHU metabolism-related operons were identified. The phylum Bacteroidota possesses a hybrid-type kduI-dhuD operon rather than kduI-kduD or kduD-kduI operon. The phylum Bacillota, but not Pseudomonadota or Bacteroidota, possesses the dhuD-dhuI operon; however, dhuI-dhuD operon was not detected in any bacterial strain. Although DHU is generated from the degradation of oligomerized GAG by an unsaturated glucuronyl hydrolase (UGL), the UGL gene was found in strains positive for kduD-kduI, dhuD-dhuI, kduI-dhuD, and dhuD-kduI operons at high ratios, indicating that the acquisition of these operons is advantageous for colonization on human hosts. (230 words) IMPORTANCEGlycosaminoglycans (GAGs), crucial components of the extracellular matrix, play a vital role in host infection by pathogenic bacteria as well as in the colonization of the host by commensal bacteria. The isomerases KduI and DhuI are nonhomologous isofunctional enzymes. The dhuD-dhuI operon is well conserved within certain phyla and appears to have a strong association with GAG metabolism. In contrast, the kduI system is more widely distributed across various species. Based on the possession ratios of genes encoding each enzyme that produces 4-deoxy-L-threo-5-hexosulose uronate, this study indicated that the substrates targeted by each metabolic system vary depending on the specific operon type.

microbiology↗

Virological characteristics of the SARS-CoV-2 XEC variant

The SARS-CoV-2 JN.1 variant (BA.2.86.1.1), arising from BA.2.86.1 with spike protein (S) substitution S:L455S, outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 (JN.1.11.1.2) and KP.3 (JN.1.11.1.3), which acquired additional S substitutions (e.g., S:R346T, S:F456L, and S:Q493E), have emerged concurrently. As of October 2024, KP.3.1.1 (JN.1.11.1.3.1.1), which acquired S:31del, outcompeted other JN.1 subvariants including KP.2 and KP.3 and is the most predominant SARS-CoV-2 variant in the world. Thereafter, XEC, a recombinant lineage of KS.1.1 (JN.13.1.1.1) and KP.3.3 (JN.1.11.1.3.3), was first identified in Germany on August 7, 2024. XEC acquired two S substitutions, S:T22N and S:F59S, compared with KP.3 through recombination, with a breakpoint at genomic position 21,738-22,599. We estimated the relative effective reproduction number (Re) of XEC using a Bayesian multinomial logistic model based on genome surveillance data from the USA, the United Kingdom, France, Canada, and Germany, where this variant has spread as of August 2024. In the USA, the Re of XEC is 1.13-fold higher than that of KP.3.1.1. Additionally, the other countries under investigation herein showed higher Re for XEC. These results suggest that XEC has the potential to outcompete the other major lineage including KP.3.1.1. We then assessed the virological properties of XEC using pseudoviruses. Pseudovirus infection assay showed that the infectivity of KP.3.1.1 and XEC was significantly higher than that of KP.3. Although S:T22N did not affect the infectivity of the pseudovirus based on KP.3, S:F59S significantly increased it. Neutralization assay was performed using three types of human sera: convalescent sera after breakthrough infection (BTI) with XBB.1.5 or KP.3.3, and convalescent sera after JN.1 infection. In all serum groups, XEC as well as KP.3.1.1 showed immune resistance when compared to KP.3 with statistically significant differences. In the cases of XBB.1.5 BTI sera and JN.1 infection sera, the 50% neutralization titers (NT50s) of XEC and KP.3.1.1 were comparable. However, we revealed that the NT50 of XEC was significantly (1.3-fold) lower than that of KP.3.1.1. Moreover, both S:T22N and S:F59S significantly (1.5-fold and 1.6-fold) increased the resistance to KP.3.3 BTI sera. Here we showed that XEC exhibited higher pseudovirus infectivity and higher immune evasion than KP.3. Particularly, XEC exhibited more robust immune resistance to KP.3.3 BTI sera than KP.3.1.1. Our data suggest that the higher Re of XEC than KP.3.1.1 is attributed to this property and XEC will be a predominant SARS-CoV-2 variant in the world in the near future.

microbiology↗

Virological characteristics of the SARS-CoV-2 KP.3.1.1 variant

The SARS-CoV-2 JN.1 variant (BA.2.86.1.1), arising from BA.2.86.1 with spike protein (S) substitution S:L455S, outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 (JN.1.11.1.2) and KP.3 (JN.1.11.1.3), which acquired additional S substitutions e.g., S:R346T, S:F456L, and S:Q493E, have emerged concurrently. Thereafter, JN.1 subvariants, such as LB.1 (JN.1.9.2.1), KP.2.3 (JN.1.11.1.2.3), and KP.3.1.1 (JN.1.11.1.3.1.1), which convergently acquired a deletion of Serine at the 31st position in S (S:S31del) in addition to the above substitutions, have emerged and spread as of June 2024. We recently reported the virological features of JN.1 subvariants including KP.2, KP.3, LB.1, and KP.2.3.2,3 Here, we investigated the virological properties of KP.3.1.1. First, we estimated the relative effective reproduction number (Re) of KP.3.1.1 using a Bayesian multinomial logistic model4 based on genome surveillance data from Spain, the USA, France, Canada, and the UK, where this variant has spread as of June 2024. In Spain, the Re of KP.3.1.1 is over 1.2-fold higher than that of JN.1 and even higher than those of KP.2, KP.3, LB.1, and KP.2.3. Additionally, the other countries under investigation herein show higher Re for KP.3.1.1. However, it must be noted there is the possibility of overestimation in these countries due to more limited KP.3.1.1 sequence numbers. These results suggest that KP.3.1.1 will spread worldwide along with other JN.1 sublineages. We then assessed the virological properties of KP.3.1.1 using pseudoviruses. The pseudovirus of KP.3.1.1 had significantly higher infectivity than that of KP.3. Neutralization of KP.3.1.1 was tested using i) convalescent sera after breakthrough infection (BTI) with XBB.1.5 or EG.5, ii) convalescent sera after the infection with HK.3 or JN.1, and iii) sera after monovalent XBB.1.5 vaccination. The 50% neutralization titer (NT50) against KP.3.1.1 was significantly lower than KP.3 (1.4-1.6-fold) in all four groups of convalescent sera tested. KP.3.1.1 also showed a 1.3-fold lower NT50 against XBB.1.5 vaccine sera than KP.3. Moreover, KP.3.1.1 showed stronger resistance with a 1.3-fold lower NT50 with statistical significances to the convalescent sera infected with EG.5 and HK.3 than KP.2.3. Altogether, KP.3.1.1 exhibited a higher Re, higher pseudovirus infectivity, and higher neutralization evasion than KP.3. These results align with our recent report that the JN.1 subvariants with S:S31del (e.g., KP.2.3 and LB.1) exhibited enhanced Re and immune evasion compared to the other JN.1 subvariants without S:S31del (e.g., JN.1, KP.2, and KP.3), highlighting the evolutionary significance of S:S31del in the JN.1 lineages.

microbiology↗

Virological characteristics of the SARS-CoV-2 KP.3, LB.1 and KP.2.3 variants

The SARS-CoV-2 JN.1 variant, arising from BA.2.86.1 with a substitution in the spike (S) protein, S:L455S, exhibited increased fitness and outcompeted the previously predominant XBB lineages by the beginning of 2024. Subsequently, JN.1 subvariants including KP.2 and KP.3, which convergently acquired S protein substitutions such as S:R346T, S:F456L, and S:Q493E, have emerged concurrently. Furthermore, JN.1 subvariants such as LB.1 and KP.2.3, which convergently acquired S:S31del in addition to the above substitutions, have emerged and spread as of June 2024. Here we investigated the virological properties of KP.3, LB.1 and KP.2.3. We estimated the relative effective reproduction number (Re) of KP.3, LB.1, and KP.2.3 using a Bayesian multinomial logistic model based on the genome surveillance data from Canada, the UK, and the USA, where these variants have spread from March to April 2024. The Re of KP.3 is more than 1.2-fold higher than that of JN.1 and higher than or comparable to that of KP.2 in these countries. Importantly, the Re values of LB.1 and KP.2.3 are even higher than those of KP.2 and KP.3. These results suggest that the three variants we investigated herein, particularly LB.1, and KP.2.3, will become major circulating variants worldwide in addition to KP.2 and KP.3. The pseudovirus infectivity of KP.2 and KP.3 was significantly lower than that of JN.1. On the other hand, the pseudovirus infectivity of LB.1 and KP.2.3 was comparable to that of JN.1. Neutralization assay was conducted by using four types of breakthrough infection (BTI) sera with XBB.1.5, EG.5, HK.3 and JN.1 infections as well as monovalent XBB.1.5 vaccine sera. In all four groups of BTI sera tested, the 50% neutralization titers (NT50) against LB.1 and KP.2.3 were significantly lower than those against JN.1 (2.2-3.3-fold and 2.0-2.9-fold) and even lower than those against KP.2 (1.6-1.9-fold and 1.4-1.7 fold). Although KP.3 exhibited neutralization resistance against all BTI sera tested than JN.1 (1.6-2.2-fold) with statistical significance, there were no significant differences between KP.3 and KP.2. In the case of infection-naive XBB.1.5 vaccine sera, the NT50 values of JN.1 subvariants were very low. In the case of XBB.1.5 vaccine sera after natural XBB infection, the NT50 values against KP.3, LB.1 and KP.2.3 were significantly lower than those of JN.1 (2.1-2.8-fold) and even lower than KP.2 after infection (1.4-2.0-fold). Overall, our results suggest that the S substitutions convergently acquired in the JN.1 subvariants contribute to immune evasion, and therefore, increase their Re when compared to parental JN.1. More importantly, LB.1 and KP.2.3 exhibited higher pseudovirus infectivity and more robust immune resistance than KP.2. These data suggest that S:S31del is critical to exhibit increased infectivity, increased immune evasion, and therefore, potentially contributes to increased Re.

