. American-psychiatric-association, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR), 2000.
DOI : 10.1176/appi.books.9780890423349

B. M. Andrus, K. Blizinsky, P. T. Vedell, K. Dennis, P. K. Shukla et al., Gene expression patterns in the hippocampus and amygdala of endogenous depression and chronic stress models, Molecular Psychiatry, vol.93, issue.1, pp.49-61, 2012.
DOI : 10.1016/j.nlm.2009.11.003

J. Arloth, R. Bogdan, P. Weber, G. Frishman, A. Menke et al., Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders, Neuron, vol.86, issue.5, pp.1189-1202, 2015.
DOI : 10.1016/j.neuron.2015.05.034

R. C. Bagot, H. M. Cates, I. Purushothaman, Z. S. Lorsch, D. M. Walker et al., Circuit-wide Transcriptional Profiling Reveals Brain Region-Specific Gene Networks Regulating Depression Susceptibility, Neuron, vol.90, issue.5, pp.969-983, 2016.
DOI : 10.1016/j.neuron.2016.04.015

R. C. Bagot, H. M. Cates, I. Purushothaman, V. Vialou, E. A. Heller et al., Ketamine and Imipramine Reverse Transcriptional Signatures of Susceptibility and Induce Resilience-Specific Gene Expression Profiles, Biological Psychiatry, vol.81, issue.4, pp.285-295, 2017.
DOI : 10.1016/j.biopsych.2016.06.012

R. Belzeaux, A. Bergon, V. Jeanjean, B. Loriod, C. Formisano-tréziny et al., Responder and nonresponder patients exhibit different peripheral transcriptional signatures during major depressive episode, Translational Psychiatry, vol.101, issue.11, 2012.
DOI : 10.1007/s11920-010-0160-4

URL : http://doi.org/10.1038/tp.2012.112

F. Bengsch, Z. Tu, H. Tang, H. Zhu, D. W. Speicher et al., Comprehensive analysis of the ubiquitinome during oncogene-induced senescence in human fibroblasts, Cell Cycle, vol.14, issue.10, pp.1540-1547, 2015.
DOI : 10.1038/nbt.1511

B. Bertsch, C. A. Ogden, K. Sidhu, H. Le-niculescu, R. Kuczenski et al., Convergent functional genomics: A Bayesian candidate gene identification approach for complex disorders, Methods, vol.37, issue.3, pp.274-279, 2005.
DOI : 10.1016/j.ymeth.2005.03.012

M. S. Breen, D. J. Stein, and D. S. Baldwin, Systematic review of blood transcriptome profiling in neuropsychiatric disorders: guidelines for biomarker discovery, Human Psychopharmacology: Clinical and Experimental, vol.4, issue.1, pp.373-381, 2016.
DOI : 10.2202/1544-6115.1128

B. Breitenstein, S. Scheuer, and F. Holsboer, Are there meaningful biomarkers of treatment response for depression?, Drug Discovery Today, vol.19, issue.5, 2014.
DOI : 10.1016/j.drudis.2014.02.002

J. C. Chuang, H. Cui, B. L. Mason, M. Mahgoub, A. L. Bookout et al., Chronic social defeat stress disrupts regulation of lipid synthesis, Journal of Lipid Research, vol.118, issue.6, pp.1344-1353, 2010.
DOI : 10.1530/acta.0.1270279

M. A. Cortez, C. Bueso-ramos, J. Ferdin, G. Lopez-berestein, A. K. Sood et al., MicroRNAs in body fluids???the mix of hormones and biomarkers, Nature Reviews Clinical Oncology, vol.135, issue.8, pp.467-47776, 2011.
DOI : 10.1016/0378-1119(93)90046-6

C. Crozatier, S. Farley, I. M. Mansuy, S. Dumas, B. Giros et al., Calcineurin (protein phosphatase 2B) is involved in the mechanisms of action of antidepressants, Neuroscience, vol.144, issue.4, pp.1470-1476, 2007.
DOI : 10.1016/j.neuroscience.2006.11.030

