Abstract
Adult neurogenesis, the lifelong production of new neurons in the adult brain, is under complex genetic control but many of the genes involved remain to be identified. In this study, we have integrated publicly available gene expression data from the BXD and CXB recombinant inbred mouse lines to discover genes co-expressed in the adult hippocampus with Nestin, a common marker of the neural precursor cell population. In addition, we incorporated spatial expression information to restrict candidates to genes with high differential gene expression in the hippocampal dentate gyrus. Incorporating data from curated protein-protein interaction databases revealed interactions between our candidate genes and those already known to be involved in adult neurogenesis. Enrichment analysis suggested a link to the Wnt/β-catenin pathway, known to be involved in adult neurogenesis. In particular, our candidates were enriched in targets of Lef1, a modulator of the Wnt pathway. In conclusion, our combination of bioinformatics approaches identified six novel candidate genes involved in adult neurogenesis; Amer3, Eya3, Mtdh, Nr4a3, Polr2a, and Tbkbp1. Further, we propose a role for Lef1 transcriptional control in the regulation of adult hippocampal precursor cell proliferation.
Introduction
In the hippocampal dentate gyrus of many mammalian species, including mice (Kempermann et al., ,) and humans (Eriksson et al., ), there exists a population of neural stem cells that continue to divide and give rise to new granule cell neurons throughout adulthood. The proliferation of these precursor cells is under strong genetic control (Kempermann et al., , ; Kempermann and Gage, ); and is modulated by a complex interplay of genetic interactions (Kempermann et al., ; Pozniak and Pleasure, ; Kempermann, ). Although many genes have already been assigned a role in the regulation of proliferation in this system (Overall et al., ), many more undoubtedly remain to be identified. In addition, the functional interactions between these genes and their protein products have, in most cases, yet to be established.
Murine genetic reference populations provide excellent tools to address such questions since, firstly, neurogenesis is a well demonstrated phenomenon in mice and, secondly, these sets of strains with fixed, replicable genomes model human genetic complexity and how this influences phenotypes. Recombinant inbred (RI) strain families are genetic reference populations constructed with great experimental control on genotypic variation (Williams et al., ), and have been used extensively in quantitative trait loci mapping. Because of their genotypic stability, they provide a platform for phenotype and gene expression data that can be shared between different experimenters, across different time points (Collaborative Cross Consortium, ). We identified two such resources for which compatible hippocampal expression data exist (Overall et al., ): the BXD RI cross between C57BL/6J and DBA/2J (Taylor, ; Taylor et al., ; Peirce et al., ), and the CXB RI cross between C57BL/6ByJ and BALB/cByJ (Bailey, ; Nowakowski, ).
We chose to focus on the intermediate filament protein Nestin (Nes), first discovered in neuroepithelial stem cells (Lendahl et al., ), and a widely-used marker of the proliferating neural precursor cell population in the adult hippocampal subgranular zone (Reynolds and Weiss, ; Yamaguchi et al., ). Nestin defines a mixed cell population of proliferating cells, including the type-1 stem cells as well as the type-2a and type-2b transiently amplifying precursor cells (Kempermann et al., ). Thus, it would be of great interest to identify related markers which may specify sub-populations to allow more accurate phenotyping of these stages. Also, Nestin, while useful as a marker of precursors, is a structural protein and therefore unlikely to be an upstream modulator of cell fate. It would be of great interest to discover molecules regulating the expression of genes in the precursor cell population. The work presented here has thus examined gene expression profiles correlating with Nestin in two mouse genetic reference panels in order to identify genes potentially regulating proliferation of the neural precursor cell population.
Our results are an example of how a bioinformatics approach, using only information already available in the public domain, can be successfully used to generate novel hypotheses, which can be later tested experimentally at the bench, to help better understand some of the open questions in neurogenomics.
