Skip to main content
Advertisement

Main menu

  • Home
  • Articles
    • Accepted manuscripts
    • Issue in progress
    • Latest complete issue
    • Issue archive
    • Archive by article type
    • Interviews
    • Sign up for alerts
  • About us
    • About BiO
    • Editors and Board
    • Editor biographies
    • Grants and funding
    • Journal Meetings
    • Workshops
    • The Company of Biologists
    • Journal news
  • For authors
    • Submit a manuscript
    • Aims and scope
    • Presubmission enquiries
    • Article types
    • Manuscript preparation
    • Cover suggestions
    • Editorial process
    • Promoting your paper
    • Open Access
  • Journal info
    • Journal policies
    • Rights and permissions
    • Media policies
    • Reviewer guide
    • Sign up for alerts
  • Contact
    • Contact BiO
    • Advertising
    • Feedback
  • COB
    • About The Company of Biologists
    • Development
    • Journal of Cell Science
    • Journal of Experimental Biology
    • Disease Models & Mechanisms
    • Biology Open

User menu

  • Log in

Search

  • Advanced search
Biology Open
  • COB
    • About The Company of Biologists
    • Development
    • Journal of Cell Science
    • Journal of Experimental Biology
    • Disease Models & Mechanisms
    • Biology Open

supporting biologistsinspiring biology

Biology Open

Advanced search

RSS   Twitter   Facebook   YouTube

  • Home
  • Articles
    • Accepted manuscripts
    • Issue in progress
    • Latest complete issue
    • Issue archive
    • Archive by article type
    • Interviews
    • Sign up for alerts
  • About us
    • About BiO
    • Editors and Board
    • Editor biographies
    • Grants and funding
    • Journal Meetings
    • Workshops
    • The Company of Biologists
    • Journal news
  • For authors
    • Submit a manuscript
    • Aims and scope
    • Presubmission enquiries
    • Article types
    • Manuscript preparation
    • Cover suggestions
    • Editorial process
    • Promoting your paper
    • Open Access
  • Journal info
    • Journal policies
    • Rights and permissions
    • Media policies
    • Reviewer guide
    • Sign up for alerts
  • Contact
    • Contact BiO
    • Advertising
    • Feedback
Research Article
KDM5B decommissions the H3K4 methylation landscape of self-renewal genes during trophoblast stem cell differentiation
Jian Xu, Benjamin L. Kidder
Biology Open 2018 7: bio031245 doi: 10.1242/bio.031245 Published 10 May 2018
Jian Xu
1Department of Neurology, Wayne State University School of Medicine, Detroit, MI 48201, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin L. Kidder
2Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA
3Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Benjamin L. Kidder
  • For correspondence: benjamin.kidder@wayne.edu
  • Article
  • Figures & tables
  • Info & metrics
  • eLetters
  • PDF
Loading

Article Figures & Tables

Figures

  • Fig. 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 1.

    KDM5B regulates expression of self-renewal genes in TS cells. (A) TS cells transduced with shLuc (control) or shKdm5b lentiviral particles and stably selected with puromycin. Dotted lines outline boundary of TS cell colony. Representative micrographs from at least three independent experiments are shown. (B) Relative RNA-Seq expression level of Kdm5b in shLuc and shKdm5b TS cells. Kdm5b RNA-Seq mRNA levels (RPKM) were normalized to shLuc TS cells. (C) Scatter plot of RNA-Seq gene expression analysis between shLuc and shKdm5b TS cells. Log2 adjusted differentially expressed genes are plotted (>twofold, RPKM>3). At least two biological replicates were performed for RNA-Seq analyses. (D) Boxplot of RNA-Seq data: upregulated and downregulated genes in shLuc and shKdm5b TS cells (log2 RPKM). (E) Gene set enrichment analysis (GSEA) plot of downregulated (top) and upregulated (bottom) differentially expressed genes in KDM5B-depleted TS cells relative to shLuc TS cells. Note that the expression of the majority of genes downregulated in shKdm5b TS cells is enriched in undifferentiated TS cells (top plot), while expression of genes that are upregulated in shKdm5b TS cells is enriched in differentiated TS cells (bottom plot). A positive enrichment score indicates that expression of genes is enriched in undifferentiated TS cells, while a negative enrichment score indicates that expression of genes is enriched in differentiated TS cells. (F) DAVID gene ontology (GO) functional annotation of differentially expressed genes between shLuc and shKdm5b TS cells. The bottom graph shows significantly enriched placental and trophoblast GO terms. (G) K-means clustering analysis of RNA-Seq data. Differentially expressed genes (>twofold) clustered according to k-means. (H) Principal component analysis (PCA) of RNA-Seq expression between shLuc and shKdm5b TS cells, day 14 differentiated TS cells, ES cells, day 6, 10, and 14 embryoid body (EB) differentiated ES cells, EpiSCs, and MEFs. (I) Network2Canvas (N2C) (Tan et al., 2013) analyses of differentially expressed genes between shLuc and shKdm5b TS cells. In each canvas, each node (square) represents a gene list (shLuc versus Kdm5b DE genes in TS cells) associated with a functional term in a gene-set library (ChIP-X, mouse gene atlas, and MGI phenotype). The terms are organized on the canvas based on the similarity of their gene-set content. The brightness (white) of each node is determined by its P value. (J) Custom tracks of RNA-Seq data in the UCSC genome browser.

