A method for measuring investigative journalism in local newspapers.
Ontology highlight
ABSTRACT:
SUBMITTER: Turkel E
PROVIDER: S-EPMC8325361 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Direct measurement of nucleosome turnover dynamics by using co-translational incorporation of the methionine (Met) surrogate azidohomoalaine (Aha) into proteins and subsequent ligation of biotin to Aha-containing proteins through the [3+2] cycloaddition reaction between the azide group of Aha and an alkyne linked to biotin. To measure turnover rates, we treat cells briefly with Aha, couple biotin to nucleosomes containing newly incorporated histones, affinity purify with strepavidin, wash stringently to remove non-histone proteins and H2A/H2B dimers, and analyze the affinity-purified DNA using tiling microarrays. We call this strategy 'CATCH-IT' for Covalent Attachment of Tags to Capture Histones and Identify Turnover. Keywords: Chromatin affinity-purification on microarray All experiments were done using strepavidin pulldown DNA cohybridized with total input DNA to the same array. Two channels per array, Cy5 and Cy3, were used in each experiment.
2010-05-27 | E-GEOD-19788 | biostudies-arrayexpress
Project description:Direct measurement of nucleosome turnover dynamics by using co-translational incorporation of the methionine (Met) surrogate azidohomoalaine (Aha) into proteins and subsequent ligation of biotin to Aha-containing proteins through the [3+2] cycloaddition reaction between the azide group of Aha and an alkyne linked to biotin. To measure turnover rates, we treat cells briefly with Aha, couple biotin to nucleosomes containing newly incorporated histones, affinity purify with strepavidin, wash stringently to remove non-histone proteins and H2A/H2B dimers, and analyze the affinity-purified DNA using tiling microarrays. We call this strategy 'CATCH-IT' for Covalent Attachment of Tags to Capture Histones and Identify Turnover. Keywords: Chromatin affinity-purification on microarray
2010-05-27 | GSE19788 | GEO
Project description:When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is attempted, additional information on the location of the single cells, behavior of the surrounding cells, and the microenvironment they generate, would be very important. We developed an inexpensive, high throughput application while preserving spatial organization, named "semibulk RNA-seq" (sbRNA-seq). We utilized a microfluidic device specifically designed for the experiments to encapsulate both a barcoded bead and a cell aggregate (a semibulk) into a single droplet. Using sbRNA-seq, we firstly analyzed mouse kidney specimens. In the mouse model, we could associate the pathological information with the gene expression information. We validated the results using spatial transcriptome analysis and found them highly consistent. When we applied the sbRNA-seq analysis to the human breast cancer specimens, we identified spatial interactions between a particular population of immune cells and that of cancer-associated fibroblast cells, which were not precisely represented solely by the single-cell analysis. Semibulk analysis may provide a convenient and versatile method, compared to a standard spatial transcriptome sequencing platform, to associate spatial information with transcriptome information.
| S-EPMC9468030 | biostudies-literature
Project description:BackgroundCCNY, a novel cyclin family member, plays an increasingly important role in the progression of tumor invasion and metastasis, including lung cancer. However, the clinical significance of CCNY in non-small-cell lung cancer (NSCLC) patients is unknown.Patients and methodsWe prepared CCNY monoclonal antibodies, validated specific peptides by a peptide array, and established a double-antibody sandwich ELISA detection method. Then, we measured CCNY levels in 100 NSCLC patients and 50 healthy controls. A blinded validation was subsequently performed in 399 NSCLC patients and 150 healthy controls.ResultsWe successfully prepared two specific mouse anti-human CCNY monoclonal antibodies and established a reliable and stable detection method. In the training set, serum CCNY was markedly increased in the NSCLC patients (P<0.05) with an integrated area under the curve of 0.751. With further analysis of the CCNY levels, there were no differences in age, sex, smoking status, tumor location, histologic subtype, or tumor size, but differences were observed in lymphatic (P<0.001) and distant (P<0.001) metastases in NSCLC patients. The CCNY[+] patients had a shorter survival time and progression-free survival than CCNY[-] patients at 3-year follow-up (P<0.001). The results were confirmed by the validation set.ConclusionOur study suggests that CCNY may be useful as a latent tumor marker to facilitate diagnosis and may be an effective indicator of tumor aggressiveness, playing an important role in the prognosis of NSCLC patients.
| S-EPMC6357874 | biostudies-literature
Project description:The introduction of local resolution has enormously helped the understanding of cryo-EM maps. Still, for any given pixel it is a global, aggregated value, that makes impossible the individual analysis of the contribution of the different projection directions. We introduce MonoDir, a fully automatic, parameter-free method that, starting only from the final cryo-EM map, decomposes local resolution into the different projection directions, providing a detailed level of analysis of the final map. Many applications of directional local resolution are possible, and we concentrate here on map quality and validation.
