Marine Jeanmougin

  • Ass. Group leader, Scientist; PhD
  • +47 22 78 1730

Previous positions
Jan. 2013 - July 2015 - Post-doc in Biostatistics.
Immunity and Cancer Department, Institut Curie, Paris, France.

Jan. 2010 - Dec. 2012 – PhD student in Applied Mathematics (CNRS grant).
Statistics and Genome Laboratory (renamed “LaMME” in 2014), Evry, France.
Biostatistics and Bioinformatics department, Pharnext, Issy-les-Moulineaux, France.

Feb. 2009 - July 2009 – Research training.
Leung Lab, McGill University, Montreal, Canada.

Sept. 2008 - Jan 2009 – Research training.
CIT program, Ligue Nationale contre le Cancer, Paris, France.

Education
2012 - PhD in Applied Mathematics, University of Evry-Val-d’Essonne, Paris, France.
Title: Statistical methods for robust analysis of transcriptome data by integration of biological prior knowledge.

2009 – Engineer degree in Bioinformatics and Mathematical Modeling, INSA, Lyon, France.


Research area of interest
My area of expertise is Biostatistics and my interests are in both (i) applications to cancer biomedicine and (ii) statistical methodology.
More specifically, my current projects include the analysis of an intriguing subgroup of colorectal tumors, which have unusually little promoter hypermethylation. Using high-throughput methylome sequencing data, we aim at characterizing this novel subgroup at multiple levels and improve our understanding of the DNA methylation machinery and its association with cancer development. On the methodological side, my work spans several areas of statistics such as hypothesis testing approaches, variable selection, classification or network inference.

My motivation
“I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding,” (2009) Hal Varian, Chief Economist at Google.

Selected publications
Selected first or co-first authorship papers.

Jeanmougin M, Guedj M, Ambroise C (2012)
Defining a robust biological prior from Pathway Analysis to drive Network Inference
J-SFdS, Vol 152(2).

Dillies MA*, Rau A*, Aubert J*, Hennequet-Antier C*, Jeanmougin M*, Servant N, Keime C*, Marot G, Castel D, Estelle J, Guernec G, Jagla B, Jouneau L, Laloë D, Le Gall C, Schaëffer B, Le Crom S, Guedj M, Jaffrézic F, French StatOmique Consortium (2012)
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
Brief Bioinform, 14 (6), 671-83
PubMed 22988256

* These authors have contributed equally to this work.

Jeanmougin M, de Reynies A, Marisa L, Paccard C, Nuel G, Guedj M (2010)
Should we abandon the t-test in the analysis of gene expression microarray data: a comparison of variance modeling strategies
PLoS One, 5 (9), e12336
PubMed 20838429

 

Publications 2023

Jeanmougin M, Brodal HP, Dietrichson Pharo H, Vedeld HM, Lind GE (2023)
PoDCall: positive droplet calling and normalization of droplet digital PCR DNA methylation data
Bioinformatics, 39 (1)
DOI 10.1093/bioinformatics/btac766, PubMed 36448696

Publications 2022

Bergsland CH, Jeanmougin M, Moosavi SH, Svindland A, Bruun J, Nesbakken A, Sveen A, Lothe RA (2022)
Spatial analysis and CD25-expression identify regulatory T cells as predictors of a poor prognosis in colorectal cancer
Mod Pathol, 35 (9), 1236-1246
DOI 10.1038/s41379-022-01086-8, PubMed 35484226

Pharo HD, Jeanmougin M, Ager-Wick E, Vedeld HM, Sørbø AK, Dahl C, Larsen LK, Honne H, Brandt-Winge S, Five MB, Monteiro-Reis S, Henrique R, Jeronimo C, Steven K, Wahlqvist R, Guldberg P, Lind GE (2022)
BladMetrix: a novel urine DNA methylation test with high accuracy for detection of bladder cancer in hematuria patients
Clin Epigenetics, 14 (1), 115
DOI 10.1186/s13148-022-01335-2, PubMed 36115961

Pinto R, Hauge T, Jeanmougin M, Pharo HD, Kresse SH, Honne H, Winge SB, Five MB, Kumar T, Mala T, Hauge T, Johnson E, Lind GE (2022)
Targeted genetic and epigenetic profiling of esophageal adenocarcinomas and non-dysplastic Barrett's esophagus
Clin Epigenetics, 14 (1), 77
DOI 10.1186/s13148-022-01287-7, PubMed 35701814

Publications 2021

Vedeld HM, Grimsrud MM, Andresen K, Pharo HD, von Seth E, Karlsen TH, Honne H, Paulsen V, Färkkilä MA, Bergquist A, Jeanmougin M, Aabakken L, Boberg KM, Folseraas T, Lind GE (2021)
Early and accurate detection of cholangiocarcinoma in patients with primary sclerosing cholangitis by methylation markers in bile
Hepatology, 75 (1), 59-73
DOI 10.1002/hep.32125, PubMed 34435693

