ABSTRACT: DNA metabarcoding improves the detection of multiple stressor responses of stream invertebrates to increased salinity, fine sediment deposition and reduced flow velocity
Project description:Responses of stream microbes to multiple anthropogenic stressors (salinization, fine sediment deposition and altered flow) in a mesocosm study
Project description:N6-methyladenosine modification (m6A) fine-tunes RNA fate in a variety of ways, thus regulating multiple fundamental biological processes. m6A writers bind to chromatin and interact with RNA polymerase II (RNAPII) during transcription. To evaluate how the dynamics of the transcription process impact m6A deposition, we studied RNAPII elongation rates in mouse embryonic stem cells with altered chromatin configurations, due to reductions in linker histone H1 content. We found that genes transcribed at slow speed are preferentially methylated and display unique signatures at their promoter region, namely high levels of histone H1, together with marks of bivalent chromatin and low RNAPII pausing. They are also highly susceptible to m6A loss upon histone H1 reduction. These results indicate that RNAPII velocity links chromatin structure and the deposition of m6A, highlighting the intricate relationship between different regulatory layers on nascent mRNA molecules.
Project description:Primary objectives: It is the primary objective of this study to assess whether there is a change and a correlation between ocular blood flow parameters (retinal vessel diameters, choroidal blood flow, fundus pulsation amplitude, retinal blood velocity and thickness) and treatment response in mCRC treated with standard of care anti-angiogenic regimens in combination with chemotherapy.
Primary endpoints: Retinal vessel diameters using The Retinal Vessel AnalyzerChoroidal blood flow using Laser Doppler flowmetryRetinal blood velocity by laser Doppler velocimeterFundus pulsation amplitude using laser interferometryRetinal thickness by OCT Plasma level of sVEGFR, VEGF, Tie2, intraocular pressure
Project description:Low salinity is one of the main factors limiting the distribution and survival of marine species. As estuarine species, Crassostrea hongkongensis can live in relative low salinity. Through Illumina sequencing, we generated two transcriptomes with samples taken from gills of oysters exposed to the low salinity seawater versus the optimal seawater. By RNAseq technology, we found 13550 up-regulation genes and 9914 down-regulation genes that may regulate osmotic stress in C. hongkongensis. As blasted by GO annotation and KEGG pathway mapping, functional annotation of the genes recovered diverse biological functions and processes. The genes regulated significantly were dominated in structural molecule activity, intracellular,cytoplasm protein metabolism, biosynthesis,cell and transcription regulator activity according to GO annotation. The study aimed to compare the expression data of the two transcriptomes to provide some useful insights into signal transduction pathways in oysters and offer a number of candidate genes as potential markers of tolerance to hypoosmotic stress for oysters. In addition, the characterization of C. hongkongensis transcriptome will facilitate research into biological processes underlying physiological adaptations to hypoosmotic shock for marine invertebrates. Twelve oysters were exposed in low salinity (8‰) seawater and in optimal salinity (25‰) seawater,respectively. Gills from six oysters in each condition were balanced mixed respectively. The transcriptomes of two samples were generated by deep sequencing, using Illumina HiSeq2000
Project description:This project is aiming to examine the molecular response of the blue mussel (Mytilus edulis) to increased air temperatures and reduced salinity under laboratory conditions. There are 5 treatment groups (n=5), with group A representing the control (salinity 23percent salinity and temperature 5 degree celsius), group B ( 23percent salinity 30 degree celsius), group C (23percent salinity 33 degree celsius), group D (15percent salinity 5 degree celsius), group E (15percent salinity 30 degree celsius), group F (15percent salinity33 degree celsius), group G (5percent salinity 5 degree celsius).
Project description:Low salinity is one of the main factors limiting the distribution and survival of marine species. As a euryhaline species, the Pacific oyster Crassostrea gigas can be tolerant to relative low salinity. Through Illumina sequencing, we generated two transcriptomes with samples taken from gills of oysters exposed to the low salinity seawater versus the optimal seawater. By RNAseq technology, we found 1665 up-regulation genes and 1815 down-regulation genes that may regulate osmotic stress in C. gigas. As blasted by GO annotation and KEGG pathway mapping, functional annotation of the genes recovered diverse biological functions and processes. The genes regulated significantly were dominated in cellular process and regulation of biological process, intracellular and cell, binding and protein binding according to GO annotation. The results highlight genes related to osmoregulation and signaling and interactions of osmotic stress response, anti-apoptotic reactions as well as immune response, cell adhesion and communication, cytosqueleton and cell cycle. The study aimed to compare the expression data of the two transcriptomes to provide some useful insights into signal transduction pathways in oysters and offer a number of candidate genes as potential markers of tolerance to hypoosmotic stress for oysters. In addition, the characterization of C. gigas transcriptome will facilitate research into biological processes underlying physiological adaptations to hypoosmotic shock for marine invertebrates. Twelve Pacific oysters were exposed in low salinity (8‰) seawater and in optimal salinity (25‰) seawater, respectively. Gills from six oysters in each condition were balanced mixed respectively. The transcriptomes of two samples were generated by deep sequencing, using Illumina HiSeq2000.
Project description:Muscle is highly hierarchically organized, with functions shaped by genetically controlled expression of protein ensembles with different isoform profiles at the sarcomere scale. However, it remains unclear how isoform profiles shape whole-muscle performance. We compared two mouse hindlimb muscles, the slow, relatively parallel-fibered soleus and the faster, more pennate-fibered tibialis anterior (TA), across scales: from gene regulation, isoform expression and translation speed, to force-length-velocity-power for intact muscles. Expression of myosin heavy-chain (MHC) isoforms directly corresponded with contraction velocity. The fast-twitch TA with fast MHC isoforms had faster unloaded velocities (actin sliding velocity, Vactin; peak fiber velocity, Vmax) than the slow-twitch soleus. For the soleus, Vactin was biased towards Vactin for purely slow MHC I, despite this muscle's even fast and slow MHC isoform composition. Our multi-scale results clearly identified a consistent and significant dampening in fiber shortening velocities for both muscles, underscoring an indirect correlation between Vactin and fiber Vmax that may be influenced by differences in fiber architecture, along with internal loading due to both passive and active effects. These influences correlate with the increased peak force and power in the slightly more pennate TA, leading to a broader length range of near-optimal force production. Conversely, a greater force-velocity curvature in the near-parallel fibered soleus highlights the fine-tuning by molecular-scale influences including myosin heavy and light chain expression along with whole-muscle characteristics. Our results demonstrate that the individual gene, protein and whole-fiber characteristics do not directly reflect overall muscle performance but that intricate fine-tuning across scales shapes specialized muscle function.
Project description:Interventions: Case series:Video observation during colonoscopy, no other traumatic intervention
Primary outcome(s): Microcirculation Vessel Density;Mean Vessel Width;Width Standard Deviation;blood flow velocity
Study Design: Sequential