Proteomics

Dataset Information

0

SM/J mice display spontaneous early onset disc degeneration link to ion transport system and matrisome changes


ABSTRACT: To fully apprehend the complex mechanisms responsible for intervertebral disc (IVD) degeneration, one needs to gain a deeper understanding of what characterizes a good and bad intervertebral disc. Using a quantitative proteomic approach, we compared methodically the differences existing between a mouse model known as good healer LG/J to another mouse model characterize as bad healer SM/J. A total of 5245 proteins were identified. By assessing the overlap of the NP LG/J and SM/J proteomic signature with a list of over 1000 matrisomal proteins generated by Naba and co-workers (33), we provide a first comprehensive comparison of NP IVD matrix composition in a good and bad condition and identify potential changes that are fundamental for maintenance of a healthy disc.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Nucleus Pulposus Cell Of Intervertebral Disc, Intervertebral Disc

DISEASE(S): Scoliosis

SUBMITTER: MATEUSZ KUDELKO  

LAB HEAD: Professor Danny Chan

PROVIDER: PXD008784 | Pride | 2018-04-16

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
LGJ4-1_EA_LFQ1.raw Raw
LGJ4-1_EA_LFQ2.raw Raw
LGJ4-1_EA_LFQ3.raw Raw
LGJ4-2_EA_LFQ1.raw Raw
LGJ4-2_EA_LFQ2.raw Raw
Items per page:
1 - 5 of 17
altmetric image

Publications

Early onset of disc degeneration in SM/J mice is associated with changes in ion transport systems and fibrotic events.

Zhang Ying Y   Xiong Chi C   Kudelko Mateusz M   Li Yan Y   Wang Cheng C   Wong Yuk Lun YL   Tam Vivian V   Rai Muhammad Farooq MF   Cheverud James J   Lawson Heather A HA   Sandell Linda L   Chan Wilson C W WCW   Cheah Kathryn S E KSE   Sham Pak C PC   Chan Danny D  

Matrix biology : journal of the International Society for Matrix Biology 20180409


Intervertebral disc degeneration (IDD) causes back pain and sciatica, affecting quality of life and resulting in high economic/social burden. The etiology of IDD is not well understood. Along with aging and environmental factors, genetic factors also influence the onset, progression and severity of IDD. Genetic studies of risk factors for IDD using human cohorts are limited by small sample size and low statistical power. Animal models amenable to genetic and functional studies of IDD provide des  ...[more]

Similar Datasets

2021-09-07 | PXD006671 | Pride
2010-03-05 | E-MEXP-2291 | biostudies-arrayexpress
2019-06-05 | GSE132182 | GEO
2017-09-25 | PXD005616 | Pride
2021-01-29 | PXD018193 | Pride
2023-11-11 | GSE237542 | GEO
2021-01-29 | PXD018298 | Pride
2024-05-22 | PXD048373 | Pride
2024-05-14 | GSE201396 | GEO
2023-11-11 | GSE237546 | GEO