M. M. Darby, R. H. Yolken, and S. Sabunciyan, Consistently altered expression of gene sets in postmortem brains of individuals with major psychiatric disorders, Translational Psychiatry, vol.460, issue.9, 2016.
DOI : 10.1038/srep03539

N. P. Daskalakis, H. Cohen, G. Cai, J. D. Buxbaum, Y. et al., Expression profiling associates blood and brain glucocorticoid receptor signaling with trauma-related individual differences in both sexes, Proceedings of the National Academy of Sciences, vol.111, issue.37, pp.13529-13534, 2014.
DOI : 10.1093/bioinformatics/btn224

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169965

J. Davis, M. Maes, A. Andreazza, J. J. Mcgrath, S. J. Tye et al., Towards a classification of biomarkers of neuropsychiatric disease: from encompass to compass, Molecular Psychiatry, vol.20, issue.2, pp.152-153, 2015.
DOI : 10.1136/jnnp-2011-301779

D. Planell-saguer, M. Schroeder, D. G. Rodicio, M. C. Cox, G. A. et al., Biochemical and genetic evidence for a role of IGHMBP2 in the translational machinery, Human Molecular Genetics, vol.18, issue.12, pp.2115-2126, 2009.
DOI : 10.1093/hmg/ddp134

G. Descalzi, V. Mitsi, I. Purushothaman, S. Gaspari, K. Avrampou et al., Neuropathic pain promotes adaptive changes in gene expression in brain networks involved in stress and depression, Science Signaling, vol.7, issue.471, 2017.
DOI : 10.1016/j.neuron.2008.08.024

K. A. Garbett, A. Vereczkei, S. Kálmán, L. Wang, ?. Korade et al., Fibroblasts from patients with major depressive disorder show distinct transcriptional response to metabolic stressors, Translational Psychiatry, vol.45, issue.3, 2015.
DOI : 10.1093/cercor/bhq262

URL : http://doi.org/10.1038/tp.2015.14

P. Girardi, M. Pompili, M. Innamorati, M. Mancini, G. Serafini et al., Duloxetine in acute major depression: review of comparisons to placebo and standard antidepressants using dissimilar methods, Human Psychopharmacology: Clinical and Experimental, vol.43, issue.3, pp.177-190, 2009.
DOI : 10.1017/S1092852900019726

P. Gormanns, N. S. Mueller, C. Ditzen, S. Wolf, F. Holsboer et al., Phenome-transcriptome correlation unravels anxiety and depression related pathways, Journal of Psychiatric Research, vol.45, issue.7, pp.973-979, 2011.
DOI : 10.1016/j.jpsychires.2010.12.010

J. P. Guilloux, S. Bassi, Y. Ding, C. Walsh, G. Turecki et al., Testing the Predictive Value of Peripheral Gene Expression for Nonremission Following Citalopram Treatment for Major Depression, Neuropsychopharmacology, vol.14, issue.3, pp.701-710, 2015.
DOI : 10.1007/7854_2012_211

A. Gururajan, G. Clarke, T. G. Dinan, and J. F. And-cryan, Molecular biomarkers of depression, Neuroscience & Biobehavioral Reviews, vol.64, 2016.
DOI : 10.1016/j.neubiorev.2016.02.011

K. A. Hestad, K. Engedal, J. E. Whist, P. Aukrust, P. G. Farup et al., Patients with depression display cytokine levels in serum and cerebrospinal fluid similar to patients with diffuse neurological symptoms without a defined diagnosis, Neuropsychiatric Disease and Treatment, vol.12, pp.817-822, 2016.
DOI : 10.2147/NDT.S101925

G. E. Hodes, D. M. Walker, B. Labonté, E. J. Nestler, and S. J. Russo, Understanding the epigenetic basis of sex differences in depression, Journal of Neuroscience Research, vol.465, issue.255, pp.692-702, 2017.
DOI : 10.1038/465690a

H. Da, W. Sherman, B. T. Lempicki, and R. A. , Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nat. Protoc, vol.4, pp.44-57211, 2008.

