GEO DataSets

(Submitter supplied) Anterior cruciate ligament (ACL) tears occur in isolation or in combination with other intra-articular injuries such as meniscus tears. The impact of injury pattern on the molecular biology of the injured ACL is unknown. Here, we tested the hypothesis that the biological response of the ACL to injury varies based on the presence or absence of concomitant meniscus tear. RNA-seq analysis was performed on 28 ACL tears remnants (12 isolated, 16 combined). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21290

28 Samples

Download data: TXT

(Submitter supplied) The anterior cruciate ligament (ACL) is an essential stabilizer of the tibiofemoral articulation. ACL tears often lead to functional instability and are associated with an increased risk for osteoarthritis. The healing potential of the injured ACL is poorly understood and is considered to be limited. Transcriptome-wide expression profiles of 24 human ACL remnants recovered at the time of surgical reconstruction were analyzed utilizing the Agilent human 8x60K microarray platform. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

24 Samples

Download data: TXT

(Submitter supplied) Injury to anterior cruciate ligament (ACL) is common in young individuals and a frequent cause of functional instability and early onset of osteoarthritis. The healing potential of an injured ACL is known to decay over time. The molecular origin of this healing deficiency largely remains elusive but plausibly involves gene transcripts associated with tissue healing. To explore this possibility, we set out to identify transcript expression differences in injured ACL remnants recovered at the time of surgical reconstruction, via microarray (n=24) and RNA-seq (n=8) technologies in transcriptome profiling. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

8 Samples

Download data: TXT

(Submitter supplied) Objectives: To identify novel gene transcripts and biological processes in meniscus from patients with and without osteoarthritis (OA). Methods: We used microarrays to identify gene transcripts differentially expressed in meniscus tissues obtained from OA and non-OA patients (N=12 each). Real-time PCR was performed on selected gene transcripts. Biological processes and gene networking was examined computationally. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL20844

24 Samples

Download data: TXT

(Submitter supplied) In this study, we have tested the variation in gene expression signatures in human injured meniscus with age and degree of chondrosis in the knee. We found several genes that were differentially regulated with each of these factors and they represent important biological pathways in osteoarthritis research.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

12 Samples

Download data: TXT

(Submitter supplied) To explore the molecular mechanisms of meniscal degeneration after resection of anterior cruciate ligament and lateral collateral ligament, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential role in the development of meniscal degeneration. The anterior cruciate ligament (ACL) and lateral collateral ligament (LCL) of the right rear limbs of Wuzhishan minipig was resected at the same time, and the left rear limbs was sham operated. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL16571

14 Samples

Download data: TXT