microbiology↗

CENP-C-Mis12 complex establishes a regulatory loop through Aurora B for chromosome segregation

Establishing the correct kinetochore-microtubule attachment is crucial for faithful chromosome segregation. The kinetochore has various regulatory mechanisms for establishing correct bipolar attachment. However, how the regulations are coupled is not fully understood. Here, we demonstrate a regulatory loop between the kinetochore protein CENP-C and Aurora B kinase, which is critical for the error correction of kinetochore-microtubule attachment. This regulatory loop is mediated through the binding of CENP-C to the outer kinetochore Mis12 complex (Mis12C). Although the Mis12C binding region of CENP-C is dispensable for mouse development and proliferation in human RPE-1 cells, those cells lacking this region display increased mitotic defects. The CENP-C-Mis12C interaction facilitates the centromeric recruitment of Aurora B and the mitotic error correction in human cells. Given that Aurora B reinforces the CENP-C-Mis12C interaction, our findings reveal a positive regulatory loop between Aurora B recruitment and the CENP-C-Mis12C interaction, which ensures chromosome bi-orientation for accurate chromosome segregation.

cell biology↗

Virological characteristics of the SARS-CoV-2 KP.2 variant

The JN.1 variant (BA.2.86.1.1), arising from BA.2.86(.1) with the S:L455S substitution, exhibited increased fitness and outcompeted the previous dominant XBB lineage by the biggening of 2024. JN.1 subsequently diversified, leading to the emergence of descendants with spike (S) protein substitutions such as S:R346T and S:F456L. Particularly, the KP.2 (JN.1.11.1.2) variant, a descendant of JN.1 bearing both S:R346T and S:F456L, is rapidly spreading in multiple regions as of April 2024. Here, we investigated the virological properties of KP.2. KP.2 has three substitutions in the S protein including the two above and additional one substitution in non-S protein compared with JN.1. We estimated the relative effective reproduction number (Re) of KP.2 based on the genome surveillance data from the USA, United Kingdom, and Canada where >30 sequences of KP.2 has been reported, using a Bayesian multinomial logistic model. The Re of KP.2 is 1.22-, 1.32-, and 1.26-times higher than that of JN.1 in USA, United Kingdom, and Canada, respectively. These results suggest that KP.2 has higher viral fitness and potentially becomes the predominant lineage worldwide. Indeed, as of the beginning of April 2024, the estimated variant frequency of KP.2 has already reached 20% in United Kingdom. The pseudovirus assay showed that the infectivity of KP.2 is significantly (10.5-fold) lower than that of JN.1. We then performed a neutralization assay using monovalent XBB.1.5 vaccine sera and breakthrough infection (BTI) sera with XBB.1.5, EG.5, HK.3 and JN.1 infections. In all cases, the 50% neutralization titer (NT50) against KP.2 was significantly lower than that against JN.1. Particularly, KP.2 shows the most significant resistance to the sera of monovalent XBB.1.5 vaccinee without infection (3.1-fold) as well as those who with infection (1.8-fold). Altogether, these results suggest that the increased immune resistance ability of KP.2 partially contributes to the higher Re more than previous variants including JN.1.

microbiology↗

Virological characteristics of the SARS-CoV-2 JN.1 variant

The SARS-CoV-2 BA.2.86 lineage, first identified in August 2023, is phylogenetically distinct from the currently circulating SARS-CoV-2 Omicron XBB lineages, including EG.5.1 and HK.3. Comparing to XBB and BA.2, BA.2.86 carries more than 30 mutations in the spike (S) protein, indicating a high potential for immune evasion. BA.2.86 has evolved and its descendant, JN.1 (BA.2.86.1.1), emerged in late 2023. JN.1 harbors S:L455S and three mutations in non-S proteins. S:L455S is a hallmark mutation of JN.1: we have recently shown that HK.3 and other "FLip" variants carry S:L455F, which contributes to increased transmissibility and immune escape ability compared to the parental EG.5.1 variant. Here, we investigated the virological properties of JN.1.

microbiology↗

A high-sensitivity ELISA for detection of human FGF18 in culture supernatants from tumor cell lines

