Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Regeneration occurs in the CNS of CAST/Ei mice as a consequence of enhanced Activin signaling

ABSTRACT: We screened nine genetically diverse inbred mouse strains for differences in axonal growth of adult dorsal root ganglion (DRG) neurons on CNS myelin. Naïve DRG neurite outgrowth on myelin was very limited, but preconditioning the neurons by a prior sciatic nerve crush increased axonal growth substantially across all strains, with by far the greatest change in neurons from CAST/Ei mice. Three independent in vivo CNS injury models revealed greater capacity for CNS axonal regeneration in CAST/Ei than C57BL/6 mice. Full-genome expression profiling of naïve and pre-conditioned DRGs across all strains revealed Activin-βA (Inhba) as the transcript whose expression most closely correlated with axonal growth on myelin. In vitro and in vivo gain- and loss-of-function experiments confirmed that Activin promotes axonal growth in the CNS. Substantial regeneration is possible, therefore, in the injured mammalian CNS when Activin signaling is intrinsically high, as in CAST/Ei or when extrinsically modulated in other strains. 9 strains, 4 replicates per strain, 2 conditions (naïve and axotomy) = 72 samples. 2 samples were excluded because technical outliers (AJ_AX5D_1 and AJ_NAIVE_4 excluded from the normalized data but included in the raw data)

ORGANISM(S): Mus musculus

SUBMITTER: Giovanni Coppola

PROVIDER: E-GEOD-55424 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Background: Gene expression profiling has been used extensively within breast cancer research. Patient matched transcriptomic studies of tumour samples before and after treatment offer great potential and have been initiated, but tend not to include a control group. Here we examine gene expression changes between patient-matched core biopsies and surgical resection samples in the absence of treatment, to consider sampling methods and tumour heterogeneity. Patients and Methods: Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired baseline and surgically excised breast tumour samples obtained from women receiving no treatment prior to surgery. Results: Patient-matched sample pairs had significantly higher correlations than samples between different individuals, demonstrating that tumour heterogeneity and intra-tumour differences are less prominent than inter-tumour/patient differences. Perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval, despite a lack of treatment. 50 genes were significantly differentially expressed (48 up, 2 down; FDR 0.05) in a manner that appears independent of both subtype and the sampling-interval length. Gene set enrichment analysis using four independent treated datasets has implicated the tumour sampling method as the likely cause of these expression changes which include increases in early growth response genes such as EGR1, 2 and 3 along with DUSP1 and FOS. Our data does not support the idea that there is a significant wounding or immune response. Conclusion: This is the largest cohort of patient-matched transcriptome profiling of tumours from patients receiving no treatment between diagnosis and surgery to date. It has revealed that consistent changes in gene expression do exist between diagnostic core biopsy and the surgical excision sample. We have confirmed these findings in a number of published breast cancer datasets. Ultimately, researchers should be aware of the potential for the tumour sampling method to introduce a confounding factor in future neoadjuvant studies. 37 paired patient-matched whole-transcriptome profiled primary breast tumours from patients receiving no treatment between diagnosis and surgery. Superseries is a product of two integrated individual batches.

Dataset Information

Regeneration occurs in the CNS of CAST/Ei mice as a consequence of enhanced Activin signaling

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets