Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse
Identifieur interne : 000D81 ( Main/Exploration ); précédent : 000D80; suivant : 000D82Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse
Auteurs : Faten A. Taki ; Xiaoping Pan ; Baohong Zhang [États-Unis]Source :
- Journal of Cellular Physiology [ 0021-9541 ] ; 2015-12.
Abstract
Just like Matryoshka dolls, biological systems follow a hierarchical order that is based on dynamic bidirectional communication among its components. In addition to the convoluted inter‐relationships, the complexity of each component spans several folds. Therefore, it becomes rather challenging to investigate phenotypes resulting from these networks as it requires the integration of reductionistic and holistic approaches. One dynamic system is the transcriptome which comprises a variety of RNA species. Some, like microRNAs, have recently received a lot of attention. miRNAs are very pleiotropic and have been considered as therapeutic and diagnostic candidates in the biomedical fields. In this review, we survey miRNA profiles in response to drugs of abuse (DA) using 118 studies. After providing a summary of miRNAs related to substance use disorders (SUD), general patterns of miRNA signatures are compared among studies for single or multiple drugs of abuse. Then, current challenges and drawbacks in the field are discussed. Finally, we provide support for considering miRNAs as a chaotic system in normal versus disrupted states particularly in SUD and propose an integrative approach for studying and analyzing miRNA data. J. Cell. Physiol. 230: 2857–2868, 2015. © 2015 Wiley Periodicals, Inc.
Url:
DOI: 10.1002/jcp.25037
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000955
- to stream Istex, to step Curation: 000949
- to stream Istex, to step Checkpoint: 000101
- to stream Main, to step Merge: 000D82
- to stream Main, to step Curation: 000D81
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse</title>
<author><name sortKey="Taki, Faten A" sort="Taki, Faten A" uniqKey="Taki F" first="Faten A." last="Taki">Faten A. Taki</name>
</author>
<author><name sortKey="Pan, Xiaoping" sort="Pan, Xiaoping" uniqKey="Pan X" first="Xiaoping" last="Pan">Xiaoping Pan</name>
</author>
<author><name sortKey="Zhang, Baohong" sort="Zhang, Baohong" uniqKey="Zhang B" first="Baohong" last="Zhang">Baohong Zhang</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:4DAA3AAA69E3645298089B3AD2E243783F637010</idno>
<date when="2015" year="2015">2015</date>
<idno type="doi">10.1002/jcp.25037</idno>
<idno type="url">https://api.istex.fr/ark:/67375/WNG-T4CFZ60S-R/fulltext.pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000955</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000955</idno>
<idno type="wicri:Area/Istex/Curation">000949</idno>
<idno type="wicri:Area/Istex/Checkpoint">000101</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000101</idno>
<idno type="wicri:doubleKey">0021-9541:2015:Taki F:revisiting:chaos:theorem</idno>
<idno type="wicri:Area/Main/Merge">000D82</idno>
<idno type="wicri:Area/Main/Curation">000D81</idno>
<idno type="wicri:Area/Main/Exploration">000D81</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main">Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse</title>
<author><name sortKey="Taki, Faten A" sort="Taki, Faten A" uniqKey="Taki F" first="Faten A." last="Taki">Faten A. Taki</name>
<affiliation><wicri:noCountry code="subField">Greenville</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Pan, Xiaoping" sort="Pan, Xiaoping" uniqKey="Pan X" first="Xiaoping" last="Pan">Xiaoping Pan</name>
<affiliation><wicri:noCountry code="subField">Greenville</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Zhang, Baohong" sort="Zhang, Baohong" uniqKey="Zhang B" first="Baohong" last="Zhang">Baohong Zhang</name>
<affiliation></affiliation>
<affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country>
<placeName><region type="state">Caroline du Nord</region>
</placeName>
<wicri:cityArea>Correspondence to: Dr. Baohong Zhang, Department of Biology, East Carolina University, Greenville</wicri:cityArea>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j" type="main">Journal of Cellular Physiology</title>
<title level="j" type="alt">JOURNAL OF CELLULAR PHYSIOLOGY</title>
<idno type="ISSN">0021-9541</idno>
<idno type="eISSN">1097-4652</idno>
<imprint><biblScope unit="vol">230</biblScope>
<biblScope unit="issue">12</biblScope>
<biblScope unit="page" from="2857">2857</biblScope>
<biblScope unit="page" to="2868">2868</biblScope>
<biblScope unit="page-count">12</biblScope>
<date type="published" when="2015-12">2015-12</date>
</imprint>
<idno type="ISSN">0021-9541</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0021-9541</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Just like Matryoshka dolls, biological systems follow a hierarchical order that is based on dynamic bidirectional communication among its components. In addition to the convoluted inter‐relationships, the complexity of each component spans several folds. Therefore, it becomes rather challenging to investigate phenotypes resulting from these networks as it requires the integration of reductionistic and holistic approaches. One dynamic system is the transcriptome which comprises a variety of RNA species. Some, like microRNAs, have recently received a lot of attention. miRNAs are very pleiotropic and have been considered as therapeutic and diagnostic candidates in the biomedical fields. In this review, we survey miRNA profiles in response to drugs of abuse (DA) using 118 studies. After providing a summary of miRNAs related to substance use disorders (SUD), general patterns of miRNA signatures are compared among studies for single or multiple drugs of abuse. Then, current challenges and drawbacks in the field are discussed. Finally, we provide support for considering miRNAs as a chaotic system in normal versus disrupted states particularly in SUD and propose an integrative approach for studying and analyzing miRNA data. J. Cell. Physiol. 230: 2857–2868, 2015. © 2015 Wiley Periodicals, Inc.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Caroline du Nord</li>
</region>
</list>
<tree><noCountry><name sortKey="Pan, Xiaoping" sort="Pan, Xiaoping" uniqKey="Pan X" first="Xiaoping" last="Pan">Xiaoping Pan</name>
<name sortKey="Taki, Faten A" sort="Taki, Faten A" uniqKey="Taki F" first="Faten A." last="Taki">Faten A. Taki</name>
</noCountry>
<country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Zhang, Baohong" sort="Zhang, Baohong" uniqKey="Zhang B" first="Baohong" last="Zhang">Baohong Zhang</name>
</region>
<name sortKey="Zhang, Baohong" sort="Zhang, Baohong" uniqKey="Zhang B" first="Baohong" last="Zhang">Baohong Zhang</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/StressCovidV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D81 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000D81 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= StressCovidV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:4DAA3AAA69E3645298089B3AD2E243783F637010 |texte= Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse }}
This area was generated with Dilib version V0.6.33. |