-
Something wrong with this record ?
In silico target network analysis of de novo-discovered, tick saliva-specific microRNAs reveals important combinatorial effects in their interference with vertebrate host physiology
M. Hackenberg, D. Langenberger, A. Schwarz, J. Erhart, M. Kotsyfakis,
Language English Country United States
Document type Journal Article
NLK
Free Medical Journals
from 1995 to 6 months ago
PubMed Central
from 1995 to 1 year ago
Europe PubMed Central
from 1995 to 1 year ago
Open Access Digital Library
from 1995-03-01
- MeSH
- Gene Regulatory Networks * MeSH
- Tick Infestations genetics parasitology MeSH
- Host-Parasite Interactions genetics MeSH
- Ixodes genetics MeSH
- MicroRNAs analysis genetics MeSH
- Vertebrates parasitology MeSH
- Computer Simulation MeSH
- Salivary Glands metabolism MeSH
- Saliva chemistry metabolism MeSH
- Transcriptome * MeSH
- High-Throughput Nucleotide Sequencing methods MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
The hard tick Ixodes ricinus is an important disease vector whose salivary secretions mediate blood-feeding success on vertebrate hosts, including humans. Here we describe the expression profiles and downstream analysis of de novo-discovered microRNAs (miRNAs) expressed in I. ricinus salivary glands and saliva. Eleven tick-derived libraries were sequenced to produce 67,375,557 Illumina reads. De novo prediction yielded 67 bona fide miRNAs out of which 35 are currently not present in miRBase. We report for the first time the presence of microRNAs in tick saliva, obtaining furthermore molecular indicators that those might be of exosomal origin. Ten out of these microRNAs are at least 100 times more represented in saliva. For the four most expressed microRNAs from this subset, we analyzed their combinatorial effects upon their host transcriptome using a novel in silico target network approach. We show that only the inclusion of combinatorial effects reveals the functions in important pathways related to inflammation and pain sensing. A control set of highly abundant microRNAs in both saliva and salivary glands indicates no significant pathways and a far lower number of shared target genes. Therefore, the analysis of miRNAs from pure tick saliva strongly supports the hypothesis that tick saliva miRNAs can modulate vertebrate host homeostasis and represents the first direct evidence of tick miRNA-mediated regulation of vertebrate host gene expression at the tick-host interface. As such, the herein described miRNAs may support future drug discovery and development projects that will also experimentally question their predicted molecular targets in the vertebrate host.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc17030833
- 003
- CZ-PrNML
- 005
- 20171103104605.0
- 007
- ta
- 008
- 171025s2017 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1261/rna.061168.117 $2 doi
- 035 __
- $a (PubMed)28473453
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Hackenberg, Michael $u Computational Genomics and Bioinformatics Group, Genetics Department, University of Granada, 18071 Granada, Spain. Laboratorio de Bioinformática, Centro de Investigación Biomédica, PTS, 18100 Granada, Spain.
- 245 10
- $a In silico target network analysis of de novo-discovered, tick saliva-specific microRNAs reveals important combinatorial effects in their interference with vertebrate host physiology / $c M. Hackenberg, D. Langenberger, A. Schwarz, J. Erhart, M. Kotsyfakis,
- 520 9_
- $a The hard tick Ixodes ricinus is an important disease vector whose salivary secretions mediate blood-feeding success on vertebrate hosts, including humans. Here we describe the expression profiles and downstream analysis of de novo-discovered microRNAs (miRNAs) expressed in I. ricinus salivary glands and saliva. Eleven tick-derived libraries were sequenced to produce 67,375,557 Illumina reads. De novo prediction yielded 67 bona fide miRNAs out of which 35 are currently not present in miRBase. We report for the first time the presence of microRNAs in tick saliva, obtaining furthermore molecular indicators that those might be of exosomal origin. Ten out of these microRNAs are at least 100 times more represented in saliva. For the four most expressed microRNAs from this subset, we analyzed their combinatorial effects upon their host transcriptome using a novel in silico target network approach. We show that only the inclusion of combinatorial effects reveals the functions in important pathways related to inflammation and pain sensing. A control set of highly abundant microRNAs in both saliva and salivary glands indicates no significant pathways and a far lower number of shared target genes. Therefore, the analysis of miRNAs from pure tick saliva strongly supports the hypothesis that tick saliva miRNAs can modulate vertebrate host homeostasis and represents the first direct evidence of tick miRNA-mediated regulation of vertebrate host gene expression at the tick-host interface. As such, the herein described miRNAs may support future drug discovery and development projects that will also experimentally question their predicted molecular targets in the vertebrate host.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a počítačová simulace $7 D003198
- 650 12
- $a genové regulační sítě $7 D053263
- 650 _2
- $a vysoce účinné nukleotidové sekvenování $x metody $7 D059014
- 650 _2
- $a interakce hostitele a parazita $x genetika $7 D006790
- 650 _2
- $a klíště $x genetika $7 D018884
- 650 _2
- $a mikro RNA $x analýza $x genetika $7 D035683
- 650 _2
- $a sliny $x chemie $x metabolismus $7 D012463
- 650 _2
- $a slinné žlázy $x metabolismus $7 D012469
- 650 _2
- $a infestace klíšťaty $x genetika $x parazitologie $7 D013984
- 650 12
- $a transkriptom $7 D059467
- 650 _2
- $a obratlovci $x parazitologie $7 D014714
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Langenberger, David $u Bioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107 Leipzig, Germany. ecSeq Bioinformatics, D-04275 Leipzig, Germany.
- 700 1_
- $a Schwarz, Alexandra $u Biology Center of the Czech Academy of Sciences, 37005 Budweis, Czech Republic.
- 700 1_
- $a Erhart, Jan $u Biology Center of the Czech Academy of Sciences, 37005 Budweis, Czech Republic.
- 700 1_
- $a Kotsyfakis, Michail $u Biology Center of the Czech Academy of Sciences, 37005 Budweis, Czech Republic.
- 773 0_
- $w MED00006007 $t RNA (New York, N.Y.) $x 1469-9001 $g Roč. 23, č. 8 (2017), s. 1259-1269
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/28473453 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20171025 $b ABA008
- 991 __
- $a 20171103104659 $b ABA008
- 999 __
- $a ok $b bmc $g 1254426 $s 991860
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2017 $b 23 $c 8 $d 1259-1269 $e 20170504 $i 1469-9001 $m RNA $n RNA $x MED00006007
- LZP __
- $a Pubmed-20171025