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Classification models for identifying skin sensitizers using in vitro alternatives to animal testing

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TitleInfo
Title
Classification models for identifying skin sensitizers using in vitro alternatives to animal testing
Name (type = personal)
NamePart (type = family)
Lee
NamePart (type = given)
Serom
NamePart (type = date)
1985-
DisplayForm
Serom Lee
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Yarmush
NamePart (type = given)
Martin l
DisplayForm
Martin l Yarmush
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Schloss
NamePart (type = given)
Rene
DisplayForm
Rene Schloss
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Maguire
NamePart (type = given)
Timothy
DisplayForm
Timothy Maguire
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Michniak-Kohn
NamePart (type = given)
Bozena
DisplayForm
Bozena Michniak-Kohn
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Seiberg
NamePart (type = given)
Miri
DisplayForm
Miri Seiberg
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-10
CopyrightDate (encoding = w3cdtf)
2014
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Allergic contact dermatitis (ACD) is an inflammatory disease that occurs when chemicals known as sensitizers come in contact with the skin. Recent European legislation prohibits animal based screens of cosmetic ingredients. Current alternatives to animal testing are limited by their poor ability to identify a subset of non-innate contact sensitizers known as pre-/pro-haptens which require transformation in the skin. Furthermore, these approaches only evaluate a single cell type with 1 or 2 biomarkers. To address this, we performed an initial study using RealSkin, a full thickness skin equivalent, in co-culture with MUTZ-3 derived Langerhan’s cells (MUTZ-LCs). This co-culture was treated with model pro-/pro-haptens from an irritant control and multiple cellular metrics were evaluated. A novel feature selection method was developed using a support vector machine (SVM) to rank the margin distances of each metric and identify biomarkers of sensitization. A panel (IL-12, IL-9, VEGF, IFN-γ) was identified by SVM and predicted sensitizers with over 90% accuracy. Although promising, this method is costly and resource intensive. Thus, we designed a more economic, high throughput screening approach to metabolize pro-hapten sensitizers. MUTZ-LCs were cultured alone and in parallel with a co-culture of HaCaT keratinocytes, dermal fibroblasts, and MUTZ-LCs. Both cultures were treated with a panel of pre- and pro-hapten sensitizers and non-sensitizers. The secretome of both cultures were evaluated for 27 cytokines, chemokines, and growth factors. Feature selection by SVM identified predictive signatures of sensitization for each culture type. These cellular metrics was used to develop a classification model of sensitization. The MUTZ-LCs classification model was 83.3% accurate at identifying pro-hapten sensitizers using MIP-1β, MIP-1α, RANTES, IL-8, and IL-9. The co-culture classification model was 89.6% accurate at identifying pro-hapten sensitizers using a panel of IL-8, GM-CSF, and RANTES. The presence of the keratinocytes and fibroblasts enhanced the identification of pre- and pro-haptens to sensitize the MUTZ-LCs. This approach also preserves the cross-talk signals between all three skin cell types. Thus, the co-culture of HaCaT keratinocytes, dermal fibroblasts, and MUTZ-LCs is an attractive, high throughput in vitro alternative to animal testing for the identification of pre- and pro-hapten skin sensitizers.
Subject (authority = RUETD)
Topic
Biomedical Engineering
Subject (authority = ETD-LCSH)
Topic
Contact dermatitis
Subject (authority = ETD-LCSH)
Topic
Alternative toxicity testing
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5966
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 109 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Serom Lee
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3WM1C26
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Lee
GivenName
Serom
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-09-30 14:03:51
AssociatedEntity
Name
Serom Lee
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2016-10-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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