Staff View
Single cell transcriptome analysis reveals discrete events during neural precursor cell differentiation into neuron

Descriptive

TitleInfo
Title
Single cell transcriptome analysis reveals discrete events during neural precursor cell differentiation into neuron
Name (type = personal)
NamePart (type = family)
Rani
NamePart (type = given)
Satya Pavitra
NamePart (type = date)
1993-
DisplayForm
Satya Pavitra Rani
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Cai
NamePart (type = given)
Li
DisplayForm
Li Cai
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Pierce
NamePart (type = given)
Mark
DisplayForm
Mark Pierce
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Sy
NamePart (type = given)
Jay
DisplayForm
Jay Sy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2018
DateOther (qualifier = exact); (type = degree)
2018-10
CopyrightDate (encoding = w3cdtf)
2018
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Neurogenesis is a complex process which is controlled by intrinsic programs and exogenous signals among the cells resulting in formation of progressively committed neurons. The complex processes governing neurogenesis can be elucidated by determining the developmental stages and compositions of the cells along with their molecular determinants. The single cell RNA sequencing (scRNA-seq) study of undifferentiated neural precursor cells ultimately differentiating into neurons is an effort to understand these mechanisms. This study is performed on a dataset (GEO accession #GSE102066) consisting of four cell types, i.e., neural precursor cell, differentiating neural cell, immature neuron and neuron. A comprehensive analysis examining the trajectory path of neural precursor cells to neurons, the highest expressed genes and marker genes of each cell type and the gene ontology (GO) terms associated with these genes has revealed critical observations. Lack of similar intrinsic properties revealed heterogeneity among immature neurons and neurons through trajectory analysis. The genes which were expressed highest among all the cell types was associated with GO term for housekeeping genes which are crucial for maintaining cell functions. The marker genes of each cell type were associated with many relevant GO terms such as neurogenesis, neuron projection, olfactory lobe development, forebrain generation of neurons and central nervous system development. Key factors having discrete gene expression activity as cells transitioned from one state to another were revealed in this study. Genes which drastically decreased their expression levels over a period of two days (day 5 to day 7) were SFRP1 and SFRP2, genes which gradually decreased their expression activity from day 0 to day 30 were WNT5A and EFNA5, known neuronal marker genes DCX, MAP2 and STMN2 were upregulated gradually as the cells reached mature neuron stage. This study has helped in revealing transcriptional profiles of cells differentiating through a critical period of time with the key genes responsible for maintaining cell states and determining cell fates.
Subject (authority = RUETD)
Topic
Biomedical Engineering
Subject (authority = ETD-LCSH)
Topic
Developmental neurobiology
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9141
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (56 pages : illustrations)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Satya Pavitra Rani
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-6az6-ba55
Genre (authority = ExL-Esploro)
ETD graduate
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Rani
GivenName
Satya Pavitra
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-08-12 12:08:59
AssociatedEntity
Name
Satya Pavitra Rani
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.5
ApplicationName
Mac OS X 10.12.6 Quartz PDFContext
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-08-12T15:57:07
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-08-12T15:57:07
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024