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At least 19 recordsLinked to original sources
PubMed1977

Bacteriophage phiX174: gene A overlaps gene B.

The map position of several phiX174 mutations in the genes A and B was determined by marker rescue with DNA fragments produced by the restriction enzymes Hha I, HindII, Hae III, and Alu I. All the gene B mutants were found to be located within gene A. Genetic complementation and analysis of phage-specific protein synthesis show that, under restrictive conditions, nonsense mutants in gene A do not block the synthesis and activity of the B protein and nonsense mutants in gene B do not affect the gene A function. The map position of the COOH-terminal end of gene A was determined using an amber mutant that synthesizes slightly shortened A and A proteins. It is concluded from these experiments that gene A overlaps gene B completely (or almost completely) and that the overlap region can be translated in two ways with different reading frames: one frame for the synthesis of the A and A proteins and another for the synthesis of the B protein.

Coliphages↗
PubMed1977

[Overlapping genes: a priority].

Three British biologists have discovered that in the "bacteriophage phi X 174 genes D and E are translated from the same DNA sequence but in different reading frames." In 1973, the present author, on the basis of biological data and theoretical considerations, had foreseen existence of overlapping genes. The result of the British biologists confirms the hypothesis of P.-P. Grassé.

Base Sequence↗
PubMed1979

Binding of mammalian ribosomes to MS2 phage RNA reveals an overlapping gene encoding a lysis function.

The main binding site for mammalian ribosomes on the single-stranded RNA of bacteriophage MS2 is located nine tenths of the way through the coat protein gene. Translation initiated at an AUG triplet in the +1 frame yields a 75 amino acid polypeptide which terminates within the synthetase gene at a UAA codon, also in the +1 frame. Partial amino acid sequence analysis of the product synthesized in relatively large amounts by mammalian ribosomes confirms this assignment of the overlapping cistron. The same protein is made in an E. coli cell-free system, but only in very small amounts. Analysis of the translation products directed by RNA from op3, a UGA nonsense mutant of phage f2, identifies the overlapping cistron as a lysis gene. In this paper we show that the op3 mutation is a C yield U transition occurring in the second codon of the synthetase cistron, which explains the lowered production of phage replicase (as well as lack of lysis) upon op3 infection of nonpermissive cells. We discuss the properties of the overlapping gene in relation to its lysis function, recognition of the lysis initiator region by E. coli versus eucaryotic ribosomes and op3 as a ribosome binding site mutant for the f2 synthetase cistron.

Amino Acid Sequence↗
PubMed1992

Mechanism of post-segregational killing by the hok/sok system of plasmid R1. Sok antisense RNA regulates hok gene expression indirectly through the overlapping mok gene.

The hok/sok locus of plasmid R1, which mediates plasmid stabilization by killing of plasmid-free segregants, codes for two RNAs, Hok mRNA and Sok antisense RNA. Hok mRNA encodes the Hok killer protein of 52 amino acid residues. Expression of hok is regulated post-transcriptionally by Sok antisense RNA. Killing of plasmid-free daughter-cells by the hok/sok system is accomplished through differential decay of the Hok and Sok-RNAs: Hok mRNA is very stable while Sok-RNA decays rapidly, thus leading to derepression of Hok mRNA translation in plasmid-free segregants, ensuring a rapid and selective killing of these cells. Sok antisense RNA is complementary to the leader region of the Hok mRNA. However, the region of complementarity does not overlap with the hok Shine-Dalgarno sequence. Thus, Sok-RNA regulates hok translation indirectly by an as yet unknown mechanism. We show here that Sok antisense RNA regulates the translation of another reading frame located in the hok/sok locus. This new reading frame, which overlaps with almost the entire hok gene, was denoted mok (mediation of killing). Point-mutations that prevent mok translation through the hok translational initiation region abolish efficient expression of hok. Furthermore, these mutations abolish the Sok-RNA-mediated control of hok gene expression. Hence, the antisense-RNA-mediated regulation of the hok gene seems to occur via translational coupling between the hok and mok reading-frames.

Base Sequence↗
PubMed2025

Deciphering estrogen receptor alpha-driven transcription in human endometrial stromal cells via transcriptome, cistrome, and integration with chromatin landscape.

