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SAMPLES (6)
mace:id
Technology # Array version
# SEVERAL # # SEVERAL
Affymetrix # HGU 133 Plus 2
Affymetrix # MGU 74 Av2
Affymetrix # MoGene V1.0st
Affymetrix # Mouse 430A
Affymetrix # Rhesus
Agilent # AGHUMAN
Agilent # AGMOUSE
Applied Biosystems # HGS V1
Applied Biosystems # HGS V2
Applied Biosystems # MGS V1
Applied Biosystems # MGS V2
Applied Biosystems # RGS V1
Genopole SXB # SXBH1
Genopole SXB # SXBH2
Genopole SXB # SXBH3
Genopole SXB # SXBM1
Genopole SXB # SXBM2
Genopole SXB # SXBM3
Illumina # HumanHT-12 V4.0
Illumina # HUMANWG6v3
Illumina # MouseWG-6 v2.0
Species
# SEVERAL
Cercocebus atys
Chlorocebus sabaeus
Homo sapiens
Macaca mulatta
Macaca Nemestrina
Mus musculus
Pan troglodytes
Rattus norvegicus
Organ
# OTHER
# SEVERAL
Adenoid
Adrenal gland
Bladder
Blood
Blood vessel
Brain
Bronchi
Cervix
Embryo
Esophagus
Gallblader
Heart
Hypotalamus
Intestine
Kidney
Larynx
Liver
Lung
Lymph node
Mammary gland
Mussle
Pancreas
Parathyroid
Penis
Pharynx
Pineal gland
Pituitary gland
Prostate
Salivary gland
Seminal vesicle
Skin
Spinal cord
Spleen
Stomach
Test
Thymus
Thyroid
Tonsil
Trachea
Ureter
Uterus
Vagina
Vas deferens
Tissue
# OTHER
# SEVERAL
Bone Marrow
Connective - Dense Irregular Tissue (Collagen)
Connective - Dense Regular Tissue (Collagen)
Connective - Dense Regular Tissue (Elastic)
Connective - Loose Tissue (Adipose)
Connective - Loose Tissue (Areolar)
Connective - Loose Tissue (Reticular)
Epithelium - Simple (Columnar)
Epithelium - Simple (Cuboidal)
Epithelium - Simple (Pseudostratified)
Epithelium - Simple (Squamous)
Epithelium - Stratified (Columnar / Cuboidal)
Epithelium - Stratified (Squamous: Keratinized)
Epithelium - Stratified (Squamous: NonKeratinized)
Fluid - Blood
Fluid - Lymph
Gland - Endocrine Glands
Gland - Exocrine Glands (Ducts and Tubules)
Muscle - Non-striated
Muscle - Striated (Cardiac)
Muscle - Striated (Skeletal)
Nervous - Nerves
Nervous - Neurons (Bipolar)
Nervous - Neurons (Multipolar)
Nervous - Neurons (Unipolar)
Nervous - Receptors
Placenta
Stem cells
Supportive - Cartilage (Elastic)
Supportive - Cartilage (Fibrocartilage)
Supportive - Cartilage (Hyaline)
Supportive - Osseous (Compact)
Supportive - Osseous (Spongey)
Physiopathology
# HEALTHY
# OTHER
# SEVERAL
apoptosis
autocrine signaling
differentiation
drug response
electric response
endocrine signaling
environemental response
homeostasis
immune response
mechanic response
necrosis
paracrine signaling
proliferation
Type
# OTHER
# SEVERAL
conditional knockout
drug stress
electric stress
environmental stress
ground state
immune stress
knockdown RNAi
knockout
mechanic stress
stable transfection
time course
transient transfection
Name
Attached file
download project data file ('.map')
Attached file (see:
ruid website
)
download project data file ('.map' RUID converted)
Attached file
download raw data files ('.zip')
Attached file
download annotation files ('.zip')
User name
Wolf-Dietrich Hardt
Email
hardt@micro.biol.ethz.ch
Phone / Fax number
+41446325143 / +41446321129
Location
ETH-Hönggerberg (Biology - Institut f. Mikrobiologie) - Wolfgang-Pauli-Str. 10 - 8093 Zürich, SWITZERLAND
Scientific description