Methods
Correlation with expression data
We used GeneNetwork (Chesler et al., 2003, 2005), to gain access to Nestin related traits for BXD and CXB RI families of mice. In the Affymetrix M430v2 microarray platform used (http://www.genenetwork.org/dbdoc/Hippocampus_M430_V2_PDNN_Sept05.html), Nestin is represented by three probesets (1453997_a_at, 1418289_at, 1449022_at). The first principal component of these traits was calculated to create a meta-trait, Nes-PC1. This Nes-PC1 meta-trait was then correlated (Pearson product-moment correlation coefficient) to all probesets in the two hippocampal expression data sets “BXD Hippocampus Consortium M430v2 (Jun06)” normalized by PDNN (GeneNetwork accession: GN112; Overall et al., ) and “CXB Hippocampus Consortium M430v2 (Dec05),” normalized by PDNN (GeneNetwork accession: GN99; Overall et al., ). The intersection of all probe sets was calculated, using a Pearson product-moment correlation coefficient (r) value greater than 0.8 in both data sets. A correlation coefficient cutoff was used rather than a significance threshold due to the large difference in the number of lines between the two datasets (71 BXD lines, 15 CXB lines). The correlation threshold of 0.8 had a p-value of < 1 × 10 −16 in BXD and ~0.00014 in CXB. Use of a significance value threshold would have resulted in many BXD genes being included which had a very small, but still significant, correlation. The threshold of 0.8 was chosen empirically as a strong correlation, with the intention of selecting for genes highly associated with Nestin. We determined the significance of the intersecting genes by permuting the Nes-PC1 meta-trait data and re-running the analysis 1000 times.
Statistical tests were done using the free and open source software package R (http://www.r-project.org; R Core Team, ).
Differential gene expression search based on the allen mouse brain atlas
The resulting gene list found to correlate with the Nes-PC1 meta-trait for both BXD and CXB families was further constrained based on in situ hybridization data registered to a common anatomical atlas, available from the Allen Institute for brain sciences (Lein et al., ; Allen Institute for Brain Science, ; http://www.brain-map.org). These resources allow one to single out genes enriched in areas of interest that are defined in the anatomical atlas. Using a python script, courtesy of Dr. David Feng, we queried the Allen Brain Atlas database to generate a list of possible candidates by examining the differential gene expression patterns for the dentate gyrus, contrasted against the whole gray matter, thresholding the results at a minimum of 2-fold expression enrichment, a threshold that is comparable with values in the literature (Tusher et al., ). This produced a list of genes with enhanced expression in the hippocampal dentate gyrus.
Enrichment analysis of candidate genes
Our candidate genes were investigated using WebGestalt (http://bioinfo.vanderbilt.edu/webgestalt; Zhang et al., 2005; Wang et al., ) for enrichment in GeneOntology (GO), KEGG pathways, wikipathways and transcription factor targets. This allowed us to find commonality between our candidate genes. The whole mouse genome was used as the reference set and the Benjamini and Hochberg () method was used to correct for multiple tests.
The Mammalian Adult Neurogenesis Gene Ontology, MANGO, is a database of genes known to be involved in adult hippocampal neurogenesis (http://mango.adult-neurogenesis.de; Overall et al., ). The MANGO API was used to produce a subset of genes which are expressed in type-1, -2a and -2b cells, i.e., Nestin-positive cells (http://mango.adult-neurogenesis.de/xml/annotations?process=expression&cellstage=t1,t2a,t2b&effect=positive&expression=true).
Predicted and known interactions with genes known to be involved in adult neurogenesis
GeneMANIA (http://genemania.org; Mostafavi et al., ; Warde-Farley et al., ) was used to investigate known and predicted interactions, including protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. Our candidate genes, genes known to be expressed in Nestin positive cells and our candidate regulator Lef1 were submitted to the website and a summary network created. Default settings were used.
A summary figure for the role of Lef1 was created using Cytoscape (http://www.cytoscape.org; Saito et al., ; Su et al., ), incorporating the above transcription factor target and interaction data. Further, IntAct was used to find additional known protein-protein interactions (www.ebi.ac.uk/intact; Orchard et al., ).
Correlation analysis in the hippocampus of RI strains
To support links found through protein-protein interactions and enrichment analysis, correlations were carried out between our candidate genes in the BXD and CXB hippocampus microarray data. The probes identified above via the Nes-PC1 meta-trait were correlated against two probes for Lef1 expression (1445568_at and 1454734_at) using the built in functionality of GeneNetwork.
All online analyses and database queries were verified on 24 October 2014.
Results
A common set of genes is associated with hippocampal nestin expression in different genetic reference populations
Hippocampal expression has been measured previously in two genetic reference populations, BXD and CXB RI strain families, as part of a single experiment (Overall et al., ), meaning that the array platform and hybridization handling was common to both. We generated a meta-trait, Nes-PC1, based on the first principal component of the expression profiles for the three probesets targeting Nestin (Figure 1A). For each RI population, we correlated Nes-PC1 against all probesets on the array and selected strong correlations of r > 0.8 (Figure 1B). Of the resulting 450 probesets in BXD and 955 probesets in CXB, 144 probesets (excluding those for Nes itself) were common to both sets (Figure 1C; Supplementary Table 1). No overlapping gene sets of 144 or more members were observed after permutation testing of Nes-PC1 data, with 1000 such permutations. This indicates that the association of these genes with Nes is not due simply to chance.
