Open Access Research article

Response of the goat mammary gland to infection with Staphylococcus aureus revealed by gene expression profiling in milk somatic and white blood cells

Paola Cremonesi1, Rossana Capoferri2*, Giuliano Pisoni3, Marcello Del Corvo4, Francesco Strozzi4, Rachel Rupp5, Hugues Caillat5, Paola Modesto36, Paolo Moroni37, John L Williams4, Bianca Castiglioni1 and Alessandra Stella14

Author Affiliations

1 Istituto di Biologia e Biotecnologia Agraria, Consiglio Nazionale delle Ricerche, via Einstein, Lodi, 26900, Italy

2 IDRA-LAB Istituto Sperimentale Italiano “L. Spallanzani”, via Einstein, Lodi, 26900, Italy

3 Dipartimento di Scienze Veterinarie per la Salute, la Produzione Animale e la Sicurezza Alimentare, Università degli Studi di Milano, via Celoria 10, Milano, 20133, Italy

4 Parco Tecnologico Padano, via Einstein, Lodi, 26900, Italy

5 INRA, UR631, Station d’Amélioration Génétique des Animaux, Castanet-Tolosan, F-31326, France

6 Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta, via Bologna 148, Torino, Italy

7 Quality Milk Production Services, Cornell University, 240 Farrier Road, Ithaca, NY, 14853, USA

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BMC Genomics 2012, 13:540  doi:10.1186/1471-2164-13-540

Published: 9 October 2012

Additional files

Additional file 1:

Significativity of the differential cell counts analysis calculated for each group of goat (HSCS and LSCS) at different time points. (XLS 25 kb)

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Additional file 2:

List of the differentially expressed genes between T4 and T0 in milk samples. Data were extracted and loaded into R software using the Limma analysis package from Bioconductor and the signal intensities were processed and normalized using standard procedures. Genes were considered as differentially expressed if p value < 0.01 and log2 fold change > 1.5.

Format: XLS Size: 157KB Download file

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Additional file 3:

List of the differentially expressed genes between T5 and T0 in milk samples. Data were extracted and loaded into R software using the Limma analysis package from Bioconductor and the signal intensities were processed and normalized using standard procedures. Genes were considered as differentially expressed if p value < 0.01 and log2 fold change > 1.5.

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Additional file 4:

Most significant affected IPA canonical pathways. The most significant pathways are: MIF-mediated Glucocorticoid Regulation, MIF Regulation of Innate Immunity, NF-kB Signalling, IL-10 Signalling and Hypoxia Signalling in Cardiovascular System for T4 and Production of Nitric Oxide and Reactive Oxygen Species in Macrophages, LXR/RXR Activation, Toll-like Receptor Signalling, Acute Phase Response Signalling and MIF-mediated Glucocorticoid Regulation for T5.

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Additional file 5:

Role of pattern recognition receptors in recognition of bacteria and viruses pathway. Canonical pathway performed with IPA Knowledge Base.

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Additional file 6:

Oligonucleotide sequences and results for milk samples q-PCR. The sequences of the couples of primers are listed in the table with q-PCR results.

Format: XLS Size: 141KB Download file

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Additional file 7:

Oligonucleotide sequences and results for blood samples q-PCR. The sequences of the couples of primers are listed in the table with q-PCR results.

Format: XLS Size: 93KB Download file

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Open Data