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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
Arndt Benecke
Email
arndt@ihes.fr
Phone / Fax number
+33160926665 / +33160926609
Location
Institut des Hautes Etudes Scientifiques (Integrative Biology) - 35, route de Chartres - 91440 Bures sur Yvette, France
Scientific description
The TAR structure of the nascent HIV-1 transcript is critically involved in the recruitment of inactive P-TEFb to the promoter proximal paused RNA Polymerase II. The viral transactivator Tat is responsible for subsequent P-TEFb activation in order to start efficient viral transcription elongation. In the absence of Tat, e.g. during latency or in early stages of HIV transcription, TAR mediates an interaction of P-TEFb with its inhibitor HEXIM1, keeping P-TEFb in its inactive form. In this study, we address the function of HIV-1 TAR in the absence of Tat by analyzing consequences of a HIV-1 TAR overexpression on host cellular gene expression. Therefore, we designed an RNA chimera of Epstein Barr viral EBER2 RNA and HIV-1 TAR, assuring a robust overexpression of TAR. In HEK293 cells such an overexpression results in the differential expression of more than 800 human genes of which a significant proportion is involved in the suppression of cellular immune responses, among these a significant set of 7SK-responsive P-TEFb target genes. Our findings identify a novel role for HIV-1 TAR in the absence of Tat consisting in the interference with host cellular immune responses by targeting 7SK RNA-mediated gene expression and P-TEFb inactivation.
Technical description
For microarray analyses, RNA amplification, labeling, hybridization and detection were performed following the protocols supplied by Applied Biosystems using the corresponding kits (Applied Biosystems, ProdNo: 4339628 and 4336875). The data obtained were analyzed as described previously [18, 31]. Briefly, the raw data were quality controlled [43], NeoNORM normalized using k=0.2 [44], and then analyzed as outlined in [45, 46, 47]. For each condition, three biological replicates were merged and compared to the merged signals of three biological replicates of the corresponding control condition. Canonical pathway enrichment studies were performed using Ingenuity Pathway Analysis® software (Ingenuity® Systems, Qiagen) were performed as recommended by the manufacturer. References: [18] Eilebrecht, S., Brysbaert, G., Wegert, T., Urlaub, H., Benecke, B.J. & Benecke, A. (2011) 7SK small nuclear RNA directly affects HMGA1 function in transcription regulation. Nucleic Acids Res 39: 2057-2072. [31] Howe, J.G. & Shu, M.D. (1989) Epstein-Barr virus small RNA (EBER) genes: unique transcription units that combine RNA polymerase II and III promoter elements. Cell 57: 825-834. [43] Brysbaert, G., Pellay, F.X., Noth, S. & Benecke, A. (2010) Quality assessment of transcriptome data using intrinsic statistical properties. Genomics Proteomics Bioinformatics 8: 57-71. [44] Noth, S., Brysbaert, G. & Benecke, A. (2006) 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. [45] Noth, S. & Benecke, A. (2005) Avoiding inconsistencies over time and tracking difficulties in Applied Biosystems AB1700/Panther probe-to-gene annotations. BMC Bioinformatics 6: 307. [46] Noth, S., Brysbaert, G., Pellay, F.X. & Benecke, A. (2006) High-sensitivity transcriptome data structure and implications for analysis and biologic interpretation. Genomics Proteomics Bioinformatics 4: 212-229. [47] Benecke, A. (2003) Genomic plasticity and information processing by transcription coregulators. ComPlexUs 1: 65-76.
Reference
Sebastian Eilebrecht*, Bernd-Joachim Benecke, Arndt G. Benecke* (2017) Latent HIV-1 TAR targets 7SK-RNA-mediated immune responses in the absence of Tat.