Non-typhoidal Salmonella (NTS) infections are a major cause of diarrhea in humans. Acute symptoms cease rapidly, but some patients remain infectious by fecal pathogen-shedding for weeks or months (= 'asymptomatic excretor' state). The factors determining "asymptomatic pathogen excretion" are unclear. We analyzed the parameters involved in clearance of an acute NTS infection in mice. S. typhimurium (S.tmatt, sseD) recapitulated all key phases of the human disease, i.e. acute gut inflammation, cessation of symptoms, appearance of "asymptomatic excretors" and an adaptive, O-antigen-specific sIgA response protecting against gut inflammation in challenge infections. Mice lacking sIgA (TCRβδ-/-, JHT, IgA-/-, pIgR-/-) and "LCM-mice" harboring a defined microbiota permitting long-term S.tm excretion, revealed that the sIgA-response had little effect on pathogen-shedding by "asymptomatic excretors". In contrast, when exposed to a normal complex microbiota, LCM-mice efficiently limited pathogen-excretion. Thus, the microbiota is a critical factor in terminating NTS-infections and may offer new treatment approaches in humans.
Technical description
Total RNA was analyzed on ABI Mouse Whole Genome Arrays v2.0 (Applied Biosystems) as previously described (Eilebrecht et al. 2008). One single round of linear amplification was performed from 1mg of total RNA. cDNA synthesis, in vitro transcription, amplification, fragmentation, hybridization, staining, and scanning were performed as directed by the supplier. Raw data, after having removed the signals stemming from the different control spots as well as failed measurements, were once more median normalized in log2-space. Pairwise normalization and subtraction profile calculation in an everyone-against-everyone scheme was achieved using the NeONORM method with sensitivity parameter k set to 0.2 (Noth et al., 2006a). Significance of logarithmic base two foldchanges ("log2Q", "L") were determined based on a mixture lognormal distribution hypothesis (Noth et al., 2006b) of signal intensities using ANOVA. Multiple probes for a single gene, cross-reactivity of a single probe to several genes, as well as the resolution of probe-ID annotations was done according to the standards defined previously (Noth and Benecke, 2005). Gene Ontology (GO) annotations were analyzed using the Panther Protein Classification System (Thomas et al., 2003) (http://www.pantherdb.org) to identify functional annotations that were significantly enriched in the differentially expressed gene set when compared to the whole set of genes present on the ABI microarray. References Eilebrecht S*, Pellay FX*, Odenwälder P, Brysbaert G, Benecke BJ, Benecke A (2008) EBER2 RNA-induced transcriptome changes identify cellular processes likely targeted during Epstein Barr Virus infection. BMC Res. Notes. 1:100. Noth S, Brysbaert G, Pellay FX, Benecke A (2006b) High-sensitivity transcriptome data structure and implications for analysis and biologic interpretation. Genomics, Proteomics & Bioinformatics. 4:212-229. Noth S, Brysbaert G, Benecke A (2006a) Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false calls. Genomics, Proteomics & Bioinformatics. 4:90-109. Noth S, Benecke A (2005) Avoiding inconsistencies over time and tracking difficulties in Applied Biosystems AB1700(TM) / PANTHER(TM) probe-to-gene annotations. BMC Bioinformatics. 22;6:307. Thomas, P. D., Campbell, M. J., Kejariwal, A., Mi, H., Karlak, B., Daverman, R., Diemer, K., Muruganujan, A., and Narechania, A. (2003). PANTHER: A Library of Protein Families and Subfamilies Indexed by Function. Genome Res 13, 2129-2141.
Reference
Endt K, Stecher B, Chaffron S, Slack E, Tchitchek N, et al. (2010) The Microbiota Mediates Pathogen Clearance from the Gut Lumen after Non-Typhoidal Salmonella Diarrhea. PLoS Pathog 6(9): e1001097. doi:10.1371/journal.ppat.1001097