Figure 1
A subset of nestin correlates are enriched in the hippocampal neurogenic niche
A differential search was performed using the Allen Brain Atlas Resource which produced a list of 2472 genes with enhanced expression in the hippocampal dentate gyrus, contrasted against the whole gray matter of the brain. This was used to narrow the list of 144 genes obtained through correlation with our Nes-PC1 meta-trait down to six candidate genes (Figure 1D). These candidates, correlating with Nes and enriched in the dentate gyrus, are therefore hypothesized to be involved in adult hippocampal neurogenesis. The six candidates are: Amer3 (Fam123c), Eya3, Mtdh, Nr4a3, Polr2a, and Tbkbp1. The ISH data and expression intensity for these 6 genes are presented in Figure 2.
Figure 2
Enrichment analysis suggest lef1 as a common regulator in neural precursor cells
Enrichment analysis was carried out using WebGestalt for our six candidate genes, Amer3, Eya3, Mtdh, Nr4a3, Polr2a, and Tbkbp1. There is significant enrichment for several GeneOntology terms related to transcription (Supplementary Table 2). For example “transcription, DNA-dependent,” was significantly enriched (Benjamini and Hochberg adjusted p-value; adjP = 0.0395) due to Nr4a3, Eya3, Mtdh, and Polr2a. In addition, the six candidate genes were enriched (adjP = 0.0001) for the transcription factor Lef1, which targets Nr4a3, Eya3, Amer3, and Polr2a (Table 1).
Table 1

Transcription factor target annotation enrichment from WebGestalt for our six candidate genes, Amer3 (Fam123c), Eya3, Mtdh, Nr4a3, Polr2a, and Tbkbp1.
Showing the transcription target annotation, the annotation ID, target protein, number of reference genes in the category, number of genes in the gene set and also in the category, expected number of genes in the category, ratio of enrichment, p-value from hypergeometric test and p-value adjusted for multiple testing. The gene symbols, Entrez IDs and Ensemble IDs are shown for each gene within an annotation. All information is adapted from WebGestalt (http://bioinfo.vanderbilt.edu/webgestalt; Zhang et al., 2005; Wang et al.,
To investigate if this link to Lef1 is common to many adult neurogenesis genes, or just our candidates, a list of genes expressed in Nestin-positive cell stages was retrieved from the MANGO database and was tested for enrichment in transcription factor targets using WebGestalt. This also revealed a significant enrichment for targets of Lef1 (12 / 35 genes, adjP = 2.44 × 10−8).
These enrichment analyses suggest a possible novel role of Lef1 as a key transcriptional regulator in proliferating neural precursor cells (Figure 3).
Figure 3

The integration of data from several online tools identifies a novel role for Lef1 in adult hippocampal neurogenesis. Enrichment analysis was carried out on the six candidate genes identified (Figure 1) and for targets of the transcription factor Lef1. This was further investigated using enrichment of genes known to be expressed in Nestin positive cells, correlation analysis between our candidate genes and Lef1, and the use of interaction databases to find links between our candidates.
Hippocampal expression patterns of lef1
To investigate if expression levels of Lef1 correlate with expression of our candidate genes, correlation matrices were produced for the BXD and CXB strains. This shows suggestive correlations between our candidate genes and Lef1 (Table 2). Although the correlation is generally greater (larger r-values) in the CXB set compared to the BXD, the significance is lower (larger p-values), due to far fewer lines being used (n = 71 vs. n = 15). However, in both sets, these correlations are not as strong as the correlations between our candidates and Nes. This suggests that Lef1 is only one of several factors influencing the expression level of our genes of interest.
Table 2

Correlation matrices for hippocampal expression of our six candidate genes, Nes and Lef1 in both BXD and CXB genetic reference populations.
On the left hand side of the matrix is the Pearson correlation value, and on the right hand side are the corresponding p-values. Statistically significant r-values (when Bonferroni corrected for the 45 comparisons being made; 0.05/45 = p < 0.0011) are colored green, with nominally significant values (p < 0.05) are colored yellow. Values are taken from GeneNetwork.
The Allen Brain Map showed very little expression of Lef1 in the hippocampus. However, only a small subset of hippocampal cells are proliferative, and Lef1 may only be functioning at one stage in the cell cycle. To investigate whether a strong hippocampal in situ signal is a prerequisite for involvement in neurogenesis, a list of 35 genes from the MANGO database which are known to be expressed in Nestin-positive cells (Table 3) were examined in the Allen Mouse Brain Atlas for hippocampal expression. This showed that four genes known to be involved in adult hippocampal neurogenesis; Id1 (Nam and Benezra,
Table 3

List of MANGO genes expressed in Nestin positive cells.