OBJECTIVE: To investigate estrogen receptor gene 1 (ESR1) and estrogen-driven transcription in human endometrial stromal cells. DESIGN: RNA sequencing (RNA-seq) and Cleavage Under Targets and Release Using Nuclease (Cut&Run) were performed on telomerase-immortalized human endometrial stromal cells with Clustered Regularly Interspaced Short Palindromic Repeats-mediated ESR1 activation. Hi-C-based chromatin architecture analysis (H3K27ac HiChIP) was conducted in primary endometrial stromal cells. SUBJECTS: Biopsies from two healthy, reproductive-aged volunteers with regular menstrual cycles and no history of gynecological malignancies. EXPOSURE: The ESR1-activated and control endometrial stromal cells were treated with estradiol (E2) or vehicle. Primary endometrial stromal cells were treated with vehicle or a decidualization cocktail. MAIN OUTCOME MEASURES: Differential gene expression analysis (RNA-seq) identified ligand-independent and -dependent ESR1 activity. Cut&Run profiled ESR1 genomic binding in ESR1-activated cells. H3K27ac HiChIP mapped hormone-induced changes in chromatin looping in primary cells. RESULTS: Among seven tested guide RNAs (gRNA), the ESR1-3 gRNA induced robust ESR1 activation and restored E2 responsiveness. Bulk RNA-seq revealed both ligand-dependent and -independent ESR1 transcriptional programs regulating inflammation, proliferation, and cancer-related pathways. Notably, 72% of differentially expressed genes overlapped with genes active in human endometrial tissue during the proliferative estrogen-dominant phase, supporting their physiological relevance. The Cut&Run-seq identified genome-wide ESR1 binding sites, with most binding sites located at distal regulatory elements. Integration of Cut&Run data with H3K27ac HiChIP chromatin loops linked distal ESR1 binding sites to gene promoters, including genes involved in decidualization (e.g., FOXO1) and endometrial cancer (e.g., ERRFI1, NRIP1, and EPAS1). Functional assays showed that ESR1 promotes cell viability and, in the presence of E2, enhances migration. CONCLUSION: The CRISPR-mediated ESR1 activation restores estrogen responsiveness in endometrial stromal cells. Combined transcriptomic, cistromic, and chromatin architecture analyses reveal ESR1's role in regulating decidualization and inflammation-related gene networks, with relevance to endometrial pathologies including endometrial cancer. This model serves as a powerful tool to study estrogen signaling in endometrial stromal cell biology and related pathologies.

Humans↗
PubMed2026

Comparative in silico analysis of Apis mellifera immune responses to Varroa destructor and Tropilaelaps mercedesae: Common and mite-specific molecular signatures.

Parasitic mites Varroa destructor and Tropilaelaps mercedesae represent major threats to global honey bee (Apis mellifera) health and productivity, yet comparative molecular insights into host responses remain limited. To address this, we systematically compiled published studies (2015-2025) reporting genes associated with honey bee interactions with V. destructor (11 studies, 87 genes), T. mercedesae (4 studies, 35 genes), and hygienic behavior (6 studies, 44 genes). Gene identifiers were harmonized to the Amel_HAv3.1 genome assembly, yielding three non-redundant sets: 64 Varroa-associated, 34 Tropilaelaps-associated, and 44 hygienic behavior-associated genes. Venn analysis identified 10 overlapping genes (including A0A088A8D5, A0A088ADL8, ABAE_APIME, Def1, Def2, Gapdh, HYTA_APIME, Imd, LOC726783, and Vg), suggesting conserved defense mechanisms, while 41 and 24 genes were uniquely associated with Varroa and Tropilaelaps, respectively. Enrichment analyses revealed Varroa-responsive genes were enriched in immune processes, chitin catabolism, and signaling pathways (Toll/Imd, MAPK, Wnt). Tropilaelaps-associated genes were enriched for antibacterial defense and stress response, with Toll/Imd signaling as the sole significantly enriched pathway. Overlapping genes reinforced core innate immunity activation. Protein-protein interaction network centrality analysis identified key hub genes: Def1, HYTA_APIME, ABAE_APIME, PPO, Imd, PGRP-LC, Vg for Varroa; and ACPH1_APIME, MRJP1, Vg, LOC726783 for Tropilaelaps. Results demonstrate that, despite differences in mite biology, honey bees show a conserved immune response against both parasites, centered on antibacterial defense, humoral immunity, and activation of the Toll/Imd pathway. Although limited by the in-silico nature and research asymmetries reflecting Tropilaelaps' emergence, this curated resource establishes a comprehensive framework for elucidating shared and distinct molecular defense mechanisms. Ultimately, this approach prioritizes diagnostic markers and candidate genes for functional validation and breeding strategies to enhance colony resilience against mite‑driven disease globally.

Animals↗
PubMed2024

Biomarkers related to m6A and succinic acid metabolism in papillary thyroid carcinoma.

BACKGROUND: Studies have shown that m6A modification is related to the occurrence and development of papillary thyroid carcinoma (PTC). The disorder of succinic acid metabolism is associated with the occurrence and development of various tumors. However, there are few studies based on m6A and succinate metabolism-related genes (SMRGs) in PTC. METHODS: The TCGA-Thyroid carcinoma (THCA), GSE33630, 1159 SMRGs, and 23 m6A regulatory factors were collected from the online databases. Subsequently, the differentially expressed genes (DEGs) were selected between PTC (Tumor) and Normal samples. The overlapping genes among the DEGs, m6A, and SMRGs were applied to screen the biomarkers. Using the 3 machine-learning algorithms, the biomarkers were determined based on the overlapping genes. Next, the biomarkers were evaluated by the ROC curve and expression analysis in TCGA-THCA and GSE33630. Then, the overall survival (OS) differences were compared between the high-and low-expression biomarkers. Finally, immune infiltration analysis, molecular regulatory network, and drug prediction were performed based on the biomarkers. RESULTS: In TCGA-THCA, there were 2800 DEGs between and Normal samples, and then 7 overlapping genes were obtained. Importantly, ADK, TNFRSF10B, CYP7B1, FGFR2, and CPQ were determined as biomarkers with excellent diagnostic efficiency (AUC > 0.7). In PTC samples, ADK and TNFRSF10B were high-expressed while CYP7B1, FGFR2, and CPQ were low-expressed. Especially, the high-expression groups of ADK had a better prognosis, while the high-expression groups of CYP7B1, FGFR2, and CPQ had a worse prognosis. Afterward, immune infiltration analysis found that 16 immune cells had infiltration differences between the Tumor and Normal samples. Finally, transcription factor SP1 could regulate CYP7B1 and TNFRSF10B. Moreover, Navitoclax was a potential drug for PTC patients. CONCLUSION: Overall, we described 5 biomarkers associated with adverse prognosis of PTC, including ADK, TNFRSF10B, CYP7B1, FGFR2, and CPQ. All these biomarkers were involved in succinate metabolism and m6A modification of RNA. This set of biomarkers should be explored further for their diagnostic value in PTC. Investigations into the mechanistic role of alteration of succinate metabolism and m6A modification of RNA pathways in the pathophysiology of PTC are warranted.

Humans↗
PubMed1992

Organization and ordered expression of Caulobacter genes encoding flagellar basal body rod and ring proteins.

The biogenesis of the polar flagellum in Caulobacter crescentus is limited to a specific time in the cell cycle and to a specific site on the cell. The basal body is the first part of the flagellum to be assembled. In this report we identify a cluster of genes encoding basal body components and describe their transcriptional regulation. The genes in this cluster form an operon whose expression is controlled temporally. The first two genes encode homologs of FlgF and FlgG, which are the proximal and distal rod proteins, respectively. The sequences of the N and C termini of the Salmonella typhimurium flagellar axial proteins, rod, hook and HAP-1, known to be highly conserved, share a high degree of sequence identity with the FlgF and FlgG rod proteins of the distantly related, C. crescentus. Two additional genes in the flgF, flgG operon, flaD and flgH, both encode proteins with potentially cleavable signal sequences. The flgH gene, encoding the L-ring protein, is also transcribed from an internal promoter. Transcription from the flgF promoter initiates prior to initiation at the internal flgH promoter. The internal promoter and its activator site reside within the C-terminal coding sequence of the upstream flaD gene. This type of gene overlap is also observed in bacterial genes involved in cell division. Flagellum biogenesis, like cell division, is a morphogenic event that requires the orderly assembly of component proteins and the overlapping gene organization may affect this "ordering" of assembly. The promoters for the flgF operon and the flgH gene use sigma 54 to initiate transcription. The use of sigma 54 promoters, known to require cognate binding proteins, could allow the fine-tuning that provides the temporal ordering of flagellar gene transcription. In this context, we have found that the flgF operon and the distal flgI gene encoding the P-ring, share a sigma 54 activator sequence (class IIA) that differs from the flgH L-ring gene sigma 54 activator site (class IIB) and the hook cluster (class IIC) sigma 54 activator site. The sequential activation of these three subgroups of structural genes reflects the order of assembly of their gene products into the flagellum.

Amino Acid Sequence↗
PubMed1978

Nucleotide sequence of the J gene and surrounding untranslated regions of phage G4 DNA: comparison with phage phiX174.

A 290 nucleotide long region of the bacteriophage G4 genome including the end of the overlapping genes D and E, the entire gene J and the untranslated region between genes J and F has been sequenced and compared with the same region in bacteriophage phiX174. Deletions, insertions, duplications and single base changes in G4 relative to phiX174 have resulted in the following changes: the loss of the phiX174 overlapping gene Dtermination and gene J initiation codons, resulting in their separation by 32 untranslated nucleotides; the deletion of one third of the gene J coding region, so that the G4 protein is only 24 amino acids long compared with 37 amino acids in phiX174; and the establishment of a long untranslated region between G4 genes J and F, which despite many nucleotide changes retains the ability to form a stable hairpin loop in the same place and with the same geometry as in phiX174. The G4 overlapping gene E is longer than in phiX174 and extends beyond gene D. Sixteen nucleotides at the end of genes D and E in phiX174 are duplicated in G4 before gene J.

Base Sequence↗