| S-EPMC6940361 | biostudies-literature
Project description:Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges interact and transiently couple. A particular form of CFC, phase-amplitude coupling (PAC), has raised interest given the growing amount of evidence of its possible role in healthy and pathological brain information processing. Although several methods have been proposed for PAC estimation, only a few have addressed the estimation of the temporal evolution of PAC, and these typically require a large number of experimental trials to return a reliable estimate. Here we explore the use of mutual information to estimate a PAC measure (MIPAC) in both continuous and event-related multi-trial data. To validate these two applications of the proposed method, we first apply it to a set of simulated phase-amplitude modulated signals and show that MIPAC can successfully recover the temporal dynamics of the simulated coupling in either continuous or multi-trial data. Finally, to explore the use of MIPAC to analyze data from human event-related paradigms, we apply it to an actual event-related human electrocorticographic (ECoG) data set that exhibits strong PAC, demonstrating that the MIPAC estimator can be used to successfully characterize amplitude-modulation dynamics in electrophysiological data.
| S-EPMC6342492 | biostudies-literature
Project description:Computational biology is replete with high-dimensional (high-D) discrete prediction and inference problems, including sequence alignment, RNA structure prediction, phylogenetic inference, motif finding, prediction of pathways, and model selection problems in statistical genetics. Even though prediction and inference in these settings are uncertain, little attention has been focused on the development of global measures of uncertainty. Regardless of the procedure employed to produce a prediction, when a procedure delivers a single answer, that answer is a point estimate selected from the solution ensemble, the set of all possible solutions. For high-D discrete space, these ensembles are immense, and thus there is considerable uncertainty. We recommend the use of Bayesian credibility limits to describe this uncertainty, where a (1-alpha)%, 0< or =alpha< or =1, credibility limit is the minimum Hamming distance radius of a hyper-sphere containing (1-alpha)% of the posterior distribution. Because sequence alignment is arguably the most extensively used procedure in computational biology, we employ it here to make these general concepts more concrete. The maximum similarity estimator (i.e., the alignment that maximizes the likelihood) and the centroid estimator (i.e., the alignment that minimizes the mean Hamming distance from the posterior weighted ensemble of alignments) are used to demonstrate the application of Bayesian credibility limits to alignment estimators. Application of Bayesian credibility limits to the alignment of 20 human/rodent orthologous sequence pairs and 125 orthologous sequence pairs from six Shewanella species shows that credibility limits of the alignments of promoter sequences of these species vary widely, and that centroid alignments dependably have tighter credibility limits than traditional maximum similarity alignments.
| S-EPMC2367447 | biostudies-literature
Project description:Scientific terminology presents an obstacle to effective communication with nonscientific audiences. To overcome this obstacle, biology majors in a general microbiology elective completed a project involving two different audiences: a scientific audience of their peers and a general, nonscientific audience. First, students presented an overview of a primary research paper and the significance of its findings to a general, nonscientific audience in an elevator-type talk. This was followed by a peer interview with a student in a journalism course, in which the biology students needed to comprehend the article to effectively communicate it to the journalism students, and the journalism students needed to ask questions about an unfamiliar, technical topic. Next, the biology students wrote a summary of their article for a scientific audience. Finally, the students presented a figure from the article to their peers in a scientific, Bio-Minute format. The biology-journalism partnership allowed biology students to develop their ability to communicate scientific information and journalism students their ability to ask appropriate questions and establish a base of knowledge from which to write.
| S-EPMC5969402 | biostudies-literature
Project description:Immunohistochemistry (IHC) is a valuable tool in pathology. This review provides a brief description of the technical aspects of IHC and a detailed discussion on the variables that affect the results, interpretation, and reproducibility of IHC results. Lists of antibodies that have and have not worked in IHC on various mouse and rat tissues in our laboratory are provided as a guidance for selection of antibodies. An approach to IHC method optimization is presented. Finally, the critical information that should be included as a part of peer-reviewed manuscript is also discussed.
| S-EPMC6033701 | biostudies-literature
Project description:Mitochondria, responsible for the energy-generating process essential for the cell metabolism, differ for the number, localization and activity in animal cells and tissues in relation to the energetic needs. Using fluorescent probes specific for mitochondria, Mitotracker Green (MTG) and Orange (MTO), and Confocal Laser-Scanning Microscope (CLSM), we elaborated a method to measure in vivo the mitochondrial mass and activity, in sea urchin Paracentrotus lividus eggs and embryos. The analysis of captured images, revealed a variation of mitochondrial distribution and an increase of activity after fertilization.
| S-EPMC2553627 | biostudies-other