Characterization of the MeCP2^R168X Knockin Mouse Model for Rett Syndrome

<div><p>Rett syndrome, one of the most common causes of mental retardation in females, is caused by mutations in the X chromosomal gene <i>MECP2</i>. Mice deficient for MeCP2 recapitulate some of the symptoms seen in patients with Rett syndrome. It has been shown that reactivation of silent <i>MECP2</i> alleles can reverse some of the symptoms in these mice. We have generated a knockin mouse model for translational research that carries the most common nonsense mutation in Rett syndrome, R168X. In this article we describe the phenotype of this mouse model. In male MeCP2^R168X mice life span was reduced to 12–14 weeks and bodyweight was significantly lower than in wild type littermates. First symptoms including tremor, hind limb clasping and inactivity occurred at age 27 days. At age 6 weeks nest building, rotarod, open-field and elevated plus maze experiments showed impaired motor performance, reduced activity and decreased anxiety-like behavior. Plethysmography at the same time showed apneas and irregular breathing with reduced frequency. Female MeCP2^R168X mice showed no significant abnormalities except decreased performance on the rotarod at age 9 months. In conclusion we show that the male MeCP2^R168X mice have a phenotype similar to that seen in <i>MECP2</i> knockout mouse models and are therefore well suited for translational research. The female mice, however, have a much milder and less constant phenotype making such research with this mouse model more challenging.</p></div

Characterization of the MeCP2^R168X/x mice.

<p>Development of bodyweight to age ten months (A). Nest building score after 24 and 48 hours. Data were shown as box plots with median (−), mean (+) and whiskers indicating 5–95 percentile (B). A representative plethysmography record, the breathing frequency and the irregularity score (IrrScore) (C–F). Rotarod at constant speed on 4 consecutive trials and on the accelerating rod (G, H). Results from the open-field test including distance traveled and average speed (I, J). Analysis of anxiety related behavior including time spend in the center at the open field and in the open arms in the elevated plus maze (K, L). Denotation of significance levels: * = p<0.05, ** = p<0.001 and *** = p<0.0001.</p

Characterization of MeCP2^R168X/y mice.

<p>Analysis of survival included 71 mutant mice (A). Body weight was measured weekly and compared to wild type littermates (B). Occurrence of hind limb clasping was measured weekly (C). Nest building was analyzed after 24 and 48 hours and scored according to Deacon 2006. Data were shown as box plots with median (−), mean (+) and whiskers indicating 5–95 percentile. (D). Plethysmography (E) was performed to analyze occurrence of apnea (F) as well as breathing pattern including the frequency (G) and the irregularity score (IrrScore) (H). Rotarod was used to analyze motor coordination. Latency to fall was measured on 2 consecutive days (T1–T4) at constant speed (I) and on 2 consecutive days with accelerating speed (J). To analyze locomotion open field test was performed showing total distance traveled and speed during a 5 minute period (K, L). To test anxiety time in the center of the open field (M) and time spend in the open arms of the elevated plus maze (N) was analyzed. Denotation of significance levels: * = p<0.05, ** = p<0.001 and *** = p<0.0001.</p

Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [CODE: Pre-processing]

This repository contains the scripts and files used to generate the alignment files used for downstream analyses, the bigWig files used to visualise the data and various Quality Control (QC) results used to address the quality of the various samples.<br><div><br></div><div>The complete details about the various scripts and files in this repository, as well as the set of commands used to run the analysis, are included in the file README.txt</div

Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [Data Record 6: RNA-seq]

<u><b>DESCRIPTION<br></b>Experiment type</u> - Expression profiling by high throughput sequencing<br><u>Design</u> - Gene and exon expression changes in two distinct mouse brain regions (CA1, ACC) and three time-points (00H for naive, 01H for 1 hour, 04W for 4 weeks) before and after contextual learning (NAI for naive, CON for context, SHC for context shock).<br><br><b><u>DATA REPOSITORIES</u></b><br><u>EPIGENOME BROWSER (https://memory-epigenome-browser.dzne.de/)</u><br>Contains RNA-seq data under category "RNASEQ-DATA". Sample names include conditioning, time-point, tissue and replicate number (1 to 5; samples without numbers are merged replicates) separated by dashes. bigWig files can also be downloaded for local visualisation.<br><u>Gene Expression Omnibus (GEO)</u><br>Data is available on GEO under the accession number GSE74966 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74966), containing SRA and bigwig files to download for all 29 RNA-seq samples.<br><br><b><u>DATA GENERATION</u></b><br>Alignment and visualisation data was generate using the pre-processing code found in Figshare (https://dx.doi.org/10.6084/m9.figshare.3153193).<br><u><b><br></b></u

Lindsaea orbiculata Mett.

