Unusual activation pathways of amines in the reactions with molybdenum pentachloride

The 1-:-1 molar reactions at room temperature of MoCl5 with aliphatic amines were investigated in dichloromethane. Pyrrolidine, diethylamine and dibenzylamine underwent dehydrogenative oxidation when allowed to react with MoCl5; the compounds [MoCl5NCH(CH2)3], 1, and [CH3CHNHEt][MoOCl4], 2, were isolated in moderate to low yields from MoCl5/pyrrolidine and MoCl5/NHEt2, respectively. The chloride-amide complex [MoCl4(NEt2)], 3, was afforded in 65% yield from MoCl5 and Et2NSiMe3. The interaction of MoCl5 with Me2NSiMe3 was accompanied by activation of the solvent, and the complexes [MoCl3(NMe2)(κ2-Me2NCH2NMe2)], 4a, and [MoCl3(NMe)(κ2-Me2NCH2NMe2)], 4b, co-crystallized from the reaction mixture. The reactions of MoCl5 with a series of primary amines afforded mixtures of products, and the Mo(vi) chloride imido complexes [MoCl4(NR)]2 (R = Cy, 5a; tBu, 5b) were isolated in ca. 40% yield from MoCl5/NH2R (R = Cy, tBu). C-H bond activation may be viable in the reactions of MoCl5 with tertiary amines: the compounds [(CH2Ph)2NCHPh]2[MoCl6]·CH2Cl2, 6, and [NHEt3]2[Mo2Cl10], 7, were obtained from MoCl5/tribenzylamine and MoCl5/triethylamine, respectively. Pyrrolidine and tribenzylamine underwent analogous activation pathways when allowed to react with [MoCl3OCH(CF3)2]2 in the place of MoCl5. The isolated metal products were characterized by analytical and spectroscopic techniques, in addition the structures of 1, 2, 4, 5a, 6·CH2Cl2 and 7 were ascertained by single crystal X-ray diffraction studies. The organic products were identified by NMR and GC-MS after hydrolysis of the reaction mixtures. DFT calculations were carried out in order to assist the IR assignments, and clarify structural and mechanistic aspects

Phytotoxic halimanes isolated from Baccharis salicifolia (Ruiz & Pad.) Pers.

From the EtOH extract of the medicinal native plant, Baccharis salicifolia, two novel halimane-type diterpenoids, salicifolic acid (1) and 5-hydroxy-6-hydro-salicifolic acid (2) together with the known compounds sakuranetin (3), apigenin (4) and scopoletin (5) were bioguided isolated against Panicum miliaceum (monocotyledonous). The structures of 1 and 2 were established by extensive spectroscopic analyses. The effective concentration for 50% inhibition of germination (ECg 50) and the root (ECr 50) and shoot (ECs 50) elongations was determined for 1-5 against P. miliaceum and Raphanus sativus (dicotyledonous). Compound 2 was the most active in the inhibition of germination of P. miliaceum (ECg 50 = 1 mM), followed by 1, 5 and 3, although 1 was the most effective in regulating the growth of P. miliaceum seedlings, with a ECr 50 and ECs 50 values of 1.8 and 6.6 mM, respectively. Compounds 1 and 3 were the only samples capable of inhibiting the germination of R. sativus, while seedling development was affected by 1, 2, and 3 with different effectiveness.Fil: del Corral, Soledad. Universidad Católica de Córdoba. Facultad de Ciencias Químicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cuffini, Silvia Lucia. Universidade Federal de Santa Catarina; Brasil. Provincia de Córdoba. Ministerio de Ciencia y Técnica. Centro de Excelencia en Productos y Procesos de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cardoso, Simone G.. Universidade Federal de Santa Catarina; BrasilFil: Bortoluzzi, Adailton J.. Universidade Federal de Santa Catarina; BrasilFil: Palacios, Sara Maria. Universidad Católica de Córdoba. Facultad de Ciencias Químicas; Argentina. Universidad Católica de Córdoba. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sanchez Labrador S. J. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sanchez Labrador S. J.; Argentin

