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Muscle Tissue

Muscle Tissue: The contractile connective tissue of the body, consisting of muscle cells or fibers.
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.
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Most cited protocols related to «Muscle Tissue»

The alignment anchors computed at node are used to perform an anchored profile-profile global alignment with modified MUSCLE 3.7 software [44] (link). Global profile-profile alignment requires the input sequences to be free from rearrangement. Therefore, we partition the anchors in into groups that are free from breakpoints in any pairwise projection. A fully fledged locally collinear block at node , no longer constrained to two dimensions, is a maximal set in which each pair-wise projection of into and in is contained in a common pair-wise LCB in . One or more of the original pair-wise LCBs from may be truncated by this restriction, and hence the partitioning into LCBs at node can be thought of as the intersection among constituent pairwise LCBs. Then each LCB in is independently subjected to anchored profile-profile alignment using methods described elsewhere [44] (link). In order to capture the full region of homology at the boundaries of each LCB, sequence regions outside LCBs are randomly split and assigned to neighboring LCBs. An example is shown with the yellow regions in Figure 2 step 5.
After the initial profile-profile alignment, we then apply window-based iterative refinement to improve the alignment. Step 6 of Figure 2 corresponds to this process. Importantly, MUSCLE refines the alignment with a multitude of alternative guide trees and is not restricted to the guide tree chosen for progressive anchoring. The use of multiple guide trees is a particularly important feature in microbial genomes, which are subject to lateral gene transfer. It should be noted that our use of MUSCLE as a refinement step is an approach used in other software pipelines as well [45] (link).
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Publication 2010
Gene Transfer, Horizontal Genome, Microbial Muscle Tissue Trees
DIANA-microT server has been updated to miRBase v18 and Ensembl v69. The server is compatible with the new miRNA nomenclature (3p/5p) introduced in miRBase v18, as well as with previous miRNA naming conventions. It currently supports 7.3 × 106H.sapiens, 3.5 × 106 M.musculus, 4.4 × 105D.melanogaster and 2.5 × 105 C.elegans interactions between 3876 miRNAs and 64 750 protein-coding genes. Gene (9 (link)) and miRNA (13 (link)) expression annotation has been incorporated into the web server, enabling the user to perform advanced result filtering based on tissue expression. Furthermore, users can also restrict predictions between uploaded lists of expressed genes and/or miRNAs. For example, this feature can be used to identify interactions between a list of repressed (or overexpressed) genes and overexpressed (or repressed) miRNAs, in the case of a differential expression analysis pipeline.
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 (Figure 1).
Publication 2013
Conferences Gene Products, Protein Genes MicroRNAs Muscle Tissue Tissues
Representative tumor regions were annotated across all 312 H&E-stained slides by an experienced pathologist (MBL) using QuPath’s manual annotation tools. A script was then applied in batch to automatically identify and set the average background intensity for the red, green and blue channels of each image, which varied markedly according to the scanner used. A second script was then run over all images to apply QuPath’s SLIC superpixel segmentation command to subdivide each annotated region into ‘superpixels’ based upon simple linear iterative clustering33 (link). This script additionally calculated both the average hue for each superpixel along with Haralick texture features34 from optical density values using QuPath’s Add intensity features command. QuPath’s Add smoothed features command was also applied to calculate a Gaussian-weighted sum of the features of neighboring superpixels, and append these to the existing features for each superpixel. This provide additional contextual information extending beyond the superpixel itself.
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 TSP=AS/(AE+AS)×100%
where AS represents the total area classified as stroma, and AE represents the total area classified as epithelium.
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Publication 2017
Epithelium Mucins Muscle Tissue Necrosis Neoplasms Pathologists Tissues Trees Vision
DIANA-miRPath v3.0 database has been extended to support features such as microRNA nomenclature history (18 ), a novel miRNA/gene name suggestion mechanism, as well as analysis support for seven species (H. sapiens, M. musculus, R. norvegicus, D. melanogaster, C. elegans, G. gallus and D. rerio). The new database schema incorporates KEGG pathways, as well as GO and GOSlim annotations, enabling functional annotation of miRNAs and miRNA combinations using all datasets, or their subsets (GO cellular component, biological processes or molecular function). Gene and miRNA annotations are derived from Ensembl (19 (link)) and miRBase (20 (link)), respectively. Single nucleotide polymorphism locations and pathogenicity are derived from dbSNP (21 (link)).
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.
Publication 2015
Biological Processes Caenorhabditis elegans Cellular Structures Cross-Linking and Immunoprecipitation Followed by Deep Sequencing Drosophila melanogaster Genes MicroRNAs Muscle Tissue Pathogenicity RNA, Messenger Single Nucleotide Polymorphism Zebrafish
All images were acquired using a whole-body Philips 3T Achieva scanner (Philips Medical System, Best, The Netherlands) equipped with 80 mT/m gradients. RF was transmitted using the body coil and SENSE reception (31 (link)) was employed. A series of consecutive direct saturation and CEST scans were performed using the 8-element knee coil for both the glycogen phantom and in vivo human calf muscle. To minimize leg motion, foam padding was placed between the subject’s lower leg and the knee coil. In all cases, second order shims over the entire muscle on the imaging slice were optimized to minimize B0 field inhomogeneity. Notice that the width of Z-spectra depends on T2 and that the WASSR procedure provides an absolute field frequency map so that there is no need for higher order shimming for the CEST acquisition. Clinical imagers generally employ a prescan to center the bulk water signal of the object/subject, optimize the flip angle and shim the field. Note that no such “prescan” should be made between direct saturation and CEST scans to maintain the same field reference conditions. For both scans, saturation was accomplished using a rectangular RF pulse before the turbo spin echo (TSE) image acquisition, as previously described by Jones et al. (21 (link)).
The power level needed for each saturation experiment depended on the load and was optimized by measuring sets of Z-spectra under these different conditions. For WASSR, the power and pulse lengths were chosen as small as possible to have sufficient direct saturation, while minimizing any MT effects. For CEST, the maximum pulse length allowed for the body coil within the protected clinical software (500 ms) was used and the power was optimized for maximum effect at the phantom and muscle loads. WASSR was obtained at higher frequency resolution than CEST, but over a smaller frequency range as only the direct saturation region needs to be covered. The WASSR range was chosen sufficiently large to validate the simulated results, consequently leading to a larger number of frequencies needed in vivo than for the phantom.
Single-slice glycogen phantom imaging was performed using SENSE factor = 2, TSE factor [number of refocusing pulses] = 34 (two-shots TSE), TR = 3000 ms, TE = 11 ms, matrix = 128 × 122, FOV = 100 × 100 mm2, slice thickness = 5 mm, NSA = 1. Imaging parameters for human calf muscle experiments were identical to those in phantom experiments except for the following: FOV = 160 × 160 mm2. The saturation spectral parameters for WASSR and CEST are indicated in Table 1.
Publication 2009
Dietary Fiber ECHO protocol Glycogen Homo sapiens Human Body Knee Joint Leg Muscle Tissue Pulse Rate Pulses Radionuclide Imaging SHIMS