Entrez gene IDs and symbols are shown for 35 genes which are known to be involved in adult neurogenesis and are expressed in NES positive cells. Those which are targeted by the Lef1 transcription factor are colored yellow (from WebGestalt). Those colored green have no hippocampal expression in the Allen mouse brain data (Lein et al.,
Predicted and known interactions with genes involved in adult neurogenesis
Our method, outlined above, allowed the identification of six novel candidate genes as being associated with adult hippocampal neurogenesis, and revealed that Lef1 acts as a central hub between these genes. We employed GeneMANIA to predict interactions between the 35 MANGO genes expressed in Nestin positive cells, the six candidate genes and Lef1. This showed numerous interactions among all of the submitted genes (Figure 4A). In particular we saw a large number of interactions between Lef1 and the 35 genes expressed in Nestin-positive cells (Figure 4B). In contrast, Amer3, which also appeared to be a good candidate, showed few interactions (Figure 4C), and none when only physical and predicted physical interactions are used whereas, when only considering the same interactions, the network surrounding Lef1 was essentially unchanged (Figure 4D).
Figure 4

Interaction network between the six candidate genes, Lef1 and 35 MANGO genes expressed in Nestin-positive cells. Adapted from GeneMANIA (http://genemania.org; Mostafavi et al.,
Finally, a network was created incorporating all our evidence for Lef1 as a candidate regulator, including transcription factor targets from WebGestalt and physical interactions from GeneMANIA, as well as additional known protein-protein interactions from IntAct (Figure 5). This shows that Lef1 not only targets many of our genes, but that it connects subsets of physically interacting genes together.
Figure 5

Summary of known interactions shows a central role for Lef1. The transcription factor Lef1 (dark blue octagon) is central in a network comprised of our six candidate genes (red triangles) and 35 genes expressed in Nestin positive cells (pale blue circles). Transcription factor targets (from WebGestalt) are shown as contiguous blue arrows, protein-protein interactions (from IntAct) as black lines and physical interactions (from GeneMANIA) as double red lines. Figure produced in Cytoscape.
Taken together, the results presented above support the hypothesis that Lef1 plays a gene regulatory role in type-1 and type-2 Nestin-positive cells in the adult hippocampal dentate gyrus.
Discussion
Adult neurogenesis occurs in several mammalian species, although the rate of precursor proliferation and new neuron production vary considerably between species (Kempermann,
Our approach consisted of finding genes that: (a) correlate strongly with Nes gene expression, a defining protein of hippocampal stem cells (Lagace et al.,
The differential search option in the Allen Brain Science Institute's database allowed the identification of enhanced gene expression in a specific brain region. However, data for the subgranular zone, which is located in the immediate vicinity of the granule cell layer, and is only 2–3 cells thick, is not available at the present time. Therefore, the entire dentate gyrus was used as a proxy and compared to the whole brain gray matter. Because the subgranular zone (SGZ) is a thin band of cells located at the boundary of granule cell layer, small inaccuracies in boundary definition or spatial normalization could severely affect the analysis results. Therefore, we decided upon using the whole dentate gyrus as our best candidate for differential search.
Amer3 has a well-defined enhanced expression in the granule cell layer of the hippocampus, and is a particularly good candidate since it has already been linked to embryonic neurogenesis (Comai et al.,
The reason that we found only a small set of genes using the differential search of Allen Brain Atlas resources is probably due to larger regions being used for our analysis (i.e., the whole hippocampus for Nes correlation and the dentate gyrus of the hippocampus for the differential gene expression search), as small but significant changes within the subgranular cell layer may be obscured by signals from other cell populations. Further refinements of the atlas and availability of a more spatially refined expression data set would likely yield a greater overlap between these two approaches.
Our protein-protein interaction and enrichment analysis revealed that four out of our six candidate genes are targeted by the Lef1 transcription factor, and the remaining two have close relations to it. Lef1 is a downstream effector of the Wnt/β-catenin pathway (Mazumdar et al.,
Combined with the established role of the Wnt signaling pathway in adult hippocampal neurogenesis (Lie et al.,
While our approach has limitations, such as relying on one single marker of proliferation, and on spatial proxies for the SGZ, we believe that it proposes a novel method. By repeating a similar procedure, as we followed using Nestin, and then imposing spatial constraints for other markers associated with neurogenesis (e.g., Sox2, Prox1, NeuN, or Dcx), one might expect to produce larger sets of gene candidates and better understand their roles in the various stages of neurogenesis. It is our hope that this can lead to a better understanding of adult neurogenesis and its relationship with its developmental counterpart, as well as give additional insight into the functional relevance of a process that has been demonstrated in several mammalian species (Amrein et al.,
In this study we demonstrate a strategy for finding novel candidate genes linked to adult neurogenesis in the murine hippocampus, using data available in the public domain. By integrating data from several public resources, this method presents an avenue for generating novel hypotheses in silico, and potential gene networks which can be tested in the future in vitro or in vivo.
