After the initial profile-profile alignment, we then apply window-based iterative refinement to improve the alignment. Step 6 of
Muscle Tissue
It is found in the heart, skeletal muscles, and smooth muscles.
Muscle tissue research is crucial for understanding the structure, function, and regeneration of this essential bodily system.
Explore the latest advancements in this field and enhance your work with the power of PubCompare.ai, an AI-driven platform that helps locate the best protocols from literature, pre-prints, and patents, while providing accurate comparisons to improve reproducibility and accuarcy.
Most cited protocols related to «Muscle Tissue»
After the initial profile-profile alignment, we then apply window-based iterative refinement to improve the alignment. Step 6 of
Moreover, the web server hosts an updated version of the KEGG database providing a relevant search module based on KEGG pathway descriptions (14 (link)). A redesigned optional user space has also been implemented, which provides personalized features and facilitates the interconnectivity between the web server and the available DIANA software and databases (
A subset of 40 ‘training’ images was then identified for the pathologist to interactively train a random trees classifier to distinguish between tissue areas comprising tumor epithelium, stroma and ‘other’ (e.g. whitespace, mucin, normal muscle or necrosis). This required drawing around regions containing tissue of each class and annotating these accordingly. During this process, QuPath used all available features to train the classifier in a background process and thereby provide immediate feedback on classification performance. Once the classification was considered adequate across the training images, the classifier was applied to all images within the set and the total area of superpixels for each class was exported. The tumor stromal percentage (TSP) was then calculated as
where AS represents the total area classified as stroma, and AE represents the total area classified as epithelium.
miRNA:gene interactions are derived from the in silico miRNA target prediction algorithms: DIANA-microT-CDS and TargetScan 6.2, the latter in both Context+ and Conservation modes. DIANA-microT-CDS is the fifth version of the microT algorithm (3 (link)). It is a highly accurate target prediction algorithm trained against CLIP-Seq datasets, enabling target prediction in 3′ UTR and CDS mRNA regions. The user of DIANA-miRPath v3.0 can also utilize experimentally supported interactions from DIANA-TarBase v.7.0. TarBase v7.0 incorporates more than half a million experimentally supported miRNA:gene interactions derived from hundreds of publications and more than 150 CLIP-Seq libraries (17 (link)). The number of indexed interactions is 9–250-fold higher compared to any other manually curated database. The user of miRPath v3.0 can harness this wealth of information and substitute or combine in silico predicted targets with high quality experimentally validated interactions. Currently, this functionality is supported for H. sapiens and M. musculus and C. elegans, since most relevant wet-lab experiments correspond to these species. As more experimental data become available for other organisms in DIANA-TarBase, the experimentally supported functional analysis module will be further extended.
Most recents protocols related to «Muscle Tissue»
Example 24
For groups 1-12, see study design in
For groups 13-18 see study design in
Antibody siRNA Conjugate Synthesis Using Bis-Maleimide (BisMal) Linker
Step 1: Antibody Reduction with TCEP
Antibody was buffer exchanged with 25 mM borate buffer (pH 8) with 1 mM DTPA and made up to 10 mg/ml concentration. To this solution, 4 equivalents of TCEP in the same borate buffer were added and incubated for 2 hours at 37° C. The resultant reaction mixture was combined with a solution of BisMal-siRNA (1.25 equivalents) in pH 6.0 10 mM acetate buffer at RT and kept at 4° C. overnight. Analysis of the reaction mixture by analytical SAX column chromatography showed antibody siRNA conjugate along with unreacted antibody and siRNA. The reaction mixture was treated with 10 EQ of N-ethylmaleimide (in DMSO at 10 mg/mL) to cap any remaining free cysteine residues.
Step 2: Purification
The crude reaction mixture was purified by AKTA Pure FPLC using anion exchange chromatography (SAX) method-1. Fractions containing DAR1 and DAR2 antibody-siRNA conjugates were isolated, concentrated and buffer exchanged with pH 7.4 PBS.
