Longitudinal Analysis of Gene Expression in Porcine Skeletal Muscle After Post-Injection Local Injury

Ferré, Pierre; Liaubet, Laurence; Concordet, Didier; SanCristobal, Magali; Uro‐Coste, Emmanuelle; Tosser‐Klopp, Gwenola; Bonnet, Agnès; Toutain, Pierre‐Louis; Hatey, François; Lefebvre, Henri

doi:10.1007/s11095-007-9266-8

Cited by 31 publications

(33 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, Rad expression is upregulated in both developing and post-amputation de-differentiating muscle cells in the newt [33]. A similar regulation occurs in developing and regenerating muscle [20,24], as well as in denervated or injured muscle [20,27], and in vascular smooth muscle cells following balloon injury [21]. While the majority of Rad transcriptional regulation has been reported in muscle, other intriguing, but unexplored observations have emerged from other cell types.…”

Section: Transcriptional Regulationmentioning

confidence: 95%

“…Among the most unique features of RGK proteins is their ability to be transcriptionally regulated [3,5,6,11,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] (Table 2). Indeed, Gem/Kir was discovered as a gene upregulated in human T cells after stimulation with mitogens [5] or in BCR-Abl-transformed B cells [11].…”

Section: Transcriptional Regulationmentioning

confidence: 99%

“…The other RGK subfamily members also demonstrate tissue and molecule-specific transcriptional regulation [3,4,6,20,21,24,25,27,[30][31][32][33][34][35]. Rem is expressed predominantly in cardiac muscle, but also at more modest levels in lung, kidney, and skeletal muscle [3]; Rem2 is highly expressed in the brain and kidney, but also in neuroendocrine tissues [4]; Rad is found in abundance in cardiac and skeletal muscle [6]; while Gem/Kir is found in a diverse set of tissues, including myeloid cells, kidney, liver, and lung [5].…”

Section: Transcriptional Regulationmentioning

confidence: 99%

See 2 more Smart Citations

The RGK family of GTP-binding proteins: Regulators of voltage-dependent calcium channels and cytoskeleton remodeling

Correll¹,

Pang²,

Niedowicz³

et al. 2008

Cellular Signalling

100

136

View full text Add to dashboard Cite

RGK proteins constitute a novel subfamily of small Ras-related proteins that function as potent inhibitors of voltage-dependent (VDCC) Ca 2+ channels and regulators of actin cytoskeletal dynamics. Within the larger Ras superfamily, RGK proteins have distinct regulatory and structural characteristics, including nonconservative amino acid substitutions within regions known to participate in nucleotide binding and hydrolysis and a C-terminal extension that contains conserved regulatory sites which control both subcellular localization and function. RGK GTPases interact with the VDCC β-subunit (Ca V β) and inhibit Rho/Rho kinase signaling to regulate VDCC activity and the cytoskeleton respectively. Binding of both calmodulin and 14-3-3 to RGK proteins, and regulation by phosphorylation controls cellular trafficking and the downstream signaling of RGK proteins, suggesting that a complex interplay between interacting protein factors and trafficking contribute to their regulation.

show abstract

Section: Transcriptional Regulationmentioning

confidence: 95%

Section: Transcriptional Regulationmentioning

confidence: 99%

Section: Transcriptional Regulationmentioning

confidence: 99%

See 1 more Smart Citation

The RGK family of GTP-binding proteins: Regulators of voltage-dependent calcium channels and cytoskeleton remodeling

Correll¹,

Pang²,

Niedowicz³

et al. 2008

Cellular Signalling

100

136

View full text Add to dashboard Cite

show abstract

“…The multi-tissue library was used to allow a proper normalization of the data. PCR products were spotted in duplicate on two separate fields of the same nylon membrane (18!72 mm, Immobilon-NYC, Millipore) as described (Ferre et al 2007). A detailed description of the resulting micro-array platform is available in the Gene Expression Omnibus database (www.ncbi.nlm.nih.gov/geo).…”

Section: Micro-arrays Design and Hybridizationmentioning

confidence: 99%

In vivo gene expression in granulosa cells during pig terminal follicular development

Bonnet¹,

Cao²,

SanCristobal³

et al. 2008

Reproduction

View full text Add to dashboard Cite

Ovarian antral follicular development is clearly dependent on pituitary gonadotrophins FSH and LH. Although the endocrine mechanism that controls ovarian folliculogenesis leading to ovulation is quite well understood, the detailed mechanisms and molecular determinants in the different follicular compartments remain to be clarified. The aim of this study was to identify the genes differentially expressed in pig granulosa cells along the terminal ovarian follicle growth, to gain a comprehensive view of these molecular mechanisms. First, we developed a specific micro-array using cDNAs from suppression subtractive hybridization libraries (345 contigs) obtained by comparison of three follicle size classes: small, medium and large antral healthy follicles. In a second step, a transcriptomic analysis using cDNA probes from these three follicle classes identified 79 differentially expressed transcripts along the terminal follicular growth and 26 predictive genes of size classes. The differential expression of 18 genes has been controlled using real-time PCR experiments validating the micro-array analysis. Finally, the integration of the data using Ingenuity Pathways Analysis identified five gene networks providing descriptive elements of the terminal follicular development. Specifically, we observed: (1) the down-expression of ribosomal protein genes, (2) the genes involved in lipid metabolism and (3) the down-expression of cell morphology and ion-binding genes. In conclusion, this study gives new insight into the gene expression during pig terminal follicular growth in vivo and suggested, in particular, a morphological change in pig granulosa cells accompanying terminal follicular growth. Reproduction (2008) 136 211-224

show abstract

“…Microarray description. Spotting process, hybridisation conditions and image quantification have been detailed by Ferré et al (2007). Briely, PCR products of cDNA inserts were spotted onto nylon membranes.…”

Section: Datamentioning

confidence: 99%

A pilot study on transcriptome data analysis of folliculogenesis in pigs

Tosser‐Klopp

Cao

Bonnet

et al. 2009

Animal

View full text Add to dashboard Cite

Three different stages of pig antral follicles have been studied in a granulosa-cell transcriptome analysis on nylon microarrays (1152 clones). The data have been generated from seven RNA follicle pools and several technical replicates were made. The objective of this paper was to state the feasibility of a transcriptomic protocol for the study of folliculogenesis in the pig. A statistical analysis was chosen, relying on the linear mixed model (LMM) paradigm. Low variability within technical replicates was hence checked with a LMM. Relevant genes that might be involved in the studied process were then selected. For the most significant genes, statistical methods such as principal component analysis and unsupervised hierarchical clustering were applied to assess their relevance, and a random forest analysis proved their predictive value. The selection of genes was consistent with previous studies and also allowed the identification of new genes whose role in pig folliculogenesis will be further investigated.

show abstract

Longitudinal Analysis of Gene Expression in Porcine Skeletal Muscle After Post-Injection Local Injury

Abstract: Our data demonstrate that several pathways are involved in post-injection muscle injury, and that necrosis, inflammation and regeneration are not sequential but occur in parallel.

Cited by 31 publications

References 34 publications

The RGK family of GTP-binding proteins: Regulators of voltage-dependent calcium channels and cytoskeleton remodeling

The RGK family of GTP-binding proteins: Regulators of voltage-dependent calcium channels and cytoskeleton remodeling

In vivo gene expression in granulosa cells during pig terminal follicular development

A pilot study on transcriptome data analysis of folliculogenesis in pigs

Contact Info

Product

Resources

About