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11 recordsLinked to original sources

Metabolism pathway-based subtyping in pancreatic adenocarcinoma: an integrated study by bulk RNA-sequence and machine learning algorithms.

BACKGROUND: Pancreatic adenocarcinoma (PAAD) is highly aggressive, and its tumor microenvironment has significant metabolic and immune microenvironment complexity and genomic instability. In this study, by integrating the metabolic pathway activity score and clinical data, we constructed a novel risk assessment model to reveal the unique biological behavior and clinical significance behind different PAAD subtypes. METHODS: In this study, the transcriptome and clinical data of TCGA and GSE57495 databases were integrated to explore the interaction between metabolic pathways. Based on unsupervised clustering analysis of pathway activity and survival prognosis, patients with PAAD were classified into metabolic subtypes with significant prognostic differences. Subsequently, we assessed the heterogeneity of these subtypes in terms of clinical outcomes, genomic characteristics, and immune microenvironment composition. Based on the differentially expressed genes (DEGs) among metabolic subtypes, a clinical prognostic risk model and nomogram were constructed, which were double-validated by GSE57495-independent cohort and GSE57495 + TCGA-PAAD combined cohort. Finally, the correlations between risk scores (RSs) and signaling pathway activity and tumor immune microenvironment characteristics were evaluated. RESULTS: Based on metabolic pathway correlation and prognostic information, 240 patients in the TCGA-PAAD and GSE57495 datasets were divided into three subgroups. There were significant differences between subgroups in gene expression, pathway activity, clinical prognosis, and immune infiltration characteristics among the subtypes. Using machine learning algorithms, an RS model was constructed from DEGs among the subgroups, with the random forest method showing the best performance. A nomogram integrating the RS and clinical indicators demonstrated excellent predictive accuracy for 1-, 3-, and 5-year survival rates, confirming the RS as an independent prognostic factor. High- and low-risk groups exhibited significant differences in immune infiltration, pathway activity, and gene mutations. Drug sensitivity analysis showed that the high-risk group was more sensitive to AZD6244, ABT737, and other drugs. CONCLUSION: This study stratified patients with PAAD into three subgroups based on metabolic pathways and prognostic information, revealing significant differences in clinical outcomes, immune characteristics, and genetic mutations. The robust RS model developed from these findings demonstrated strong predictive power for patient survival and identified promising therapeutic strategies, providing valuable insights for advancing precision medicine in PAAD.

immune microenvironment↗

Analysis of nuclear proteins in primary spermatocytes of Drosophila hydei: The correlation of nuclear proteins with the function of the Y chromosomal loops.

The protein content of spermatocyte nuclei from X/Y males and mutants of D. hydei which lack different Y chromosomal loop forming sites, was compared with that of X/0 males in 14C/3H double labelling experiments. Proteins of 45,000, 52,000, 54,000, 66,000, 80,000, 84,000 and 170,000 Dalton are found to be enriched in nuclei containing two or more active Y chromosomal loop forming sites. These proteins are also present in the nuclei of X0 males. In the complete absence of the Y-chromosomal loops proteins of 35,000, 46,000, 58,000 and 110,000 Dalton become enriched in the spermatocyte nuclei. - Analysis of the nuclear RNP of spermatocytes led to the isolation of an hnRNP-containing fraction with an S-value of greater than 900S (RNP-PP), - In the RNP-PP of XY males labelled protein material associated with hnRNA is enriched by a factor of approximately 3 in respect to the X0 genotype. The nuclear RNP has a heterogenous buoyant density in CsCl of rho = 1.33 to 1.43 g/cm3. RNase T1 treatment of the crude nuclear RNP from XY males prior to sucrose gradient analysis shows that the 66,000 Dalton protein which is also strongly enriched in the nuclei in the presence of active Y chromosomal loop forming sites, is the main protein associated with protected RNA-sequences of 80-120- 300 nucleotides in length. Competitive nitrocellulose filter binding assays reveal that the 66,000 Dalton protein predominantly forms in 2 M NaCl stable RNA/protein complexes with the poly A+hnRNA of the RNP-PP. Those RNP complexes have a buoyant density of rho = 1.43 g/cm3 in CsCl. The results are discussed in relation to the nuclear structure and the function of the Y chromosomal loops during spermatogenesis in Drosophila hydei.

Animals↗

Hepatitis B Virus-KMT2B Integration Drives Hepatic Oncogenic Processes in a Human Gene-edited Induced Pluripotent Stem Cells-derived Model.