Most recents protocols related to «Muscle Tissue»

Example 24

For groups 1-12, see study design in FIG. 32, the 21mer Atrogin-1 guide strand was designed. The sequence (5′ to 3′) of the guide/antisense strand was UCGUAGUUAAAUCUUCUGGUU (SEQ ID NO: 14237). The guide and fully complementary RNA passenger strands were assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Base, sugar and phosphate modifications that are well described in the field of RNAi were used to optimize the potency of the duplex and reduce immunogenicity. Purified single strands were duplexed to get the double stranded siRNA described in figure A. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linkers. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

For groups 13-18 see study design in FIG. 32, a 21mer negative control siRNA sequence (scramble) (published by Burke et al. (2014) Pharm. Res., 31(12):3445-60) with 19 bases of complementarity and 3′ dinucleotide overhangs was used. The sequence (5′ to 3′) of the guide/antisense strand was UAUCGACGUGUCCAGCUAGUU (SEQ ID NO: 14228). The same base, sugar and phosphate modifications that were used for the active MSTN siRNA duplex were used in the negative control siRNA. All siRNA single strands were fully assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Purified single strands were duplexed to get the double stranded siRNA. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linker. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

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:

a.% A% BColumn Volume
b.10001
c.81190.5
d.505013
e .40600.5
f.01000.5
g.10002

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:

a.Time% A% B
b.0.09010
c.3.009010
d.11.004060
e.14.004060
f.15.002080
g.16.009010
h.20.009010

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).

TABLE 22
SAX retention% purity
Conjugatetime (min)(by peak area)
TfR1-Atrogin-1 DAR19.299
TfR1-Scramble DAR18.993

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 FIG. 32. Seven days post conjugate delivery, for groups 3, 6, 9, 12, and 15, muscle atrophy was induced by the daily administration via intraperitoneal injection (10 mg/kg) of dexamethasone for 3 days. For the control groups 2, 5, 8, 11, and 14 (no induction of muscle atrophy) PBS was administered by the daily intraperitoneal injection. Groups 1, 4, 7, 10, and 13 were harvested at day 7 to establish the baseline measurements of mRNA expression and muscle weighted, prior to induction of muscle atrophy. At three days post-atrophy induction (or 10 days post conjugate delivery), gastrocnemius (gastroc) muscle tissues were harvested, weighed and snap-frozen in liquid nitrogen. mRNA knockdown in target tissue was determined using a comparative qPCR assay as described in the methods section. Total RNA was extracted from the tissue, reverse transcribed and mRNA levels were quantified using TaqMan qPCR, using the appropriately designed primers and probes. PPIB (housekeeping gene) was used as an internal RNA loading control, results were calculated by the comparative Ct method, where the difference between the target gene Ct value and the PPIB Ct value (ΔCt) is calculated and then further normalized relative to the PBS control group by taking a second difference (ΔΔCt).