Novel insights into the management of rheumatoid arthritis: one year in review 2022

New evidence for the treatment of rheumatoid arthritis (RA) has emerged during the last year. Specifically, updated guidelines on pharmacological and non-pharmacological management of RA have emphasised the necessity of global patient's care, and have shifted the role of some older drugs, such as glucocorticoids and methotrexate. In addition, the long-term safety of Janus kinase inhibitors was investigated and reinforced. With respect to the coronavirus-19 pandemic, reassuring data on the efficacy and safety of vaccinations in the RA population were acquired, as well as on the potential role of telemedicine in RA management. Machine learning prediction models and biomarkers development have emerged as promising innovations in the area of precision/personalised medicine, appearing to encourage future expansion.In this narrative review, the authors aim to give their specific point of view on the most relevant and potentially impacting novelties published during 2021 and early 2022 in the context of RA management

CircRNAs are here to stay: A perspective on the MLL recombinome

Chromosomal translocations harbored by cancer genomes are important oncogenic drivers. In MLL rearranged acute leukemia (MLLre) MLL/KMT2A fuses with over 90 partner genes. Mechanistic studies provided clues of MLL fusion protein leukemogenic potential, but models failed to fully recapitulate the disease. Recently, expression of oncogenic fusion circular RNAs (f-circ) by MLL-AF9 fusion was proven. This discovery, together with emerging data on the importance and diversity of circRNAs formed the incentive to study the circRNAs of the MLL recombinome. Through interactions with other RNAs, such as microRNAs, and with proteins, circRNAs regulate cellular processes also related to cancer development. CircRNAs can translate into functional peptides too. MLL and most of the 90 MLL translocation partners do express circRNAs and exploration of our RNA-seq dataset of sorted blood cell populations provided new data on alternative circular isoform generation and expression variability of circRNAs of the MLL recombinome. Further, we provided evidence that rearrangements of MLL and three of the main translocation partner genes can impact circRNA expression, supported also by preliminary observations in leukemic cells. The emerging picture underpins the view that circRNAs are worthwhile to be considered when studying MLLre leukemias and provides a new perspective on the impact of chromosomal translocations in cancer cells at large

Charging of free-falling test masses in orbit due to cosmic rays: results from LISA Pathfinder

A comprehensive summary of the measurements made to characterize test-mass charging due to the space environment during the LISA Pathfinder mission is presented. Measurements of the residual charge of the test mass after release by the grabbing and positioning mechanism show that the initial charge of the test masses was negative after all releases, leaving the test mass with a potential in the range from - 12 to - 512 . Variations in the neutral test-mass charging rate between 21.7 and 30.7 ¿ ¿ e ¿ s - 1 were observed over the course of the 17-month science operations produced by cosmic ray flux changes including a Forbush decrease associated with a small solar energetic particle event. A dependence of the cosmic ray charging rate on the test-mass potential between - 30.2 and - 40.3 ¿ ¿ e ¿ s - 1 ¿ V - 1 was observed resulting in an equilibrium test-mass potential between 670 and 960 mV, and this is attributed to a contribution to charging from low-energy electrons emitted from the gold surfaces of the gravitational reference sensor. Data from the onboard particle detector show a reliable correlation with the charging rate and with other environmental monitors of the cosmic ray flux. This correlation is exploited to extrapolate test-mass charging rates to a 20-year period giving useful insight into the expected range of charging rate that may be observed in the LISA mission.Peer ReviewedPostprint (published version

Transient acceleration events in LISA Pathfinder data: properties and possible physical origin