Statements
Acknowledgments
We would like to thank the International Neuroscience Coordinating Facility (INCF) and the Center for Integrative and Translational Genomics of the University of Tennessee Health Science Center, Memphis, TN, USA for funding the INCF Short Course on Neuroinformatics, Neurogenomics and Brain Disease, which brought us together for this project. We are grateful to Dr. David Feng for his insight into querying the Allen Brain Atlas database, and to Dr. Richard Nowakowski for support in the initial stages of the project. Alexandra Badea acknowledges funding from NIA, through K01 AG041211, and the Center for In Vivo Microscopy, supported by NIBIB through P41 EB015897.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/fnins.2014.00418/abstract
References
1
Allen Institute for Brain Science. (2014). Allen Mouse Brain Atlas [Internet]. Available online at: http://mouse.brain-map.org/
2
AmreinI.IslerK.LippH.-P. (2011). Comparing adult hippocampal neurogenesis in mammalian species and orders: influence of chronological age and life history stage. Eur. J. Neurosci. 34, 978–987. 10.1111/j.1460-9568.2011.07804.x
3
AzimK.ZweifelS.KlausF.YoshikawaK.AmreinI.RaineteauO. (2013). Early decline in progenitor diversity in the marmoset lateral ventricle. Cereb. Cortex23, 922–931. 10.1093/cercor/bhs085
4
BaileyD. W. (1971). Recombinant-inbred strains. An aid to finding identity, linkage, and function of histocompatibility and other genes. Transplantation11, 325–327. 10.1097/00007890-197103000-00013
5
BehrensJ.von KriesJ. P.KühlM.BruhnL.WedlichD.GrosschedlR.et al. (1996). Functional interaction of beta-catenin with the transcription factor LEF-1. Nature382, 638–642. 10.1038/382638a0
6
BenjaminiY.HochbergY. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B57, 289–300.
7
BernalG. M.PetersonD. A. (2011). Phenotypic and gene expression modification with normal brain aging in GFAP-positive astrocytes and neural stem cells. Aging Cell10, 466–482. 10.1111/j.1474-9726.2011.00694.x
8
BrauburgerK.AkyildizS.RuppertJ. G.GraebM.BernkopfD. B.HadjihannasM. V.et al. (2014). Adenomatous polyposis coli (APC) membrane recruitment 3, a member of the APC membrane recruitment family of APC-binding proteins, is a positive regulator of Wnt-β-catenin signalling. FEBS J. 281, 787–801. 10.1111/febs.12624
9
CaoL.JiaoX.ZuzgaD. S.LiuY.FongD. M.YoungD.et al. (2004). VEGF links hippocampal activity with neurogenesis, learning and memory. Nat. Genet. 36, 827–835. 10.1038/ng1395
10
CheslerE. J.LuL.ShouS.QuY.GuJ.WangJ.et al. (2005). Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function. Nat. Genet. 37, 233–242. 10.1038/ng1518
11
CheslerE. J.WangJ.LuL.QuY.ManlyK. F.WilliamsR. W. (2003). Genetic correlates of gene expression in recombinant inbred strains: a relational model system to explore neurobehavioral phenotypes. Neuroinformatics1, 343–357. 10.1385/NI:1:4:343
12
ClarkP. J.KohmanR. A.MillerD. S.BhattacharyaT. K.BrzezinskaW. J.RhodesJ. S. (2011). Genetic influences on exercise-induced adult hippocampal neurogenesis across 12 divergent mouse strains. Genes. Brain. Behav. 10, 345–353. 10.1111/j.1601-183X.2010.00674.x
13
Collaborative Cross Consortium. (2012). The genome architecture of the Collaborative Cross mouse genetic reference population. Genetics190, 389–401. 10.1534/genetics.111.132639
14
ComaiG.BoutetA.NeirijnckY.SchedlA. (2010). Expression patterns of the Wtx/Amer gene family during mouse embryonic development. Dev. Dyn. 239, 1867–1878. 10.1002/dvdy.22313
15
CuiX.-P.XingY.ChenJ.-M.DongS.-W.YingD.-J.YewD. T. (2011). Wnt/beta-catenin is involved in the proliferation of hippocampal neural stem cells induced by hypoxia. Ir. J. Med. Sci. 180, 387–393. 10.1007/s11845-010-0566-3
16
ErikssonP. S.PerfilievaE.Björk-ErikssonT.AlbornA. M.NordborgC.PetersonD. A.et al. (1998). Neurogenesis in the adult human hippocampus. Nat. Med. 4, 1313–1317. 10.1038/3305
17
GalceranJ.Miyashita-LinE. M.DevaneyE.RubensteinJ. L.GrosschedlR. (2000). Hippocampus development and generation of dentate gyrus granule cells is regulated by LEF1. Development127, 469–482.
