Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA91873 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Six1, Six4 and Myogenin are transcription factors that are known to be required for skeletal myogenesis. Currently, very little is known about the genes targeted by Six1 and Six4. Gene expression profiling when one or both transcription factors were knock-down by siRNA was performed to identify genes affected by their absence. We also hypothesized that Six1 and Six4 can work in cooperation with the myogenic regulatory factor (MRFs) family of transcription factors, such as Myogenin. Therefore, we performed the same type of experiment where the myogenin was knocked-down by siRNA to identify genes that are possibly regulated by the Six1 or Six4 in conjunction with Myogenin. C2C12 Myoblasts were transfected with siRNA against Six1, Six4, Six1 with Six4, Myogenin, or control 24h before start of differentiation. The cells were allowed to differentiate in differentiation medium for 24h and were harvested for gene expression profiling. Four replicates per siRNA were performed.
2010-07-30 | E-GEOD-19967 | biostudies-arrayexpress
Project description:Six1, Six4 and Myogenin are transcription factors that are known to be required for skeletal myogenesis. Currently, very little is known about the genes targeted by Six1 and Six4. Gene expression profiling when one or both transcription factors were knock-down by siRNA was performed to identify genes affected by their absence. We also hypothesized that Six1 and Six4 can work in cooperation with the myogenic regulatory factor (MRFs) family of transcription factors, such as Myogenin. Therefore, we performed the same type of experiment where the myogenin was knocked-down by siRNA to identify genes that are possibly regulated by the Six1 or Six4 in conjunction with Myogenin.
2010-07-05 | GSE19967 | GEO
Project description:Gene Expression Profiling of siRNA Knock-Down of Six1, Six4 and Myogenin in C2C12
| PRJNA123701 | ENA
Project description:Identification of the gene targets of the SIX transcription factors in myogenic stem cells and in whole back muscles during murine fetal development Pax7 expression marks stem cells in developing skeletal muscles and adult satellite cells during homeostasis and muscle regeneration. The genetic determinants that control the entrance into the myogenic program and the appearance of PAX7+ cells during embryogenesis are poorly understood. SIX homeoproteins are encoded by the Sine oculis homeobox related Six1-Six6 genes in vertebrates. Six1, Six2, Six4 and Six5 are expressed in the muscle lineage. Here we tested the hypothesis that Six1 and Six4 could participate in the genesis of myogenic stem cells. We show that fewer PAX7+ cells occupy a satellite cell position between the myofiber and its associated basal lamina in Six1 and Six4 (s1s4KO) at E18. However, PAX7+ cells are detected in remaining muscle masses present in the epaxial region of the double mutant embryos and are able to divide and contribute to muscle growth. To further characterize the properties of s1s4KO PAX7+ cells, we analyzed their transcriptome and tested their properties after transplantation in adult regenerating tibialis anterior (TA) muscle. Mutant stem cells form hypotrophic myofibers that are not innervated but retain the ability to self-renew.
2020-10-07 | GSE159079 | GEO
Project description: Not available
| S-EPMC8784167 | biostudies-literature
Project description:The aim of the experiment was to compare the transcriptome of Six1-/-Six4-/- and control embryos in order to identify genes under the control of Six proteins at E18.5. E18.5 RNAs from back muscles of three SixdKO and two control embryos were hybridized on Affymetrix mouse genome 430A2.0 arrays (Affymetrix, Strasbourg - France).
2009-10-08 | E-MEXP-1848 | biostudies-arrayexpress
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes.
2009-05-20 | GSE16139 | GEO
Project description: Not available
| S-EPMC395764 | biostudies-literature