A. Ioannou, N. Santama, and P. A. Skourides, Xenopus laevis nucleotide binding protein 1 (xNubp1) is important for convergent extension movements and controls ciliogenesis via regulation of the actin cytoskeleton, Developmental Biology, vol.380, issue.2, pp.243-258, 2013.
DOI : 10.1016/j.ydbio.2013.05.004

O. Issler, C. , and A. , Determining the role of microRNAs in psychiatric disorders, Nature Reviews Neuroscience, vol.516, issue.4, pp.201-212, 2015.
DOI : 10.1038/npp.2010.250

O. Issler, S. Haramati, E. D. Paul, H. Maeno, I. Navon et al., MicroRNA 135 Is Essential for Chronic Stress Resiliency, Antidepressant Efficacy, and Intact Serotonergic Activity, Neuron, vol.83, issue.2, pp.344-360, 2014.
DOI : 10.1016/j.neuron.2014.05.042

URL : http://doi.org/10.1016/j.neuron.2014.05.042

N. Jaworska, X. R. Yang, V. Knott, and G. Macqueen, A review of fMRI studies during visual emotive processing in major depressive disorder, The World Journal of Biological Psychiatry, vol.49, issue.7, pp.448-471, 2015.
DOI : 10.1016/S0165-0173(02)00248-5

M. C. Jentsch, E. M. Van-buel, F. J. Bosker, A. V. Gladkevich, H. C. Klein et al., Biomarker approaches in major depressive disorder evaluated in the context of current hypotheses, Biomarkers in Medicine, vol.9, issue.3, pp.277-297, 2015.
DOI : 10.2217/bmm.14.114

J. Joeyen-waldorf, Y. S. Nikolova, N. Edgar, C. Walsh, R. Kota et al., Adenylate Cyclase 7 Is Implicated in the Biology of Depression and Modulation of Affective Neural Circuitry, Biological Psychiatry, vol.71, issue.7, pp.627-632, 2012.
DOI : 10.1016/j.biopsych.2011.11.029

R. C. Kessler, Epidemiology of women and depression, Journal of Affective Disorders, vol.74, issue.1, pp.5-13, 2003.
DOI : 10.1016/S0165-0327(02)00426-3

T. A. Klempan, A. Sequeira, L. Canetti, A. Lalovic, C. Ernst et al., Altered expression of genes involved in ATP biosynthesis and GABAergic neurotransmission in the ventral prefrontal cortex of suicides with and without major depression, Molecular Psychiatry, vol.23, issue.2, pp.175-189, 2009.
DOI : 10.1016/j.biopsych.2004.10.034

R. Kohen, A. Dobra, J. H. Tracy, and E. Haugen, Transcriptome profiling of human hippocampus dentate gyrus granule cells in mental illness, Translational Psychiatry, vol.158, issue.3, 2014.
DOI : 10.1016/j.neuropharm.2011.08.020

H. Aberrant, 3 dynamics in NAc promote vulnerability to depressive-like behavior, Proc. Natl. Acad. Sci. U S A, vol.113, pp.12562-12567

A. F. Leuchter, I. A. Cook, S. P. Hamilton, K. L. Narr, A. Toga et al., Biomarkers to Predict Antidepressant Response, Current Psychiatry Reports, vol.43, issue.Suppl 10, pp.553-562, 2010.
DOI : 10.1080/07853890802082088

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965366

K. J. Livak and T. D. Schmittgen, Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2???????CT Method, Methods, vol.25, issue.4, pp.402-408, 2001.
DOI : 10.1006/meth.2001.1262

K. Malki, O. Pain, M. G. Tosto, E. Du-rietz, L. Carboni et al., Identification of genes and gene pathways associated with major depressive disorder by integrative brain analysis of rat and human prefrontal cortex transcriptomes, Translational Psychiatry, vol.110, issue.3, 2015.
DOI : 10.1073/pnas.1318345110

F. J. Mcmahon, Prediction of treatment outcomes in psychiatry?where do we stand?, Dialogues Clin. Neurosci, vol.16, pp.455-464, 2014.