18
HayesN. L.NowakowskiR. S. (2002). Dynamics of cell proliferation in the adult dentate gyrus of two inbred strains of mice. Brain Res. Dev. Brain Res. 134, 77–85. 10.1016/S0165-3806(01)00324-8
19
HodgeR. D.KowalczykT. D.WolfS. A.EncinasJ. M.RippeyC.EnikolopovG.et al. (2008). Intermediate progenitors in adult hippocampal neurogenesis: Tbr2 expression and coordinate regulation of neuronal output. J. Neurosci. 28, 3707–3717. 10.1523/JNEUROSCI.4280-07.2008
20
HuG.WeiY.KangY. (2009). The multifaceted role of MTDH/AEG-1 in cancer progression. Clin. Cancer Res. 15, 5615–5620. 10.1158/1078-0432.CCR-09-0049
21
ImuraT.WangX.NodaT.SofroniewM. V.FushikiS. (2010). Adenomatous polyposis coli is essential for both neuronal differentiation and maintenance of adult neural stem cells in subventricular zone and hippocampus. Stem Cells28, 2053–2064. 10.1002/stem.524
22
KempermannG. (2011). Seven principles in the regulation of adult neurogenesis. Eur. J. Neurosci. 33, 1018–1024. 10.1111/j.1460-9568.2011.07599.x
23
KempermannG. (2012). New neurons for “survival of the fittest. Nat. Rev. Neurosci. 13, 727–736. 10.1038/nrn3319
24
KempermannG.CheslerE. J.LuL.WilliamsR. W.GageF. H. (2006). Natural variation and genetic covariance in adult hippocampal neurogenesis. Proc. Natl. Acad. Sci. U.S.A. 103, 780–785. 10.1073/pnas.0510291103
25
KempermannG.GageF. H. (2002). Genetic influence on phenotypic differentiation in adult hippocampal neurogenesis. Brain Res. Dev. Brain Res. 134, 1–12. 10.1016/S0165-3806(01)00224-3
26
KempermannG.JessbergerS.SteinerB.KronenbergG. (2004). Milestones of neuronal development in the adult hippocampus. Trends Neurosci. 27, 447–452. 10.1016/j.tins.2004.05.013
27
KempermannG.KuhnH. G.GageF. H. (1997a). Genetic influence on neurogenesis in the dentate gyrus of adult mice. Proc. Natl. Acad. Sci. U.S.A. 94, 10409–10414. 10.1073/pnas.94.19.10409
28
KempermannG.KuhnH. G.GageF. H. (1997b). More hippocampal neurons in adult mice living in an enriched environment. Nature386, 493–495. 10.1038/386493a0
29
KuwabaraT.HsiehJ.MuotriA.YeoG.WarashinaM.LieD. C.et al. (2009). Wnt-mediated activation of NeuroD1 and retro-elements during adult neurogenesis. Nat. Neurosci. 12, 1097–1105. 10.1038/nn.2360
30
LagaceD. C.WhitmanM. C.NoonanM. A.AblesJ. L.DeCarolisN. A.ArguelloA. A.et al. (2007). Dynamic contribution of nestin-expressing stem cells to adult neurogenesis. J. Neurosci. 27, 12623–12629. 10.1523/JNEUROSCI.3812-07.2007
31
LeinE. S.HawrylyczM. J.AoN.AyresM.BensingerA.BernardA.et al. (2007). Genome-wide atlas of gene expression in the adult mouse brain. Nature445, 168–176. 10.1038/nature05453
32
LendahlU.ZimmermanL. B.McKayR. D. (1990). CNS stem cells express a new class of intermediate filament protein. Cell60, 585–595. 10.1016/0092-8674(90)90662-X
33
LieD.-C.ColamarinoS. A.SongH.-J.DésiréL.MiraH.ConsiglioA.et al. (2005). Wnt signalling regulates adult hippocampal neurogenesis. Nature437, 1370–1375. 10.1038/nature04108
34
MachonO.van den BoutC. J.BackmanM.KemlerR.KraussS. (2003). Role of beta-catenin in the developing cortical and hippocampal neuroepithelium. Neuroscience122, 129–143. 10.1016/S0306-4522(03)00519-0
35
MazumdarJ.O'BrienW. T.JohnsonR. S.LaMannaJ. C.ChavezJ. C.KleinP. S.et al. (2010). O2 regulates stem cells through Wnt/β-catenin signalling. Nat. Cell Biol. 12, 1007–1013. 10.1038/ncb2102
36
