Evidence map›Paper›PMID 17953763›Full record

ArticleBMC bioinformatics2007

Bioinformatic identification of novel putative photoreceptor specific cis-elements.

Charles G Danko, Vera A McIlvain, Maochun Qin, Barry E Knox, Arkady M Pertsov

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Charles G DankoDepartment of Pharmacology, SUNY Upstate Medical University, Syracuse, NY, USA. dankoc@gmail.com
Vera A McIlvain
Maochun Qin
Barry E Knox
Arkady M Pertsov

Funding

STRUCTURE/FUNCTION OF SHORT WAVELENGTH VISUAL PIGMENTSR01EY011256 · NEI · UPSTATE MEDICAL UNIVERSITY · PI KNOX, BARRY E · 1997 to 2011
$2.6M
MOLECULAR MECHANISMS OF PHOTORECEPTOR FUNCTIONR01EY012975 · NEI · UPSTATE MEDICAL UNIVERSITY · PI KNOX, BARRY E · 2000 to 2010
$2.3M
Transcriptional regulation of photoreceptor developmentF32EY016644 · NEI · UPSTATE MEDICAL UNIVERSITY · PI MCILVAIN, VERA A · 2006 to 2008
$151k
NEI NIH HHS EY016644NEI NIH HHS EY11256NEI NIH HHS EY12975NEI NIH HHS F32 EY016644NEI NIH HHS R01 EY011256NEI NIH HHS R01 EY012975NHLBI NIH HHS 5R01HL07163504
6 · The paper itself

Abstract

backgroundCell specific gene expression is largely regulated by different combinations of transcription factors that bind cis-elements in the upstream promoter sequence. However, experimental detection of cis-elements is difficult, expensive, and time-consuming. This provides a motivation for developing bioinformatic methods to identify cis-elements that could prioritize future experimental studies. Here, we use motif discovery algorithms to predict transcription factor binding sites involved in regulating the differences between murine rod and cone photoreceptor populations.

resultsTo identify highly conserved motifs enriched in promoters that drive expression in either rod or cone photoreceptors, we assembled a set of murine rod-specific, cone-specific, and non-photoreceptor background promoter sequences. These sets were used as input to a newly devised motif discovery algorithm called Iterative Alignment/Modular Motif Selection (IAMMS). Using IAMMS, we predicted 34 motifs that may contribute to rod-specific (19 motifs) or cone-specific (15 motifs) expression patterns. Of these, 16 rod- and 12 cone-specific motifs were found in clusters near the transcription start site. New findings include the observation that cone promoters tend to contain TATA boxes, while rod promoters tend to be TATA-less (exempting Rho and Cnga1). Additionally, we identify putative sites for IL-6 effectors (in rods) and RXR family members (in cones) that can explain experimental data showing changes to cell-fate by activating these signaling pathways during rod/cone development. Two of the predicted motifs (NRE and ROP2) have been confirmed experimentally to be involved in cell-specific expression patterns. We provide a full database of predictions as additional data that may contain further valuable information. IAMMS predictions are compared with existing motif discovery algorithms, DME and BioProspector. We find that over 60% of IAMMS predictions are confirmed by at least one other motif discovery algorithm.

conclusionWe predict novel, putative cis-elements enriched in the promoter of rod-specific or cone-specific genes. These are candidate binding sites for transcription factors involved in maintaining functional differences between rod and cone photoreceptor populations.

Indexed as

AnimalsBase SequenceComputational BiologyConserved SequenceMiceMolecular Sequence DataPhotoreceptor CellsPromoter Regions, GeneticProteomeRegulatory Elements, TranscriptionalSequence Analysis, DNASequence Homology, Nucleic AcidTranscription FactorsProteomeTranscription Factors

Identifiers

PMID17953763
PMCPMC2225425

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.