Fibroblast growth factor 18 (FGF18) is elevated in several human cancers, such as gastrointestinal and ovarian cancers, and stimulates the proliferation of tumor cells. This suggests that FGF18 may be a promising candidate biomarker in cancer patients. However, the lack of a high-sensitivity enzyme-linked immunosorbent assay (ELISA) does not permit testing of this possibility. In this study, we generated monoclonal antibodies against human FGF18 and developed a high-sensitivity ELISA to measure human FGF18 at concentrations as low as 10 pg/mL. Of the eight tumor cell lines investigated, we detected human FGF18 in culture supernatants from four tumor cell lines, including HeLa, OVCAR-3, BxPC-3, and SW620 cells, albeit the production levels were relatively low in the latter two cell lines. Moreover, the in-house ELISA could detect murine FGF18 in sera from mice overexpressing murine Fgf18 in hepatocytes, although the sensitivity in detecting murine FGF18 was relatively low. This FGF18 ELISA could be a valuable tool to validate FGF18 as a potential biomarker for cancer patients and to test the contribution of FGF18 for various disease models in vivo and in vitro.

cancer biology↗

Global changes in open reading frame dominance of RNAs during cancer initiation and progression

Cancer cells express unique RNA transcripts; however, the factors determining their translation have remained unclear. We recently developed open reading frame (ORF) dominance as a measure that correlates with coding potential of RNAs. Upon calculating the ORF dominance of cancer-specific transcripts across 24 human tumor types, 14 exhibited significantly higher ORF dominance in cancer than in normal tissues. In organoid-based mouse genetic models, ORF dominance increased with carcinogenesis. Gene ontology analysis revealed that gene sets with increased ORF dominance were associated with cell proliferation, while those with decreased ORF dominance were linked to DNA damage response. Translatome analyses demonstrated that elevated ORF dominance during carcinogenesis resulted in higher translation frequencies of ribosome-bound RNAs. As cancer progressed, ORF dominance showed that the boundary between coding and noncoding transcripts became blurred prior to distant metastasis, indicating decreased proliferative cell populations and increased generation of RNA isoforms that potentially translate neoantigens before the development of metastatic tumors. These findings suggest that cancer evolution leads to dynamic changes in ORF dominance, resulting in global translational alterations in transcriptomes.

cancer biology↗

Colocalization of IQGAP1 with DLC-1 and PLC-δ1; Its potential role in coronary spasm

Phospholipase C (PLC)-{delta}1, activated by p122RhoGTPase-activating protein (GAP)/deleted in liver cancer-1 (p122RhoGAP/DLC-1), contributes to the coronary spastic angina (CSA) pathogenesis. The present study aims to further investigate the p122RhoGAP/DLC-1 protein. We examined molecules assisting this protein and identified a scaffold protein--IQ motif-containing GTPase-activating protein 1 (IQGAP1). IQGAP1-C binds to the steroidogenic acute regulatory-related lipid transfer (START) domain of p122RhoGAP/DLC-1, and PLC-{delta}1 binds to IQGAP1-N, forming a complex. In fluorescence microscopy, small dots of PLC-{delta}1 created fine linear arrays like microtubules, and IQGAP1 and p122RhoGAP/DLC-1 were colocated in the cytoplasm with PLC-{delta}1. Ionomycin induced the raft recruitment of the PLC-{delta}1, IQGAP1, and p122RhoGAP/DLC-1 complex by translocation to the plasma membrane (PM), indicating the movement of this complex is along microtubules with the motor protein kinesin. Moreover, the IQGAP1 protein was elevated in skin fibroblasts obtained from patients with CSA, and it enhanced the PLC activity and peak intracellular calcium concentration in response to acetylcholine. IQGAP1, a novel stimulating protein, forms a complex with p122RhoGAP/DLC-1 and PLC-{delta}1 that moves along microtubules and enhances the PLC activity.

molecular biology↗

Genome-wide stability of the DNA replication program in single mammalian cells

Here, we report the establishment of a single-cell DNA replication sequencing method, scRepli-seq, which is a simple genome-wide methodology that measures copy number differences between replicated and unreplicated DNA. Using scRepli-seq, we demonstrate that replication domain organization is conserved among individual mouse embryonic stem cells (mESCs). Differentiated mESCs exhibited distinct replication profiles, which were conserved from cell to cell. Haplotype-resolved scRepli-seq revealed similar replication timing profiles of homologous autosomes, while the inactive X chromosome was clearly replicated later than its active counterpart. However, a small degree of cell-to-cell replication timing heterogeneity was present, and we discovered that developmentally regulated domains are a source of such variability, suggesting a link between cell-to-cell heterogeneity and developmental plasticity. Together, our results form a foundation for single-cell-level understanding of DNA replication regulation and provide insights into 3D genome organization.

genomics↗