MostafaviS.RayD.Warde-FarleyD.GrouiosC.MorrisQ. (2008). GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function. Genome Biol. 9(Suppl. 1), S4. 10.1186/gb-2008-9-s1-s4
37
NamH.BenezraR. (2009). High levels of Id1 expression define B1 type adult neural stem cells. Cell Stem Cell5, 515–526. 10.1016/j.stem.2009.08.017
38
NowakowskiR. S. (1984). The mode of inheritance of a defect in lamination in the hippocampus of BALB/c mice. J. Neurogenet. 1, 249–258. 10.3109/01677068409107090
39
OrchardS.AmmariM.ArandaB.BreuzaL.BrigantiL.Broackes-CarterF.et al. (2014). The MIntAct project–IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Res. 42, D358–D363. 10.1093/nar/gkt1115
40
OverallR. W.KempermannG.PeirceJ.LuL.GoldowitzD.GageF. H.et al. (2009). Genetics of the hippocampal transcriptome in mouse: a systematic survey and online neurogenomics resource. Front. Neurosci. 3:55. 10.3389/neuro.15.003.2009
41
OverallR. W.Paszkowski-RogaczM.KempermannG. (2012). The mammalian adult neurogenesis gene ontology (MANGO) provides a structural framework for published information on genes regulating adult hippocampal neurogenesis. PLoS ONE7:e48527. 10.1371/journal.pone.0048527
42
OzenI.GalichetC.WattsC.ParrasC.GuillemotF.RaineteauO. (2007). Proliferating neuronal progenitors in the postnatal hippocampus transiently express the proneural gene Ngn2. Eur. J. Neurosci. 25, 2591–2603. 10.1111/j.1460-9568.2007.05541.x
43
PatzkeN.SpocterM. A.KarlssonK. A.BertelsenM. F.HaagensenM.ChawanaR.et al. (2013). In contrast to many other mammals, cetaceans have relatively small hippocampi that appear to lack adult neurogenesis. Brain Struct. Funct. [Epub ahead of print]. 10.1007/s00429-013-0660-1
44
PeirceJ. L.LuL.GuJ.SilverL. M.WilliamsR. W. (2004). A new set of BXD recombinant inbred lines from advanced intercross populations in mice. BMC Genet. 5:7. 10.1186/1471-2156-5-7
45
PoonA.GoldowitzD. (2014). Identification of genetic loci that modulate cell proliferation in the adult rostral migratory stream using the expanded panel of BXD mice. BMC Genomics15:206. 10.1186/1471-2164-15-206
46
PozniakC. D.PleasureS. J. (2006). Genetic control of hippocampal neurogenesis. Genome Biol. 7:207. 10.1186/gb-2006-7-3-207
47
R Core Team. (2013). R: A Language and Environment for Statistical Computing. R Found. Stat. Comput. Available online at: http://www.r-project.org/
48
ReynoldsB. A.WeissS. (1992). Generation of neurons and astrocytes from isolated cells of the adult mammalian central nervous system. Science255, 1707–1710. 10.1126/science.1553558
49
RoybonL.HjaltT.StottS.GuillemotF.LiJ.-Y.BrundinP. (2009). Neurogenin2 directs granule neuroblast production and amplification while NeuroD1 specifies neuronal fate during hippocampal neurogenesis. PLoS ONE4:e4779. 10.1371/journal.pone.0004779
50
SaitoR.SmootM. E.OnoK.RuscheinskiJ.WangP.-L.LotiaS.et al. (2012). A travel guide to Cytoscape plugins. Nat. Methods9, 1069–1076. 10.1038/nmeth.2212
51
Segi-NishidaE.Warner-SchmidtJ. L.DumanR. S. (2008). Electroconvulsive seizure and VEGF increase the proliferation of neural stem-like cells in rat hippocampus. Proc. Natl. Acad. Sci. U.S.A. 105, 11352–11357. 10.1073/pnas.0710858105
52
SuG.MorrisJ. H.DemchakB.BaderG. D. (2014). Biological network exploration with cytoscape 3. Curr. Protoc. Bioinformat. 47, 8.13.1–8.13.24. 10.1002/0471250953.bi0813s47
53
TaylorB. A. (1978). Recombinant inbred strains: use in genetic mapping, in Origins of Inbred Mice, ed MorseH. (New York, NY: Academic Press), 423–438.
