Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing
by
Aguilar, Carlos A.
, Meissner, Alexander
, Ricke, Darrell O.
, Carrigan, Christopher T.
, Shcherbina, Anna
, Pop, Ramona
, Kottke, Melissa A.
, Urso, Maria L.
, Gifford, Casey A.
in
631/208/199
/ 631/61/514/1949
/ Animals
/ Athletes
/ Chronic pain
/ Classification
/ Complement System Proteins - immunology
/ Complement System Proteins - metabolism
/ Computational Biology - methods
/ Fibroblasts - metabolism
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Injuries
/ Isoforms
/ Lower Extremity
/ Male
/ Mice
/ Molecular Sequence Annotation
/ multidisciplinary
/ Muscle, Skeletal - injuries
/ Muscle, Skeletal - metabolism
/ Muscle, Skeletal - pathology
/ Next-generation sequencing
/ Phenotype
/ Receptors, Notch - metabolism
/ Reproducibility of Results
/ Ribonucleic acid
/ RNA
/ Science
/ Signal Transduction
/ Support Vector Machine
/ Transcription
/ Transcriptome
/ Wnt Proteins - metabolism
/ Wound Healing - genetics
2015
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing
by
Aguilar, Carlos A.
, Meissner, Alexander
, Ricke, Darrell O.
, Carrigan, Christopher T.
, Shcherbina, Anna
, Pop, Ramona
, Kottke, Melissa A.
, Urso, Maria L.
, Gifford, Casey A.
in
631/208/199
/ 631/61/514/1949
/ Animals
/ Athletes
/ Chronic pain
/ Classification
/ Complement System Proteins - immunology
/ Complement System Proteins - metabolism
/ Computational Biology - methods
/ Fibroblasts - metabolism
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Injuries
/ Isoforms
/ Lower Extremity
/ Male
/ Mice
/ Molecular Sequence Annotation
/ multidisciplinary
/ Muscle, Skeletal - injuries
/ Muscle, Skeletal - metabolism
/ Muscle, Skeletal - pathology
/ Next-generation sequencing
/ Phenotype
/ Receptors, Notch - metabolism
/ Reproducibility of Results
/ Ribonucleic acid
/ RNA
/ Science
/ Signal Transduction
/ Support Vector Machine
/ Transcription
/ Transcriptome
/ Wnt Proteins - metabolism
/ Wound Healing - genetics
2015
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing
by
Aguilar, Carlos A.
, Meissner, Alexander
, Ricke, Darrell O.
, Carrigan, Christopher T.
, Shcherbina, Anna
, Pop, Ramona
, Kottke, Melissa A.
, Urso, Maria L.
, Gifford, Casey A.
in
631/208/199
/ 631/61/514/1949
/ Animals
/ Athletes
/ Chronic pain
/ Classification
/ Complement System Proteins - immunology
/ Complement System Proteins - metabolism
/ Computational Biology - methods
/ Fibroblasts - metabolism
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Injuries
/ Isoforms
/ Lower Extremity
/ Male
/ Mice
/ Molecular Sequence Annotation
/ multidisciplinary
/ Muscle, Skeletal - injuries
/ Muscle, Skeletal - metabolism
/ Muscle, Skeletal - pathology
/ Next-generation sequencing
/ Phenotype
/ Receptors, Notch - metabolism
/ Reproducibility of Results
/ Ribonucleic acid
/ RNA
/ Science
/ Signal Transduction
/ Support Vector Machine
/ Transcription
/ Transcriptome
/ Wnt Proteins - metabolism
/ Wound Healing - genetics
2015
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing
Journal Article
In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing
2015
Request Book From Autostore
and Choose the Collection Method
Overview
Traumatic lower-limb musculoskeletal injuries are pervasive amongst athletes and the military and typically an individual returns to activity prior to fully healing, increasing a predisposition for additional injuries and chronic pain. Monitoring healing progression after a musculoskeletal injury typically involves different types of imaging but these approaches suffer from several disadvantages. Isolating and profiling transcripts from the injured site would abrogate these shortcomings and provide enumerative insights into the regenerative potential of an individual’s muscle after injury. In this study, a traumatic injury was administered to a mouse model and healing progression was examined from 3 hours to 1 month using high-throughput RNA-Sequencing (RNA-Seq). Comprehensive dissection of the genome-wide datasets revealed the injured site to be a dynamic, heterogeneous environment composed of multiple cell types and thousands of genes undergoing significant expression changes in highly regulated networks. Four independent approaches were used to determine the set of genes, isoforms and genetic pathways most characteristic of different time points post-injury and two novel approaches were developed to classify injured tissues at different time points. These results highlight the possibility to quantitatively track healing progression
in situ
via transcript profiling using high- throughput sequencing.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Animals
/ Athletes
/ Complement System Proteins - immunology
/ Complement System Proteins - metabolism
/ Computational Biology - methods
/ Genomes
/ Humanities and Social Sciences
/ Injuries
/ Isoforms
/ Male
/ Mice
/ Molecular Sequence Annotation
/ Muscle, Skeletal - metabolism
/ Muscle, Skeletal - pathology
/ Receptors, Notch - metabolism
/ RNA
/ Science
This website uses cookies to ensure you get the best experience on our website.