K. C. Mcneely, T. D. Cupp, J. N. Little, K. M. Janisch, A. Shrestha et al., Mutation of Kinesin-6 Kif20b causes defects in cortical neuron polarization and morphogenesis, Neural Development, vol.74, issue.22, pp.5-10, 2017.
DOI : 10.1158/0008-5472.CAN-14-1279

N. S. Mehta-raghavan, S. L. Wert, C. Morley, E. N. Graf, R. et al., Nature and nurture: environmental influences on a genetic rat model of depression, Translational Psychiatry, vol.12, issue.3, 2016.
DOI : 10.1016/j.brainresbull.2004.11.011

S. Miyata, M. Kurachi, Y. Okano, N. Sakurai, A. Kobayashi et al., Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder, PLOS ONE, vol.58, issue.4, 2016.
DOI : 10.1371/journal.pone.0150262.s005

URL : http://doi.org/10.1371/journal.pone.0150262

S. Miyata, M. Kurachi, N. Sakurai, Y. Yanagawa, Y. Ishizaki et al., Gene expression alterations in the medial prefrontal cortex and blood cells in a mouse model of depression during menopause, Heliyon, vol.2, issue.12, 2016.
DOI : 10.1016/j.heliyon.2016.e00222

H. J. Möller, Outcomes in major depressive disorder: The evolving concept of remission and its implications for treatment, The World Journal of Biological Psychiatry, vol.37, issue.11, pp.102-114, 2008.
DOI : 10.1016/S0022-3956(03)00018-9

S. Moylan, M. Maes, N. R. Wray, and M. Berk, The neuroprogressive nature of major depressive disorder: pathways to disease evolution and resistance, and therapeutic implications, Molecular Psychiatry, vol.70, issue.5, pp.595-606, 2013.
DOI : 10.1016/j.neulet.2005.08.065

C. Nagy and G. Turecki, Sensitive periods in epigenetics: bringing us closer to complex behavioral phenotypes, Epigenomics, vol.4, issue.4, pp.445-457, 2012.
DOI : 10.2217/epi.12.37

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293543

M. Nollet, L. Guisquet, A. M. Belzung, C. K. Andrus, B. M. Gardner et al., Unit 5.65 Models of depression: unpredictable chronic mild stress in mice Discovery of blood transcriptomics markers for depression in animal models and pilot validation in subjects with early-onset major depression, Curr. Protoc. Pharmacol, vol.61, 2012.

G. I. Papakostas and M. Fava, Predictors, moderators, and mediators (correlates) of treatment outcome in major depressive disorder, Dialogues Clin. Neurosci, vol.10, pp.439-451, 2008.

D. I. Park, C. Dournes, I. Sillaber, M. Ising, J. M. Asara et al., Delineation of molecular pathway activities of the chronic antidepressant treatment response suggests important roles for glutamatergic and ubiquitin???proteasome systems, Translational Psychiatry, vol.54, issue.4, 2017.
DOI : 10.1016/0091-3057(89)90516-9

P. Patricio, A. Mateus-pinheiro, N. Sousa, L. M. Pinto, H. W. Chase et al., Re-cycling Paradigms: Cell Cycle Regulation in Adult Hippocampal Neurogenesis and Implications for Depression, Molecular Neurobiology, vol.4, issue.11, pp.84-96, 2013.
DOI : 10.1371/journal.pone.0007901

G. Gkq636-qesseveur, A. C. Petit, H. T. Nguyen, L. Dahan, R. Colle et al., Rank-rank hypergeometric overlap: identification of statistically significant overlap between gene-expression signatures Genetic dysfunction of serotonin 2A receptor hampers response to antidepressant drugs: a translational approach, Nucleic. Acids Res. Neuropharmacology, vol.105, pp.142-153, 2016.