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 FIG. 33-FIG. 35. The Atrogin-1 siRNA guide strands were able to mediate downregulation of the target gene in gastroc muscle when conjugated to an anti-TfR mAb targeting the transferrin receptor, see FIG. 33. Increasing the dose from 3 to 9 mg/kg reduced atrophy-induced Atrogin-1 mRNA levels 2-3 fold. The maximal KD achievable with this siRNA was 80% and a tissue concentration of 40 nM was needed to achieve maximal KD in atrophic muscles. This highlights the conjugate delivery approach is able to change disease induce mRNA expression levels of Atrogin-1 (see FIG. 34), by increasing the increasing the dose. FIG. 35 highlights that mRNA down regulation is mediated by RISC loading of the Atrogin-1 guide strands and is concentration dependent.

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.

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Patent 2024
Acetate Anions Antibody Formation Antigens Atrophy Biological Assay Borates Buffers Carbohydrates Chromatography Complementary RNA Complement System Proteins Cysteine Dexamethasone Dinucleoside Phosphates DNA, Complementary Down-Regulation Ethanol Ethylmaleimide Freezing Genes Genes, Housekeeping High-Performance Liquid Chromatographies Immunoglobulins Injections, Intraperitoneal maleimide MicroRNAs Mus Muscle, Gastrocnemius Muscle Tissue Muscular Atrophy Nitrogen Obstetric Delivery Oligonucleotide Primers Pentetic Acid Phosphates Plasma PPIB protein, human Prospective Payment Assessment Commission Real-Time Polymerase Chain Reaction Retention (Psychology) Reverse Transcription RNA, Messenger RNA, Small Interfering RNA-Induced Silencing Complex RNA Interference Sodium Chloride Solvents Stem, Plant STS protein, human Sulfhydryl Compounds Sulfoxide, Dimethyl TFRC protein, human Tissues Transferrin tris(2-carboxyethyl)phosphine Tromethamine

Example 15

In a 15th example, reference is made to FIGS. 12 and 13. FIG. 12 shows an example of the first measurement signal stream F1 and of the second measurement signal stream F2 in the situation where the subject suffers a temporary disappearance of all control of cerebral origin, which is characteristic of central hypopnoea. This disappearance is characterized by the mouth opening passively because it is no longer held up by the muscles. It is therefore seen in the streams F1 and F2 that between the peaks the signal does not indicate any activity. On the other hand at the moment of the peak there is observed a high amplitude of the movement of the mandible. Toward the end of the peaks there is seen a movement that corresponds to a non-respiratory frequency, which is the consequence of cerebral activation that will then result in a micro-arousal. The digit 1 indicates the period of hypopnoea where a reduction of the flow is clearly visible on the stream F5th from the thermistor. The digits 2 and 3 indicate the disappearance of mandibular movement in the streams F1 and F2 during the period of central hypopnoea. FIG. 13 shows an example of the first measurement signal stream F1 and of the second measurement signal stream F2 in the situation where the subject experiences a prolonged respiratory effort that will terminate in cerebral activation. It is seen that the signal from the accelerometer F1 indicates at the location indicated by H a large movement of the head and of the mandible. Thereafter the stream F2 remains virtually constant whereas in that F1 from the accelerometer the level drops, which shows that there is in any event a movement of the mandible, which is slowly lowered. There then follows a high peak I that is a consequence of a change in the position of the head during the activation that terminates the period of effort. The digit 1 indicates this long period of effort marked by snoring. It is seen, as indicated by the digit 2, that the effort is increasing with time. This effort terminates, as indicated by the digit 3, in cerebral activation that results in movements of the head and the mandible, indicated by the letter I.

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.

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Patent 2024
ARID1A protein, human Arousal Exhaling Fingers Gene Expression Regulation Head Head Movements Mandible Medical Devices Memory Movement Muscle Tissue Oral Cavity Respiratory Rate Sleep Thumb Vision
Not available on PMC !

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.

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Patent 2024
Body Fat Chromium Diet Human Body Muscle Tissue Treatment Protocols
Not available on PMC !

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.

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Patent 2024
Chest Chromium Diet Hypertrophy Muscle Tissue Quadriceps Femoris Treatment Protocols

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 (FIGS. 6A and B), suggesting this biofluid exRNA is a viable approach to monitor therapeutic exon-skipping ASO drug effects in DMD patients as personalized genetic markers27, 28.

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Patent 2024
Biopsy Deletion Mutation Exons Figs Homo sapiens mRNA Precursor Muscle Tissue Muscular Dystrophy, Duchenne Myopathy Patients Pharmaceutical Preparations Proteins Substance Abuse Detection Therapeutic Effect Therapeutics Urine

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