  • Fig. 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 2.

    KDM5B regulates the H3K4 methylation landscape of TS cells. Depletion of KDM5B leads to altered (A) H3K4me3 and (B) H3K4me2 levels in TS cells (See the Materials and Methods section for SICER-analysis; fold-change >1.5, FDR <0.001). Scatter plots of (C) H3K4me3 and (D) H3K4me2 densities at TSC ChIP-enriched peaks (log2 normalized tag density). (E) Venn diagrams showing overlap of H3K4me3 (left) and H3K4me2 (right) in shLuc and shKdm5b TS cells at SICER-defined islands. (F,G) Boxplots of (F) H3K4me3 and (G) H3K4me2 densities at regions of increased or decreased H3K4me3 or H3K4me2 in shKdm5b TS cells relative to shLuc TS cells. (H,I) Annotation of regions with increased or decreased (H) H3K4me3 or (I) H3K4me2 in KDM5B-depleted TS cells using HOMER software. (J) DAVID gene ontology (GO) functional annotation of genes with altered H3K4me3 in KDM5B-depleted TS cells relative to shLuc TS cells. (K,L) GSEA of genes with (K) increased (left) or decreased (right) H3K4me3 or (L) H3K4me2 in shKdm5b TS cells relative to shLuc TS cells. (M) Custom views of ChIP-Seq data in the UCSC genome browser.

  • Fig. 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 3.

    KDM5B demethylates H3K4me3 at TSC-enriched genes during early differentiation. (A) Bright-field microscopy of day 2–3 differentiated shLuc and shKdm5b TS cells. (B) Percent viability of day 2–3 differentiated shLuc and shKdm5b TS cells. (C) Differentiated KDM5B-depleted TS cells exhibit elevated H3K4me3 ChIP-Seq levels relative to differentiated shLuc TS cells (See the Materials and Methods section for SICER-analysis; fold-change >1.5, FDR <0.001). (D) Venn diagrams showing overlap of H3K4me3 in day 2–4 differentiated shLuc and shKdm5b TS cells at SICER-defined islands. (E) Boxplots of H3K4me3 densities at regions with increased H3K4me3 in day 2, day 3, and day 4 differentiated shKdm5b TS cells. (F) Annotation of regions with increased H3K4me3 in shKdm5b versus shLuc day 2, day 3, or day 4 differentiated TS cells using HOMER software. (G) GSEA of genes with increased H3K4me3 in shKdm5b versus shLuc day 2, day 3, or day 4 differentiated TS cells. (H) Schematic describing the calculation used to determine the differentiation index (DI) at H3K4me3 marked genes in ES cells. The DI is calculated from the ratio of the density of H3K4me3 in differentiated TS cells to the density of H3K4me3 in undifferentiated TS cells. (I) Empirical cumulative distribution for the DI of H3K4me3 across genes marked by H3K4me3 in undifferentiated TS cells for shLuc (black) and shKdm5b (red) TS cells. Y-axis shows the percentage of regions that exhibit a DI less than the value specified by the x-axis. A line shifted to the right means a systematic increase in the differentiation index. P-value for all <2.2E-16 (Kolmogorov–Smirnov test). Note the decreased DI for genes marked by H3K4me3 in shKdm5b TS cells. (J) Custom views of ChIP-Seq data in the UCSC genome browser.