Anion Exchange Chromatography Method (SAX)-1.
Column: Tosoh Bioscience, TSKGel SuperQ-5PW, 21.5 mm ID×15 cm, 13 um
Solvent A: 20 mM TRIS buffer, pH 8.0; Solvent B: 20 mM TRIS, 1.5 M NaCl, pH 8.0; Flow Rate: 6.0 ml/min
Gradient:
Anion Exchange Chromatography (SAX) Method-2
Column: Thermo Scientific, ProPac™ SAX-10, Bio LC™, 4×250 mm
Solvent A: 80% 10 mM TRIS pH 8, 20% ethanol; Solvent B: 80% 10 mM TRIS pH 8, 20% ethanol, 1.5 M NaCl; Flow Rate: 0.75 ml/min
Gradient:
Step-3: Analysis of the Purified Conjugate
The purity of the conjugate was assessed by analytical HPLC using anion exchange chromatography method-2 (Table 22).
In Vivo Study Design
The conjugates were assessed for their ability to mediate mRNA downregulation of Atrogin-1 in muscle (gastroc) in the presence and absence of muscle atrophy, in an in vivo experiment (C57BL6 mice). Mice were dosed via intravenous (iv) injection with PBS vehicle control and the indicated ASCs and doses, see
Quantitation of tissue siRNA concentrations was determined using a stem-loop qPCR assay as described in the methods section. The antisense strand of the siRNA was reverse transcribed using a TaqMan MicroRNA reverse transcription kit using a sequence-specific stem-loop RT primer. The cDNA from the RT step was then utilized for real-time PCR and Ct values were transformed into plasma or tissue concentrations using the linear equations derived from the standard curves.
Results
The data are summarized in
Conclusions
In this example, it was demonstrated that a TfR1-Atrogin-1 conjugates, after in vivo delivery, mediated specific down regulation of the target gene in gastroc muscle in a dose dependent manner. After induction of atrophy the conjugate was able to mediate disease induce mRNA expression levels of Atrogin-1 at the higher doses. Higher RISC loading of the Atrogin-1 guide strand correlated with increased mRNA downregulation.
Example 15
In a 15th example, reference is made to
The analysis unit holds in its memory models of these various signals that are the result of processing employing artificial intelligence as described hereinbefore. The analysis unit will process these streams using those results to produce a report on the analysis of those results.
It was found that the accelerometer is particularly suitable for measuring movements of the head whereas the gyroscope, which measures rotation movements, was found to be particularly suitable for measuring rotation movements of the mandible. Thus cerebral activation that leads to rotation of the mandible without the head changing position can be detected by the gyroscope. On the other hand, an IMM type movement will be detected by the accelerometer, in particular if the head moves on this occasion. An RMM type movement will be detected by the gyroscope, which is highly sensitive thereto.
Example 5
Increasing Muscle Mass: Using a protocol, similar to that described above, subjects are instructed to follow a diet and exercise regimen for 4 weeks, including resistance training three days per week. At the completion of the study, subjects' body mass and body fat percentage are measured. The test group shows an average of about 5% more muscle mass than the control group.
Example 6
Increasing the Rate of Muscle Hypertrophy: Using the standard protocol, described above, subjects are instructed to follow a diet and exercise regimen for 4 weeks, including resistance training three days per week. At the completion of the study, the circumference of subjects' biceps, quadriceps, and chest are measured. The test group shows an average increase in circumference of about 5% relative to the control group.
Example 4
ASOs also are being evaluated therapeutically for another form of muscle disease, Duchenne muscular dystrophy (DMD), to modify dystrophin pre-mRNA splicing directly by inducing skipping of a target exon to restore the open reading frame and produce a truncated, partially functional protein27, 28. Detection of therapeutic drug effects in DMD patients involves multiple muscle biopsies to examine splicing outcomes and dystrophin protein production. To test whether biofluid exRNA contains DMD deletion transcripts, we examined urine from several subjects with DMD and found patient-specific DMD deletion transcripts (