RPE dataset specifications

Information


Unique identifier OMICS_12108
Name RPE dataset
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Loris Nanni

Publication for RPE dataset

RPE dataset citations

 (2)
library_books

ATAC Seq analysis reveals a widespread decrease of chromatin accessibility in age related macular degeneration

2018
Nat Commun
PMCID: 5893535
PMID: 29636475
DOI: 10.1038/s41467-018-03856-y

[…] in RPE or retina, we filtered out low expressed TFs in both normal and AMD tissues based on microarray data from GSE29801. We thus identified 485 TF motifs in the retina dataset and 521 motifs in the RPE dataset. We first scanned all potential TF binding motifs (P value < 1.0−4) across the human genome using FIMO. We used DNase2TF to identify all potential functional TF binding site using footprin […]

library_books

Predicted molecular signaling guiding photoreceptor cell migration following transplantation into damaged retina

2016
Sci Rep
PMCID: 4776098
PMID: 26935401
DOI: 10.1038/srep22392

[…] s whose resolved mean intensity values are significantly greater than their negative FAC-sorted analogue by a t-test p-value of 0.05, NE extracellular matrix (ECM) molecules resolved from the NSR and RPE dataset were then matched with NE plasma membrane receptors from the rod and cone photoreceptor microarray dataset. Matched pairs included – 1) rod receptor genes matched with ECM genes from NSR ( […]

RPE dataset institution(s)
Department of Information Engineering, University of Padua, Padua, Italy; Department of Electronics and Communications Engineering, Tampere University of Technology, BioMediTech, Tampere, Finland; University of Tampere, BioMediTech, Tampere, Finland
RPE dataset funding source(s)
This work was financially supported by the Finnish Funding Agency for Technology and Innovation and the Academy of Finland (grant numbers 252225, 218050 and 137801).

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