  • Fig. 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 4.

    KDM5B demethylates H3K4me3 at TSC-enriched genes during differentiation. (A) Differentiated KDM5B-depleted TS cells exhibit elevated H3K4me3 ChIP-Seq levels relative to differentiated shLuc TS cells (See the Materials and Methods section for SICER-analysis; fold-change >1.5, FDR <0.001). (B) Venn diagrams showing overlap of H3K4me3 in day 14 differentiated shLuc and shKdm5b TS cells at SICER-defined islands. (C) Scatter plot of H3K4me3 densities at TSC ChIP-enriched peaks (log2 normalized tag density). (D) Boxplot of H3K4me3 density at TSC-defined ChIP-Seq peaks in shLuc and shKdm5b day 14 differentiated TS cells. (E) Heat maps of H3K4me3 densities at transcriptional start sites (TSS) in shLuc and shKdm5b day 14 differentiated TS cells (genes were sorted by their expression in undifferentiated TS cells). (F) Average profile of H3K4me3 in shLuc and shKdm5b day 14 differentiated TS cells. (G) Annotation of regions with increased H3K4me3 in shKdm5b versus shLuc day 14 differentiated TS cells using HOMER software. (H) GSEA of genes with increased H3K4me3 in shKdm5b versus shLuc day 14 differentiated TS cells. (I) Empirical cumulative distribution for the differentiation index (DI) of H3K4me3 across genes marked by H3K4me3 in undifferentiated TS cells for shLuc (orange) and shKdm5b (blue) TS cells. Y-axis shows the percentage of regions that exhibit a DI less than the value specified by the x-axis. A line shifted to the right means a systematic increase in the differentiation index. P-value for all <2.2E-16 (Kolmogorov–Smirnov test). Note the decreased DI for genes marked by H3K4me3 in shKdm5b TS cells. (J) Custom views of ChIP-Seq data in the UCSC genome browser.

  • Fig. 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 5.

    KDM5B demethylates H3K4me2 at TSC-enriched genes during differentiation. (A) Differentiated KDM5B-depleted TS cells exhibit elevated H3K4me2 ChIP-Seq levels relative to differentiated shLuc TS cells (See the Materials and Methods section for SICER-analysis; fold-change >1.5, FDR <0.001). (B) Venn diagrams showing overlap of H3K4me2 in day 14 differentiated shLuc and shKdm5b TS cells at SICER-defined islands. (C) Scatter plot of H3K4me2 densities at TSC ChIP-enriched peaks (log2 normalized tag density). (D) Boxplot of H3K4me2 density at TSC-defined ChIP-Seq peaks in shLuc and shKdm5b day 14 differentiated TS cells. (E) Heat maps of H3K4me2 densities at transcriptional start sites (TSS) in shLuc and shKdm5b day 14 differentiated TS cells (genes were sorted by their expression in undifferentiated TS cells). (F) Average profile of H3K4me2 in shLuc and shKdm5b day 14 differentiated TS cells. (G) Annotation of regions with increased H3K4me2 in shKdm5b versus shLuc day 14 differentiated TS cells using HOMER software. (H) GSEA of genes with increased H3K4me2 in shKdm5b versus shLuc day 14 differentiated TS cells. (I) Empirical cumulative distribution for the differentiation index (DI) of H3K4me2 across regions marked by H3K4me2 in undifferentiated TS cells for shLuc (orange) and shKdm5b (blue) TS cells. Y-axis shows the percentage of genes that exhibit a DI less than the value specified by the x-axis. A line shifted to the right means a systematic increase in the differentiation index. P-value for all <2.2E-16 (Kolmogorov–Smirnov test). Note the decreased DI for genes marked by H3K4me2 in shKdm5b TS cells. (J) Bright-field microscopy of day 14 differentiated shLuc and shKdm5b TS cells. (K) Percent viability of day 14 differentiated shLuc and shKdm5b TS cells.