We present an in depth analysis of the transient events, or glitches, detected at a rate of about one per day in the differential acceleration data of LISA Pathfinder. We show that these glitches fall in two rather distinct categories: fast transients in the interferometric motion readout on one side, and true force transient events on the other. The former are fast and rare in ordinary conditions. The second may last from seconds to hours and constitute the majority of the glitches. We present an analysis of the physical and statistical properties of both categories, including a cross-analysis with other time series like magnetic fields, temperature, and other dynamical variables. Based on these analyses we discuss the possible sources of the force glitches and identify the most likely, among which the outgassing environment surrounding the test-masses stands out. We discuss the impact of these findings on the LISA design and operation, and some risk mitigation measures, including experimental studies that may be conducted on the ground, aimed at clarifying some of the questions left open by our analysis.Peer ReviewedPostprint (author's final draft

miRNA-mRNA integrative analysis in primary myelofibrosis CD34+ cells: role of miR-155/JARID2 axis in abnormal megakaryopoiesis

Primary myelofibrosis (PMF) is a myeloproliferative neoplasm characterized by megakaryocyte (MK) hyperplasia, bone marrow fibrosis, and abnormal stem cell trafficking. PMF may be associated with somatic mutations in JAK2, MPL, or CALR. Previous studies have shown that abnormal MKs play a central role in the pathophysiology of PMF. In this work, we studied both gene and microRNA (miRNA) expression profiles in CD34(+) cells from PMF patients. We identified several biomarkers and putative molecular targets such as FGR, LCN2, and OLFM4. By means of miRNA-gene expression integrative analysis, we found different regulatory networks involved in the dysregulation of transcriptional control and chromatin remodeling. In particular, we identified a network gathering several miRNAs with oncogenic potential (eg, miR-155-5p) and targeted genes whose abnormal function has been previously associated with myeloid neoplasms, including JARID2, NR4A3, CDC42, and HMGB3. Because the validation of miRNA-target interactions unveiled JARID2/miR-155-5p as the strongest relationship in the network, we studied the function of this axis in normal and PMF CD34(+) cells. We showed that JARID2 downregulation mediated by miR-155-5p overexpression leads to increased in vitro formation of CD41(+) MK precursors. These findings suggest that overexpression of miR-155-5p and the resulting downregulation of JARID2 may contribute to MK hyperplasia in PMF

TRAM (Transcriptome Mapper): database-driven creation and analysis of transcriptome maps from multiple sources

<p>Abstract</p> <p>Background</p> <p>Several tools have been developed to perform global gene expression profile data analysis, to search for specific chromosomal regions whose features meet defined criteria as well as to study neighbouring gene expression. However, most of these tools are tailored for a specific use in a particular context (e.g. they are species-specific, or limited to a particular data format) and they typically accept only gene lists as input.</p> <p>Results</p> <p>TRAM (Transcriptome Mapper) is a new general tool that allows the simple generation and analysis of quantitative transcriptome maps, starting from any source listing gene expression values for a given gene set (e.g. expression microarrays), implemented as a relational database. It includes a parser able to assign univocal and updated gene symbols to gene identifiers from different data sources. Moreover, TRAM is able to perform intra-sample and inter-sample data normalization, including an original variant of quantile normalization (scaled quantile), useful to normalize data from platforms with highly different numbers of investigated genes. When in 'Map' mode, the software generates a quantitative representation of the transcriptome of a sample (or of a pool of samples) and identifies if segments of defined lengths are over/under-expressed compared to the desired threshold. When in 'Cluster' mode, the software searches for a set of over/under-expressed consecutive genes. Statistical significance for all results is calculated with respect to genes localized on the same chromosome or to all genome genes. Transcriptome maps, showing differential expression between two sample groups, relative to two different biological conditions, may be easily generated. We present the results of a biological model test, based on a meta-analysis comparison between a sample pool of human CD34+ hematopoietic progenitor cells and a sample pool of megakaryocytic cells. Biologically relevant chromosomal segments and gene clusters with differential expression during the differentiation toward megakaryocyte were identified.</p> <p>Conclusions</p> <p>TRAM is designed to create, and statistically analyze, quantitative transcriptome maps, based on gene expression data from multiple sources. The release includes FileMaker Pro database management runtime application and it is freely available at <url>http://apollo11.isto.unibo.it/software/</url>, along with preconfigured implementations for mapping of human, mouse and zebrafish transcriptomes.</p