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Pongor LS, Schultz CW, Rinaldi L, Wangsa D, Redon CE, Takahashi N, Fialkoff G, Desai P, Zhang Y, Burkett S, Hermoni N, Vilk N, Gutin J, Gergely R, Zhao Y, Nichols S, Vilimas R, Sciuto L, Graham C, Caravaca JM, Turan S, Tsai-Wei S, Rajapakse VN, Kumar R, Upadhyay D, Kumar S, Kim YS, Roper N, Tran B, Hewitt SM, Kleiner DE, Aladjem MI, Friedman N, Hager GL, Pommier Y, Ried T, Thomas A. Extrachromosomal DNA Amplification Contributes to Small Cell Lung Cancer Heterogeneity and Is Associated with Worse Outcomes. Cancer Discov 2023; 13:928-949. [PMID: 36715552 PMCID: PMC10073312 DOI: 10.1158/2159-8290.cd-22-0796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/10/2022] [Accepted: 01/26/2023] [Indexed: 01/31/2023]
Abstract
Small-cell lung cancer (SCLC) is an aggressive neuroendocrine lung cancer. Oncogenic MYC amplifications drive SCLC heterogeneity, but the genetic mechanisms of MYC amplification and phenotypic plasticity, characterized by neuroendocrine and nonneuroendocrine cell states, are not known. Here, we integrate whole-genome sequencing, long-range optical mapping, single-cell DNA sequencing, and fluorescence in situ hybridization to find extrachromosomal DNA (ecDNA) as a primary source of SCLC oncogene amplifications and driver fusions. ecDNAs bring to proximity enhancer elements and oncogenes, creating SCLC transcription-amplifying units, driving exceptionally high MYC gene dosage. We demonstrate that cell-free nucleosome profiling can noninvasively detect ecDNA amplifications in plasma, facilitating its genome-wide interrogation in SCLC and other cancers. Altogether, our work provides the first comprehensive map of SCLC ecDNA and describes a new mechanism that governs MYC-driven SCLC heterogeneity. ecDNA-enabled transcriptional flexibility may explain the significantly worse survival outcomes of SCLC harboring complex ecDNA amplifications. SIGNIFICANCE MYC drives SCLC progression, but the genetic basis of MYC-driven SCLC evolution is unknown. Using SCLC as a paradigm, we report how ecDNA amplifications function as MYC-amplifying units, fostering tumor plasticity and a high degree of tumor heterogeneity. This article is highlighted in the In This Issue feature, p. 799.
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Affiliation(s)
- Lőrinc Sándor Pongor
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
- HCEMM Cancer Genomics and Epigenetics Research Group, Szeged, Hungary
| | - Christopher W Schultz
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Lorenzo Rinaldi
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Darawalee Wangsa
- Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Christophe E Redon
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nobuyuki Takahashi
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Gavriel Fialkoff
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Parth Desai
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Yang Zhang
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sandra Burkett
- Molecular Cytogenetic Core Facility, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland
| | - Nadav Hermoni
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- School of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Noa Vilk
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- School of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Jenia Gutin
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rona Gergely
- Department of Biochemistry and Molecular Pharmacology, NYU, New York, New York
- Laura and Isaac Perlmutter NYU Cancer Center, New York, New York
- Howard Hughes Medical Institute, New York University Grossman School of Medicine, New York, New York
| | - Yongmei Zhao
- Bioinformatics and Computational Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Samantha Nichols
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Rasa Vilimas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Linda Sciuto
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Chante Graham
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Juan Manuel Caravaca
- Bioinformatics and Computational Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Sevilay Turan
- Bioinformatics and Computational Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Shen Tsai-Wei
- Howard Hughes Medical Institute, New York University Grossman School of Medicine, New York, New York
| | - Vinodh N Rajapakse
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Rajesh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Deep Upadhyay
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Suresh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Yoo Sun Kim
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nitin Roper
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bao Tran
- Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Stephen M Hewitt
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - David E Kleiner
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mirit I Aladjem
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nir Friedman
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- School of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Yves Pommier
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Thomas Ried
- Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Sadeh R, Sharkia I, Fialkoff G, Rahat A, Gutin J, Chappleboim A, Nitzan M, Fox-Fisher I, Neiman D, Meler G, Kamari Z, Yaish D, Peretz T, Hubert A, Cohen JE, Salah A, Temper M, Grinshpun A, Maoz M, Abu-Gazala S, Ya’acov AB, Shteyer E, Safadi R, Kaplan T, Shemer R, Planer D, Galun E, Glaser B, Zick A, Dor Y, Friedman N. ChIP-seq of plasma cell-free nucleosomes identifies gene expression programs of the cells of origin. Nat Biotechnol 2021; 39:586-598. [PMID: 33432199 PMCID: PMC7610786 DOI: 10.1038/s41587-020-00775-6] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 11/17/2020] [Indexed: 01/29/2023]