Previous ArticleNext Article
Back to top
Previous ArticleNext Article

This Issue

RSSRSS

Keywords

  • Trophoblast stem cells
  • Multipotent
  • Epigenetics
  • Chromatin
  • ChIP-seq
  • KDM5B
  • H3K4me3
  • Differentiation
  • Histone demethylase

 Download PDF

Email

Thank you for your interest in spreading the word on Biology Open.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
KDM5B decommissions the H3K4 methylation landscape of self-renewal genes during trophoblast stem cell differentiation
(Your Name) has sent you a message from Biology Open
(Your Name) thought you would like to see the Biology Open web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Research Article
KDM5B decommissions the H3K4 methylation landscape of self-renewal genes during trophoblast stem cell differentiation
Jian Xu, Benjamin L. Kidder
Biology Open 2018 7: bio031245 doi: 10.1242/bio.031245 Published 10 May 2018
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Research Article
KDM5B decommissions the H3K4 methylation landscape of self-renewal genes during trophoblast stem cell differentiation
Jian Xu, Benjamin L. Kidder
Biology Open 2018 7: bio031245 doi: 10.1242/bio.031245 Published 10 May 2018

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Alerts

Please log in to add an alert for this article.

Sign in to email alerts with your email address

Article Navigation

  • Top
  • Article
    • ABSTRACT
    • INTRODUCTION
    • RESULTS
    • DISCUSSION
    • MATERIALS AND METHODS
    • Acknowledgements
    • Footnotes
    • References
  • Figures & tables
  • Info & metrics
  • eLetters
  • PDF

Related articles

Cited by...

More in this TOC section

  • Giraffes and hominins: reductionist model predictions of compressive loads at the spine base for erect exponents of the animal kingdom
  • The basal release of endothelium-derived catecholamines regulates the contractions of Chelonoidis carbonaria aorta caused by electrical-field stimulation
  • Smoking flies: Testing the effect of tobacco cigarettes on heart function of Drosophila melanogaster
Show more RESEARCH ARTICLE

Similar articles

Other journals from The Company of Biologists

Development

Journal of Cell Science

Journal of Experimental Biology

Disease Models & Mechanisms

Advertisement

Biology Open and COVID-19

We are aware that the COVID-19 pandemic is having an unprecedented impact on researchers worldwide. The Editors of all The Company of Biologists’ journals have been considering ways in which we can alleviate concerns that members of our community may have around publishing activities during this time. Read about the actions we are taking at this time.

Please don’t hesitate to contact the Editorial Office if you have any questions or concerns.


2020 at The Company of Biologists

Despite 2020’s challenges, we achieved a lot at The Company of Biologists. In the midst of the pandemic, we have seen long-term projects and new ventures come to fruition. Read our full lowdown of 2020.


Interview- Sebastian Markert

Sebastian Markert is first author of a paper in BiO using C. elegans to model amyotrophic lateral sclerosis. In an interview, he talks about the potential implications of his work and his future plans.


Three communities to support biologists to everywhere

Online communities have never been more important. If you’re looking for somewhere to meet fellow scientists, take part in topical discussions and find virtual events in your field, take a look at each of our community sites:

  • The Node: the community site for and by developmental biologists
  • preLights: the preprint highlights service run by the biological community
  • FocalPlane: the community site for microscopists and biologists alike

Articles

  • Accepted manuscripts
  • Issue in progress
  • Latest complete issue
  • Issue archive
  • Archive by article type
  • Interviews
  • Sign up for alerts

About us

  • About BiO
  • Editors and Board
  • Editor biographies
  • Grants and funding
  • Journal Meetings
  • Workshops
  • The Company of Biologists

For Authors

  • Submit a manuscript
  • Aims and scope
  • Presubmission enquiries
  • Article types
  • Manuscript preparation
  • Cover suggestions
  • Editorial process
  • Promoting your paper
  • Open Access

Journal Info

  • Journal policies
  • Rights and permissions
  • Media policies
  • Reviewer guide
  • Sign up for alerts

Contact

  • Contact BiO
  • Advertising
  • Feedback

Twitter   YouTube   LinkedIn

© 2021   The Company of Biologists Ltd   Registered Charity 277992