Comparative genetic screens in human cells reveal new regulatory mechanisms in WNT signaling

  1. Andres M Lebensohn
  2. Ramin Dubey
  3. Leif R Neitzel
  4. Ofelia Tacchelly-Benites
  5. Eungi Yang
  6. Caleb D Marceau
  7. Eric M Davis
  8. Bhaven B Patel
  9. Zahra Bahrami-Nejad
  10. Kyle J Travaglini
  11. Yashi Ahmed
  12. Ethan Lee
  13. Jan E Carette  Is a corresponding author
  14. Rajat Rohatgi  Is a corresponding author
  1. Stanford University School of Medicine, United States
  2. Vanderbilt University Medical Center, United States
  3. Geisel School of Medicine at Dartmouth College, United States
  4. University of Colorado, Boulder, United States

Abstract

The comprehensive understanding of cellular signaling pathways remains a challenge due to multiple layers of regulation that may become evident only when the pathway is probed at different levels or critical nodes are eliminated. To discover regulatory mechanisms in canonical WNT signaling, we conducted a systematic forward genetic analysis through reporter-based screens in haploid human cells. Comparison of screens for negative, sensitizing and positive regulators of WNT signaling, mediators of R-spondin-dependent signaling and suppressors of constitutive signaling induced by loss of the tumor suppressor APC or casein kinase 1α uncovered new regulatory features at many levels of the pathway. These include a requirement for the transcription factor TFAP4, a role for the DAX domain of AXIN2 in controlling β-catenin activity, a contribution of GPI anchor biosynthetic enzymes and glypicans to R-spondin-potentiated signaling, and two different mechanisms that regulate signaling when distinct components of the β-catenin destruction complex are lost.

Data availability

The following data sets were generated

Article and author information

Author details

  1. Andres M Lebensohn

    Department of Biochemistry, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Ramin Dubey

    Department of Biochemistry, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Leif R Neitzel

    Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Ofelia Tacchelly-Benites

    Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Eungi Yang

    Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Caleb D Marceau

    Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Eric M Davis

    Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, Boulder, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Bhaven B Patel

    Department of Biochemistry, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Zahra Bahrami-Nejad

    Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Kyle J Travaglini

    Department of Biochemistry, Stanford University School of Medicine, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Yashi Ahmed

    Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Ethan Lee

    Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Jan E Carette

    Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, United States
    For correspondence
    carette@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
  14. Rajat Rohatgi

    Department of Biochemistry, Stanford University School of Medicine, Stanford, United States
    For correspondence
    rrohatgi@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7609-8858

Funding

National Institutes of Health (DP2 AI104557,DP2 GM105448,R01 GM081635,R01 GM103926,RO1 CA105038)

  • Yashi Ahmed
  • Ethan Lee
  • Jan E Carette
  • Rajat Rohatgi

National Science Foundation (DBI-1039423)

  • Yashi Ahmed

David and Lucile Packard Foundation (Fellow Award)

  • Jan E Carette

Helen Hay Whitney Foundation (Novartis Fellowship)

  • Andres M Lebensohn

Stanford University School of Medicine (Josephine Q. Berry Fellowship)

  • Rajat Rohatgi

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Utpal Banerjee, University of California, Los Angeles, United States

Version history

  1. Received: September 13, 2016
  2. Accepted: December 7, 2016
  3. Accepted Manuscript published: December 20, 2016 (version 1)
  4. Accepted Manuscript updated: December 22, 2016 (version 2)
  5. Version of Record published: January 23, 2017 (version 3)
  6. Version of Record updated: February 1, 2017 (version 4)

Copyright

© 2016, Lebensohn et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 6,805
    views
  • 1,381
    downloads
  • 46
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Andres M Lebensohn
  2. Ramin Dubey
  3. Leif R Neitzel
  4. Ofelia Tacchelly-Benites
  5. Eungi Yang
  6. Caleb D Marceau
  7. Eric M Davis
  8. Bhaven B Patel
  9. Zahra Bahrami-Nejad
  10. Kyle J Travaglini
  11. Yashi Ahmed
  12. Ethan Lee
  13. Jan E Carette
  14. Rajat Rohatgi
(2016)
Comparative genetic screens in human cells reveal new regulatory mechanisms in WNT signaling
eLife 5:e21459.
https://doi.org/10.7554/eLife.21459

Share this article

https://doi.org/10.7554/eLife.21459

Further reading

    1. Genetics and Genomics
    2. Neuroscience
    Bohan Zhu, Richard I Ainsworth ... Javier González-Maeso
    Research Article

    Genome-wide association studies have revealed >270 loci associated with schizophrenia risk, yet these genetic factors do not seem to be sufficient to fully explain the molecular determinants behind this psychiatric condition. Epigenetic marks such as post-translational histone modifications remain largely plastic during development and adulthood, allowing a dynamic impact of environmental factors, including antipsychotic medications, on access to genes and regulatory elements. However, few studies so far have profiled cell-specific genome-wide histone modifications in postmortem brain samples from schizophrenia subjects, or the effect of antipsychotic treatment on such epigenetic marks. Here, we conducted ChIP-seq analyses focusing on histone marks indicative of active enhancers (H3K27ac) and active promoters (H3K4me3), alongside RNA-seq, using frontal cortex samples from antipsychotic-free (AF) and antipsychotic-treated (AT) individuals with schizophrenia, as well as individually matched controls (n=58). Schizophrenia subjects exhibited thousands of neuronal and non-neuronal epigenetic differences at regions that included several susceptibility genetic loci, such as NRG1, DISC1, and DRD3. By analyzing the AF and AT cohorts separately, we identified schizophrenia-associated alterations in specific transcription factors, their regulatees, and epigenomic and transcriptomic features that were reversed by antipsychotic treatment; as well as those that represented a consequence of antipsychotic medication rather than a hallmark of schizophrenia in postmortem human brain samples. Notably, we also found that the effect of age on epigenomic landscapes was more pronounced in frontal cortex of AT-schizophrenics, as compared to AF-schizophrenics and controls. Together, these data provide important evidence of epigenetic alterations in the frontal cortex of individuals with schizophrenia, and remark for the first time on the impact of age and antipsychotic treatment on chromatin organization.

    1. Cancer Biology
    2. Genetics and Genomics
    Kevin Nuno, Armon Azizi ... Ravindra Majeti
    Research Article

    Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.