Abstract
Cell-free DNA (cfDNA) in human plasma provides access to molecular information about the pathological processes in the organs or tumors from which it originates. These DNA fragments are derived from fragmented chromatin in dying cells and retain some of the cell-of-origin histone modifications. In this study, we applied chromatin immunoprecipitation of cell-free nucleosomes carrying active chromatin modifications followed by sequencing (cfChIP-seq) to 268 human samples. In healthy donors, we identified bone marrow megakaryocytes, but not erythroblasts, as major contributors to the cfDNA pool. In patients with a range of liver diseases, we showed that we can identify pathology-related changes in hepatocyte transcriptional programs. In patients with metastatic colorectal carcinoma, we detected clinically relevant and patient-specific information, including transcriptionally active human epidermal growth factor receptor 2 (HER2) amplifications. Altogether, cfChIP-seq, using low sequencing depth, provides systemic and genome-wide information and can inform diagnosis and facilitate interrogation of physiological and pathological processes using blood samples.
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Affiliation(s)
- Ronen Sadeh
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Israa Sharkia
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gavriel Fialkoff
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ayelet Rahat
- The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Jenia Gutin
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Alon Chappleboim
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Mor Nitzan
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ilana Fox-Fisher
- Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Daniel Neiman
- Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Guy Meler
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Zahala Kamari
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dayana Yaish
- The Goldyne Savad Institute for Gene Therapy, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Tamar Peretz
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ayala Hubert
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Jonathan E Cohen
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel,The Wohl institute for Translational Medicine, Hadassah Medical Center
| | - Azzam Salah
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Mark Temper
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Albert Grinshpun
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Myriam Maoz
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Samir Abu-Gazala
- Department of Surgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ami Ben Ya’acov
- The Juliet Keidan Institute of Pediatric Gastroenterology Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Eyal Shteyer
- The Juliet Keidan Institute of Pediatric Gastroenterology Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Rifaat Safadi
- The Liver Unit, Institute of Gastroenterology and Liver Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Tommy Kaplan
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ruth Shemer
- Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - David Planer
- Department of Cardiology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Eithan Galun
- The Goldyne Savad Institute for Gene Therapy, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Benjamin Glaser
- Dept of Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Aviad Zick
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Yuval Dor
- Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Nir Friedman
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel,The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel,lead contact:
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Gutin J, Joseph‐Strauss D, Sadeh A, Shalom E, Friedman N. Genetic screen of the yeast environmental stress response dynamics uncovers distinct regulatory phases. Mol Syst Biol 2019; 15:e8939. [PMID: 31464369 PMCID: PMC6711295 DOI: 10.15252/msb.20198939] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 07/21/2019] [Accepted: 07/29/2019] [Indexed: 11/09/2022] Open
Abstract
Cells respond to environmental fluctuations by regulating multiple transcriptional programs. This response can be studied by measuring the effect of environmental changes on the transcriptome or the proteome of the cell at the end of the response. However, the dynamics of the response reflect the working of the regulatory mechanisms in action. Here, we utilized a fluorescent stress reporter gene to track the dynamics of protein production in yeast responding to environmental stress. The response is modulated by changes in both the duration and rate of transcription. We probed the underlying molecular pathways controlling these two dimensions using a library of ~1,600 single- and double-mutant strains. Dissection of the effects of these mutants and the interactions between them identified distinct modulators of response duration and response rate. Using a combination of mRNA-seq and live-cell microscopy, we uncover mechanisms by which Msn2/4, Mck1, Msn5, and the cAMP/PKA pathway modulate the response of a large module of stress-induced genes in two discrete regulatory phases. Our results and analysis show that transcriptional stress response is regulated by multiple mechanisms that overlap in time and cellular location.
