Literature DB >> 32900967

p53 drives a transcriptional program that elicits a non-cell-autonomous response and alters cell state in vivo.

Sydney M Moyer1,2, Amanda R Wasylishen2, Yuan Qi3, Natalie Fowlkes4, Xiaoping Su3, Guillermina Lozano5,2.   

Abstract

Cell stress and DNA damage activate the tumor suppressor p53, triggering transcriptional activation of a myriad of target genes. The molecular, morphological, and physiological consequences of this activation remain poorly understood in vivo. We activated a p53 transcriptional program in mice by deletion of Mdm2, a gene that encodes the major p53 inhibitor. By overlaying tissue-specific RNA-sequencing data from pancreas, small intestine, ovary, kidney, and heart with existing p53 chromatin immunoprecipitation (ChIP) sequencing, we identified a large repertoire of tissue-specific p53 genes and a common p53 transcriptional signature of seven genes, which included Mdm2 but not p21 Global p53 activation caused a metaplastic phenotype in the pancreas that was missing in mice with acinar-specific p53 activation, suggesting non-cell-autonomous effects. The p53 cellular response at single-cell resolution in the intestine altered transcriptional cell state, leading to a proximal enterocyte population enriched for genes within oxidative phosphorylation pathways. In addition, a population of active CD8+ T cells was recruited. Combined, this study provides a comprehensive profile of the p53 transcriptional response in vivo, revealing both tissue-specific transcriptomes and a unique signature, which were integrated to induce both cell-autonomous and non-cell-autonomous responses and transcriptional plasticity.

Entities:  

Keywords:  Mdm2; p53; signature; single-cell sequencing; transcriptome

Mesh:

Substances:

Year:  2020        PMID: 32900967      PMCID: PMC7519296          DOI: 10.1073/pnas.2008474117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  60 in total

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Authors:  Kelly D Sullivan; Matthew D Galbraith; Zdenek Andrysik; Joaquin M Espinosa
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Review 10.  Mdm proteins: critical regulators of embry ogenesis and homeostasis.

Authors:  Sydney M Moyer; Connie A Larsson; Guillermina Lozano
Journal:  J Mol Cell Biol       Date:  2017-01-15       Impact factor: 6.216

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  10 in total

Review 1.  Is loss of p53 a driver of ductal carcinoma in situ progression?

Authors:  Rhiannon L Morrissey; Alastair M Thompson; Guillermina Lozano
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2.  Systematic lncRNA mapping to genome-wide co-essential modules uncovers cancer dependency on uncharacterized lncRNAs.

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Review 3.  p53 and Tumor Suppression: It Takes a Network.

Authors:  Anthony M Boutelle; Laura D Attardi
Journal:  Trends Cell Biol       Date:  2021-01-28       Impact factor: 20.808

4.  Differential Gain-of-Function Activity of Three p53 Hotspot Mutants In Vivo.

Authors:  Shunbin Xiong; Dhruv Chachad; Yun Zhang; Jovanka Gencel-Augusto; Mario Sirito; Vinod Pant; Peirong Yang; Chang Sun; Gilda Chau; Yuan Qi; Xiaoping Su; Elizabeth M Whitley; Adel K El-Naggar; Guillermina Lozano
Journal:  Cancer Res       Date:  2022-05-16       Impact factor: 13.312

Review 5.  Metformin: Metabolic Rewiring Faces Tumor Heterogeneity.

Authors:  Mario Cioce; Claudio Pulito; Sabrina Strano; Giovanni Blandino; Vito Michele Fazio
Journal:  Cells       Date:  2020-11-09       Impact factor: 6.600

6.  p53 dynamics vary between tissues and are linked with radiation sensitivity.

Authors:  Jacob Stewart-Ornstein; Yoshiko Iwamoto; Miles A Miller; Mark A Prytyskach; Stephane Ferretti; Philipp Holzer; Joerg Kallen; Pascal Furet; Ashwini Jambhekar; William C Forrester; Ralph Weissleder; Galit Lahav
Journal:  Nat Commun       Date:  2021-02-09       Impact factor: 14.919

Review 7.  Differential p53-Mediated Cellular Responses to DNA-Damaging Therapeutic Agents.

Authors:  Lindsey Carlsen; Wafik S El-Deiry
Journal:  Int J Mol Sci       Date:  2021-10-31       Impact factor: 5.923

8.  Time-series transcriptomics and proteomics reveal alternative modes to decode p53 oscillations.

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Journal:  Mol Syst Biol       Date:  2022-03       Impact factor: 11.429

9.  A p53 transcriptional signature in primary and metastatic cancers derived using machine learning.

Authors:  Faeze Keshavarz-Rahaghi; Erin Pleasance; Tyler Kolisnik; Steven J M Jones
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10.  The p53 transcriptional response across tumor types reveals core and senescence-specific signatures modulated by long noncoding RNAs.

Authors:  Ephrath Tesfaye; Elena Martinez-Terroba; Jordan Bendor; Lauren Winkler; Christiane Olivero; Kevin Chen; David M Feldser; Jesse R Zamudio; Nadya Dimitrova
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  10 in total

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