BACKGROUND & AIMS: Hepatitis B virus (HBV)-DNA integration into the host genome contributes to hepatocellular carcinoma (HCC) development. KMT2B is the second most frequent locus of HBV-DNA integration in HCC; however, its role and function remain unclear. We aimed to clarify the impact of HBV-KMT2B integration in HCC development using a human genome-edited induced pluripotent stem cell (iPSCs) model. METHODS: Based on the genetic information on HBV-KMT2B integration in HCC, we determined its complete DNA sequence and transcript variants. To exclude the effect of other oncogenic mutations, we reproduced HBV integration in healthy donor iPSCs with an intact genome and analyzed its effects using iPSC-derived hepatic progenitor cells (HPCs) and hepatocytes (iPS-Heps). RESULTS: The reproduced HBV-KMT2B integration significantly upregulated the proliferation of hepatic cells. Comprehensive transcriptional and epigenetic analyses revealed enhanced expression of cell cycle-related genes in hepatic cells with HBV-KMT2B integration based on perturbation of histone 3 lysine 4 tri-methylation (H3K4me3), mimicking that in the original HCC sample. Long-read RNA-sequence detected the common KMT2B transcript variants in the HCC sample and HPCs. Overexpression of the truncated variant significantly enhanced proliferation of hepatic cells, whereas HBV-KMT2B fusion transcripts did not enhance proliferation. HBV-KMT2B-integrated HPCs exhibited replication stress and DNA damage, indicating that our model initiated the process of hepatocarcinogenesis due to abnormally promoted KMT2B function. CONCLUSIONS: Our disease model using genetically engineered iPSCs provides the first insight into both the KMT2B function in HCC development and the oncogenic processes by HBV-KMT2B integration. We clarified the novel oncogenic mechanism in HBV-related HCC due to aberrant KMT2B function.

Humans↗

Dissecting FMR1, the protein responsible for fragile X syndrome, in its structural and functional domains.

FMR1 is an RNA-binding protein that is either absent or mutated in patients affected by the fragile X syndrome, the most common inherited cause of mental retardation in humans. Sequence analysis of the FMR1 protein has suggested that RNA binding is related to the presence of two K-homologous (KH) modules and an RGG box. However, no attempt has been so far made to map the RNA-binding sites along the protein sequence and to identify possible differential RNA-sequence specificity. In the present article, we describe work done to dissect FMR1 into regions with structurally and functionally distinct properties. A semirational approach was followed to identify four regions: an N-terminal stretch of 200 amino acids, the two KH regions, and a C-terminal stretch. Each region was produced as a recombinant protein, purified, and probed for its state of folding by spectroscopical techniques. Circular dichroism and NMR spectra of the N-terminus show formation of secondary structure with a strong tendency to aggregate. Of the two homologous KH motifs, only the first one is folded whereas the second remains unfolded even when it is extended both N- and C-terminally. The C-terminus is, as expected from its amino acid composition, nonglobular. Binding assays were then performed using the 4-nt homopolymers. Our results show that only the first KH domain but not the second binds to RNA, and provide the first direct evidence for RNA binding of both the N-terminal and the C-terminal regions. RNA binding for the N-terminus could not be predicted from sequence analysis because no known RNA-binding motif is identifiable in this region. Different sequence specificity was observed for the fragments: both the N-terminus of the protein and KH1 bind preferentially to poly-(rG). The C-terminal region, which contains the RGG box, is nonspecific, as it recognizes the bases with comparable affinity. We therefore conclude that FMR1 is a protein with multiple sites of interaction with RNA: sequence specificity is most likely achieved by the whole block that comprises the first approximately 400 residues, whereas the C-terminus provides a nonspecific binding surface.

Amino Acid Sequence↗

An alpha-D-configured bicyclic nucleoside restricted in an E-type conformation: synthesis and parallel RNA recognition.

An alpha-D-arabino configured bicyclic nucleoside strongly restricted in an E-type conformation by a 2'-3'-fused oxetane ring is synthesized. Several synthetic strategies toward the target compound are described, and the successful preparation from a D-xylose derivative is based on a ruthenium-mediated cleavage of a double bond, an S(N)2-inversion at the 2-position to give an arabino-configuration, nucleobase coupling, and finally ring closure to give the oxetane ring. The E-type conformation is confirmed by molecular modeling and NMR. The nucleoside is incorporated into short alpha-DNA sequences. In a mixed pyrimidine context, these recognize complementary parallel RNA-sequences with mainly increased affinity and complementary parallel DNA-sequences with decreased affinity. The present bicyclic analogue represents the first conformationally restricted alpha-DNA-analogue to improve nucleic acid recognition in mixmers with alpha-DNA monomers.

Molecular Structure↗

Genome-wide non-mendelian inheritance of extra-genomic information in Arabidopsis.

A fundamental tenet of classical mendelian genetics is that allelic information is stably inherited from one generation to the next, resulting in predictable segregation patterns of differing alleles. Although several exceptions to this principle are known, all represent specialized cases that are mechanistically restricted to either a limited set of specific genes (for example mating type conversion in yeast) or specific types of alleles (for example alleles containing transposons or repeated sequences). Here we show that Arabidopsis plants homozygous for recessive mutant alleles of the organ fusion gene HOTHEAD (HTH) can inherit allele-specific DNA sequence information that was not present in the chromosomal genome of their parents but was present in previous generations. This previously undescribed process is shown to occur at all DNA sequence polymorphisms examined and therefore seems to be a general mechanism for extra-genomic inheritance of DNA sequence information. We postulate that these genetic restoration events are the result of a template-directed process that makes use of an ancestral RNA-sequence cache.