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Affiliation(s)
- Jenia Gutin
- School of Computer Science and Engineering and Institute of Life SciencesThe Hebrew University of JerusalemJerusalemIsrael
| | - Daphna Joseph‐Strauss
- School of Computer Science and Engineering and Institute of Life SciencesThe Hebrew University of JerusalemJerusalemIsrael
| | - Amit Sadeh
- School of Computer Science and Engineering and Institute of Life SciencesThe Hebrew University of JerusalemJerusalemIsrael
| | - Eli Shalom
- School of Computer Science and Engineering and Institute of Life SciencesThe Hebrew University of JerusalemJerusalemIsrael
| | - Nir Friedman
- School of Computer Science and Engineering and Institute of Life SciencesThe Hebrew University of JerusalemJerusalemIsrael
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Radzinski M, Fassler R, Yogev O, Breuer W, Shai N, Gutin J, Ilyas S, Geffen Y, Tsytkin-Kirschenzweig S, Nahmias Y, Ravid T, Friedman N, Schuldiner M, Reichmann D. Temporal profiling of redox-dependent heterogeneity in single cells. eLife 2018; 7:37623. [PMID: 29869985 PMCID: PMC6023615 DOI: 10.7554/elife.37623] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/04/2018] [Indexed: 01/22/2023] Open
Abstract
Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. Here, we have created a novel methodology to track redox status at single cell resolution using the redox-sensitive probe Grx1-roGFP2. Our method allows identification and sorting of sub-populations with different oxidation levels in either the cytosol, mitochondria or peroxisomes. Using this approach, we defined a redox-dependent heterogeneity of yeast cells and characterized growth, as well as proteomic and transcriptomic profiles of distinctive redox subpopulations. We report that, starting in late logarithmic growth, cells of the same age have a bi-modal distribution of oxidation status. A comparative proteomic analysis between these populations identified three key proteins, Hsp30, Dhh1, and Pnc1, which affect basal oxidation levels and may serve as first line of defense proteins in redox homeostasis.
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Affiliation(s)
- Meytal Radzinski
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rosi Fassler
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ohad Yogev
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - William Breuer
- Proteomics and Mass Spectrometry Unit, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nadav Shai
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Jenia Gutin
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel.,School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sidra Ilyas
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yifat Geffen
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sabina Tsytkin-Kirschenzweig
- Grass Center for Bioengineering, Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yaakov Nahmias
- Grass Center for Bioengineering, Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Tommer Ravid
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nir Friedman
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel.,School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Maya Schuldiner
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Dana Reichmann
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Safra Campus Givat Ram, The Hebrew University of Jerusalem, Jerusalem, Israel
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Gutin J, Sadeh A, Rahat A, Aharoni A, Friedman N. Condition-specific genetic interaction maps reveal crosstalk between the cAMP/PKA and the HOG MAPK pathways in the activation of the general stress response. Mol Syst Biol 2015; 11:829. [PMID: 26446933 PMCID: PMC4631200 DOI: 10.15252/msb.20156451] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Cells must quickly respond and efficiently adapt to environmental changes. The yeast Saccharomyces cerevisiae has multiple pathways that respond to specific environmental insults, as well as a generic stress response program. The later is regulated by two transcription factors, Msn2 and Msn4, that integrate information from upstream pathways to produce fast, tunable, and robust response to different environmental changes. To understand this integration, we employed a systematic approach to genetically dissect the contribution of various cellular pathways to Msn2/4 regulation under a range of stress and growth conditions. We established a high-throughput liquid handling and automated flow cytometry system and measured GFP levels in 68 single-knockout and 1,566 double-knockout strains that carry an HSP12-GFP allele as a reporter for Msn2/4 activity. Based on the expression of this Msn2/4 reporter in five different conditions, we identified numerous genetic and epistatic interactions between different components in the network upstream to Msn2/4. Our analysis gains new insights into the functional specialization of the RAS paralogs in the repression of stress response and identifies a three-way crosstalk between the Mediator complex, the HOG MAPK pathway, and the cAMP/PKA pathway.
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Affiliation(s)
- Jenia Gutin
- School of Computer Science & Engineering Institute of Life Sciences Hebrew University, Jerusalem, Israel
| | - Amit Sadeh
- School of Computer Science & Engineering Institute of Life Sciences Hebrew University, Jerusalem, Israel
| | - Ayelet Rahat
- School of Computer Science & Engineering Institute of Life Sciences Hebrew University, Jerusalem, Israel
| | - Amir Aharoni
- Department of Life Science, National Institute for Biotechnology in the Negev Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Nir Friedman
- School of Computer Science & Engineering Institute of Life Sciences Hebrew University, Jerusalem, Israel
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