Publications 2020

Flatin BTB, Vedeld HM, Pinto R, Langerud J, Lind GE, Lothe RA, Sveen A, Jeanmougin M (2020)
Multiregional assessment of CIMP in primary colorectal cancers: Phenotype concordance but marker variability
Int J Cancer, 148 (7), 1652-1657
DOI 10.1002/ijc.33425, PubMed 33284993

Jeanmougin M, Håvik AB, Cekaite L, Brandal P, Sveen A, Meling TR, Ågesen TH, Scheie D, Heim S, Lothe RA, Lind GE (2020)
Improved prognostication of glioblastoma beyond molecular subtyping by transcriptional profiling of the tumor microenvironment
Mol Oncol, 14 (5), 1016-1027
DOI 10.1002/1878-0261.12668, PubMed 32171051

Publications 2019

Fyhrquist N, Muirhead G, Prast-Nielsen S, Jeanmougin M, Olah P, Skoog T, Jules-Clement G, Feld M, Barrientos-Somarribas M, Sinkko H, van den Bogaard EH, Zeeuwen PLJM, Rikken G, Schalkwijk J, Niehues H, Däubener W, Eller SK, Alexander H, Pennino D, Suomela S, Tessas I, Lybeck E, Baran AM, Darban H, Gangwar RS et al. (2019)
Microbe-host interplay in atopic dermatitis and psoriasis
Nat Commun, 10 (1), 4703
DOI 10.1038/s41467-019-12253-y, PubMed 31619666

Publications 2018

Pharo HD, Andresen K, Berg KCG, Lothe RA, Jeanmougin M, Lind GE (2018)
A robust internal control for high-precision DNA methylation analyses by droplet digital PCR
Clin Epigenetics, 10, 24
DOI 10.1186/s13148-018-0456-5, PubMed 29484034

Publications 2017

Lind GE, Guriby M, Ahlquist T, Hussain I, Jeanmougin M, Søreide K, Kørner H, Lothe RA, Nordgård O (2017)
Prognostic relevance of an epigenetic biomarker panel in sentinel lymph nodes from colon cancer patients
Clin Epigenetics, 9, 97
DOI 10.1186/s13148-017-0397-4, PubMed 28878843

Vedeld HM, Merok M, Jeanmougin M, Danielsen SA, Honne H, Presthus GK, Svindland A, Sjo OH, Hektoen M, Eknaes M, Nesbakken A, Lothe RA, Lind GE (2017)
CpG island methylator phenotype identifies high risk patients among microsatellite stable BRAF mutated colorectal cancers
Int J Cancer, 141 (5), 967-976
DOI 10.1002/ijc.30796, PubMed 28542846

Publications 2016

Pharo HD, Honne H, Vedeld HM, Dahl C, Andresen K, Liestøl K, Jeanmougin M, Guldberg P, Lind GE (2016)
Experimental factors affecting the robustness of DNA methylation analysis
Sci Rep, 6, 33936
DOI 10.1038/srep33936, PubMed 27671843

Publications 2015

Ghirelli C, Reyal F, Jeanmougin M, Zollinger R, Sirven P, Michea P, Caux C, Bendriss-Vermare N, Donnadieu MH, Caly M, Fourchotte V, Vincent-Salomon A, Sigal-Zafrani B, Sastre-Garau X, Soumelis V (2015)
Breast Cancer Cell-Derived GM-CSF Licenses Regulatory Th2 Induction by Plasmacytoid Predendritic Cells in Aggressive Disease Subtypes
Cancer Res, 75 (14), 2775-87
DOI 10.1158/0008-5472.CAN-14-2386, PubMed 25977333

Publications 2014

Martínez-Cingolani C, Grandclaudon M, Jeanmougin M, Jouve M, Zollinger R, Soumelis V (2014)
Human blood BDCA-1 dendritic cells differentiate into Langerhans-like cells with thymic stromal lymphopoietin and TGF-β
Blood, 124 (15), 2411-20
DOI 10.1182/blood-2014-04-568311, PubMed 25114264

Publications 2012

Bouaziz M, Jeanmougin M, Guedj M (2012)
Multiple testing in large-scale genetic studies
Methods Mol Biol, 888, 213-33
DOI 10.1007/978-1-61779-870-2_13, PubMed 22665284

Dillies MA, Rau A, Aubert J, Hennequet-Antier C, Jeanmougin M, Servant N, Keime C, Marot G, Castel D, Estelle J, Guernec G, Jagla B, Jouneau L, Laloë D, Le Gall C, Schaëffer B, Le Crom S, Guedj M, Jaffrézic F, French StatOmique Consortium (2012)
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
Brief Bioinform, 14 (6), 671-83
DOI 10.1093/bib/bbs046, PubMed 22988256

Publications 2010

Jeanmougin M, de Reynies A, Marisa L, Paccard C, Nuel G, Guedj M (2010)
Should we abandon the t-test in the analysis of gene expression microarray data: a comparison of variance modeling strategies
PLoS One, 5 (9), e12336
DOI 10.1371/journal.pone.0012336, PubMed 20838429

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