原著和名: エダウチホングウシダ科名: ホングウシダ科 = Lindsaeaceae採集地: 三重県 尾鷲市 (紀伊 尾鷲市)採集日: 1962/11/1採集者: 萩庭丈壽整理番号: JH043649国立科学博物館整理番号: TNS-VS-99364

Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [CODE: CRMs]

This repository contains the positive and negative training sets generated from the ChIP-seq transcription factor and histone post-translational modification data. Such sets of data were run as input to the RFECS software. RFECS is a tailor-made random forest model for making cis-regulatory module (CRM) predictions. The random forest model used for making the predictions is also available in this repository as a binary MATLAB file.<div><br></div><div>The references below explain specifically how to (1) access a MATLAB file and (2), how to use the current model file to predict the CRMs. For more details about the RFECS algorithm itself, take a look at reference (3).<br></div

Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [Data Record 5: MeDIP-seq]

<b><u>DESCRIPTION<br></u></b><u>Experiment type</u> - Methylation profiling by high throughput sequencing<br><u>Design</u> - Chromatin modification changes in two distinct mouse brain regions (CA1, ACC), two cell-types (NEU for neurons, NON for non-neurons) and three time-points (00H for naive, 01H for 1 hour, 04W for 4 weeks) before and after contextual learning (NAI for naive, CON for context, SHC for context shock).<br><br><u><b>DATA REPOSITORIES</b></u><br><u>EPIGENOME BROWSER (https://memory-epigenome-browser.dzne.de/)</u><br>Contains MedIP-seq data under category "MEDIP-DATA". Sample names include conditioning, time-point, tissue, cell type and replicate number (1 or 2; samples without numbers are merged replicates) separated by dashes. bigWig files can also be downloaded for local visualisation.<br><u>Gene Expression Omnibus (GEO)</u><br>Data is available on GEO under the accession number GSE74965 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74965), containing SRA and bigWig files to download for all 40 MedIP-seq samples.<br><br><u><b>DATA GENERATION</b></u><br>Alignment and visualisation data was generate using the pre-processing code found in Figshare (https://dx.doi.org/10.6084/m9.figshare.3153193).<br><b><u><br></u></b

Unused

<u><b>Description</b></u><br>A group of mice was trained and tested for memory retrieval 30 minutes, 24 hours and 4 weeks after context (C) or context shock (CS) exposure (10, 14 and 10 mice per condition, respectively). The motion of mice was tracked and the percentage of freezing (i.e. percentage of total testing time the mice were recorded as frozen) was calculated using the Video Freeze ® automated monitoring system (Med Associates). The freezing percentages is available as a table in Data Record X, separated by tested time after exposure and conditioning.<br

TIPOLOGI PESAN DALAM LIRIK LAGU RELIGI WALI BAND

Tipologi Pesan dalam Lirik Lagu Religi Wali Band. Skripsi Jurusan Komunikasi dan Penyiaran Islam. Fakultas Dakwah dan Komuniasi Universitas Islam Negeri Sunan Kalijaga Yogyakarta. 2017. Penelitian ini berfokus pada klasifikasi pesan berdasarkan bentuk pesan dan rancangan pesan yang ada dalam lirik lagu religi karya Wali Band. Adapun prinsip rancangan pesan yang menjadi acuan dalam penelitian ini diambil dari buku Tipologi Pesan Persuasif karya Jamilludin Ritonga yang membahas tentang isi, struktur dan format pesan. Dan bentuk pesan didasarkan pada klasifikasi yang diajukan dalam buku Strategi Komunikasi: Sebuah Pengantar Ringkas karya Anwar Arifin. . Musik atau lagu dijadikan sebagai bidang yang menjadi subjek penelitian karena lagu merupakan salah satu media yang memberikan respon energi lebih tinggi dalam membentuk segala hal dalam pikiran manusia, baik itu emosi, imajinasi, ataupun pengalaman dari pendengarnya. Salah satu kekuatan musik dalam mempengaruhi emosi, imajinasi, dan pengalaman pendengarnya adalah lirik (syair). Kelima lagu dianalisis berdasarkan definisi konsep dan oprasional dari masing-masing objek teliti. Dari hasil telaah disimpulkan bahwa kelima lagu yang diusung pada bait-bait inti memiliki pesan dengan bentuk masing-masing baik itu informatif, edukatif, persuasif, maupun koersif. Dan kelima lagu tersebut juga menerapkan rancangan pesan sesuai klasifikasi masing-masing