Alleles↗

Plant genetics: hothead healer and extragenomic information.

Lolle et al. suggest that non-mendelian inheritance in Arabidopsis thaliana might be attributable to an ancestral RNA-sequence cache, whereby the RNA genome of previous generations causes a high rate of reversion of the plant's mutant hothead (hth) and erecta (er) genes. Here I describe a 'distributed genome' model that also explains their results, in which mutant hth DNA is restored by homologous sequences present in the genome itself. This model has implications for the generation of diversity without mating.

Alleles↗

A comparative method for finding and folding RNA secondary structures within protein-coding regions.

Existing computational methods for RNA secondary-structure prediction tacitly assume RNA to only encode functional RNA structures. However, experimental studies have revealed that some RNA sequences, e.g. compact viral genomes, can simultaneously encode functional RNA structures as well as proteins, and evidence is accumulating that this phenomenon may also be found in Eukaryotes. We here present the first comparative method, called RNA-DECODER, which explicitly takes the known protein-coding context of an RNA-sequence alignment into account in order to predict evolutionarily conserved secondary-structure elements, which may span both coding and non-coding regions. RNA-DECODER employs a stochastic context-free grammar together with a set of carefully devised phylogenetic substitution-models, which can disentangle and evaluate the different kinds of overlapping evolutionary constraints which arise. We show that RNA-DECODER's parameters can be automatically trained to successfully fold known secondary structures within the HCV genome. We scan the genomes of HCV and polio virus for conserved secondary-structure elements, and analyze performance as a function of available evolutionary information. On known secondary structures, RNA-DECODER shows a sensitivity similar to the programs MFOLD, PFOLD and RNAALIFOLD. When scanning the entire genomes of HCV and polio virus for structure elements, RNA-DECODER's results indicate a markedly higher specificity than MFOLD, PFOLD and RNAALIFOLD.

Codon↗

[Hybridization in situ. A new technic for the demonstration of viruses and gene products in histologic and cytologic specimens].

The use of in situ hybridization for light-microscopic demonstration of specific DNA or RNA-sequences is illustrated with examples. This method is useful for demonstration of viruses and gene products (mRNA) in individual cells in tissue sections or in cells in suspension. In situ hybridization technology is particularly useful in diagnostic pathology as an adjunct to the conventional methods for infectious diseases. In addition, the method is a powerful tool for analysing the interaction between viral infection and the induction and maintenance of certain human neoplasms. We discuss various aspects of tissue handling, fixation, hybridization procedures and detection of the hybridization signal. We also stress the importance of close cooperation between laboratories in the field of gene technology.

DNA, Viral↗

Synergistic enhancement of both initiation and elongation by acidic transcription activation domains.

The effects of activation domain synergy on transcription initiation and elongation have been examined utilizing a system that permits the targeting of a defined number of activation modules to promoter DNA. As predicted, incremental increases in targeted activation potential were found to result in corresponding increases in transcription initiation. Surprisingly, however, transcriptional processivity, and hence mRNA synthesis, required a threshold level of activation domain synergy that exceeded the level required for at least modest levels of transcription initiation. The degree to which transcriptional processivity was enhanced was shown to depend on the quantity of activation modules targeted to the promoter DNA, rather than the quality. While the RNA-sequence specific HIV-1 Tat trans-activator was also shown to enhance processivity in this assay system, Tat differed from DNA-sequence specific activation domains in exerting a more dramatic effect on the efficiency of transcript elongation.

Animals↗

Methodologies for Mitochondrial Omic Profiling During Spaceflight.

To be able to understand how spaceflight can affect human biology, there is a need for maximizing the amount of information that can be obtained from experiments flown to space. Recently there has been an influx of data obtained from astronauts through multi-omics approaches based on both governmental and commercial spaceflight missions. In addition to data from humans, mitochondrial specific data is gathered for other experiments from rodents and other organisms that are flown in space. This data has started to universally demonstrate that mitochondrial dysfunction is the key regulator associated with increasing health risks associated with spaceflight. This mitochondrial dysfunction can have influence downstream on immune suppression, inflammation, circadian rhythm issues, and more. Due to the space environment, standard methodologies have to be altered for performing mitochondrial specific analysis and in general sample collection for omics. To perform mitochondrial specific analysis and data collection from samples flown to space we will outline the current sample collection methods, processing of the samples, and specific analysis. Specifically we will highlight the different mitochondrial methodologies and challenges involved with research associated with spaceflight.

Space Flight↗