54
TaylorB. A.WnekC.KotlusB. S.RoemerN.MacTaggartT.PhillipsS. J. (1999). Genotyping new BXD recombinant inbred mouse strains and comparison of BXD and consensus maps. Mamm. Genome10, 335–348. 10.1007/s003359900998
55
TusherV. G.TibshiraniR.ChuG. (2001). Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. U.S.A. 98, 5116–5121. 10.1073/pnas.091062498
56
Varela-NallarL.InestrosaN. C. (2013). Wnt signaling in the regulation of adult hippocampal neurogenesis. Front. Cell. Neurosci. 7:100. 10.3389/fncel.2013.00100
57
WangJ.DuncanD.ShiZ.ZhangB. (2013). WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013. Nucleic Acids Res. 41, W77–W83. 10.1093/nar/gkt439
58
Warde-FarleyD.DonaldsonS. L.ComesO.ZuberiK.BadrawiR.ChaoP.et al. (2010). The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 38, W214–W220. 10.1093/nar/gkq537
59
Warner-SchmidtJ. L.DumanR. S. (2007). VEGF is an essential mediator of the neurogenic and behavioral actions of antidepressants. Proc. Natl. Acad. Sci. U.S.A. 104, 4647–4652. 10.1073/pnas.0610282104
60
WexlerE. M.PaucerA.KornblumH. I.PalmerT. D.PlamerT. D.GeschwindD. H. (2009). Endogenous Wnt signaling maintains neural progenitor cell potency. Stem Cells27, 1130–1141. 10.1002/stem.36
61
WilliamsR. W.GuJ.QiS.LuL. (2001). The genetic structure of recombinant inbred mice: high-resolution consensus maps for complex trait analysis. Genome Biol. 2, research0046–research0046.18. 10.1186/gb-2001-2-11-research0046
62
WisniewskaM. B. (2013). Physiological role of β-Catenin/TCF signaling in neurons of the adult brain. Neurochem. Res. 38, 1144–1155. 10.1007/s11064-013-0980-9
63
YamaguchiM.SaitoH.SuzukiM.MoriK. (2000). Visualization of neurogenesis in the central nervous system using nestin promoter-GFP transgenic mice. Neuroreport11, 1991–1996. 10.1097/00001756-200006260-00037
64
YooB. K.EmdadL.SuZ.VillanuevaA.ChiangD. Y.MukhopadhyayN. D.et al. (2009). Astrocyte elevated gene-1 regulates hepatocellular carcinoma development and progression. J. Clin. Invest. 119, 465–477. 10.1172/JCI36460
65
ZhangB.KirovS.SnoddyJ. (2005). WebGestalt: an integrated system for exploring gene sets in various biological contexts. Nucleic Acids Res. 33, W741–W748. 10.1093/nar/gki475
Summary
Keywords
adult neurogenesis, BXD, CXB, neuroinformatics, recombinant inbred mice, systems genetics, Lef1, Wnt pathway
Citation
Ashbrook DG, Delprato A, Grellmann C, Klein M, Wetzel R, Overall RW and Badea A (2014) Transcript co-variance with Nestin in two mouse genetic reference populations identifies Lef1 as a novel candidate regulator of neural precursor cell proliferation in the adult hippocampus. Front. Neurosci. 8:418. doi: 10.3389/fnins.2014.00418
Received
19 September 2014
Accepted
27 November 2014
Published
12 December 2014
Volume
8 - 2014
Edited by
Robert W. Williams, University of Tennessee Health Science Center, USA
Reviewed by
Sulev Kõks, University of Tartu, Estonia; Camron D. Bryant, Boston University School of Medicine, USA; Susan E. Bergeson, Texas Tech University Health Sciences Center, USA
Copyright
© 2014 Ashbrook, Delprato, Grellmann, Klein, Wetzel, Overall and Badea.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alexandra Badea, Department of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Research Drive, Durham, NC 27710, USA e-mail: alexandra.badea@duke.edu
This article was submitted to Neurogenomics, a section of the journal Frontiers in Neuroscience.
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