E. E. Redei, B. M. Andrus, M. J. Kwasny, J. Seok, X. Cai et al., Blood transcriptomic biomarkers in adult primary care patients with major depressive disorder undergoing cognitive behavioral therapy, Translational Psychiatry, vol.13, issue.9, 2014.
DOI : 10.1016/j.molmed.2007.08.003

URL : http://doi.org/10.1038/tp.2014.66

E. E. Redei and N. S. Mehta, Blood transcriptomic markers for major depression: from animal models to clinical settings, Annals of the New York Academy of Sciences, vol.3, issue.1, pp.37-49, 2015.
DOI : 10.4088/PCC.v03n0611

W. T. Regenold, M. Pratt, S. Nekkalapu, P. S. Shapiro, T. Kristian et al., Mitochondrial detachment of hexokinase 1 in mood and psychotic disorders: Implications for brain energy metabolism and neurotrophic signaling, Journal of Psychiatric Research, vol.46, issue.1, pp.95-104, 2012.
DOI : 10.1016/j.jpsychires.2011.09.018

M. M. Rive, G. Van-rooijen, D. J. Veltman, M. L. Phillips, A. H. Schene et al., Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies, Neuroscience & Biobehavioral Reviews, vol.37, issue.10, pp.2529-2553, 2013.
DOI : 10.1016/j.neubiorev.2013.07.018

C. Schnatwinkel and L. Niswander, Nubp1 Is Required for Lung Branching Morphogenesis and Distal Progenitor Cell Survival in Mice, PLoS ONE, vol.7, issue.9, 2012.
DOI : 10.1371/journal.pone.0044871.s003

URL : http://doi.org/10.1371/journal.pone.0044871

M. Seimandi, P. Seyer, C. S. Park, F. Vandermoere, B. Chanrion et al., Calcineurin Interacts with the Serotonin Transporter C-Terminus to Modulate Its Plasma Membrane Expression and Serotonin Uptake, Journal of Neuroscience, vol.33, issue.41, pp.16189-16199, 2013.
DOI : 10.1523/JNEUROSCI.0076-13.2013

URL : http://www.zora.uzh.ch/85638/1/16189_002.pdf

E. Sibille, V. Arango, H. C. Galfalvy, P. Pavlidis, L. Erraji-benchekroun et al., Gene Expression Profiling of Depression and Suicide in Human Prefrontal Cortex, Neuropsychopharmacology, vol.29, issue.2, pp.351-361, 2004.
DOI : 10.1038/sj.npp.1300335

H. Sun, D. M. Damez-werno, K. N. Scobie, N. Y. Shao, C. Dias et al., ACF chromatin-remodeling complex mediates stress-induced depressive-like behavior, Nature Medicine, vol.21, issue.10, pp.1146-1153, 2015.
DOI : 10.1101/gr.142067.112

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598281

H. Sun, P. J. Kennedy, and E. J. Nestler, Epigenetics of the Depressed Brain: Role of Histone Acetylation and Methylation, Neuropsychopharmacology, vol.250, issue.1, pp.124-137, 2013.
DOI : 10.1016/j.bbr.2008.08.039

A. Surget, M. Saxe, S. Leman, Y. Ibarguen-vargas, S. Chalon et al., Drug-Dependent Requirement of Hippocampal Neurogenesis in a Model of Depression and of Antidepressant Reversal, Biological Psychiatry, vol.64, issue.4, pp.293-301, 2008.
DOI : 10.1016/j.biopsych.2008.02.022

E. H. Tobe, M. L. Yang, J. Yu, E. Knowles, G. Davies et al., Mitochondrial dysfunction, oxidative stress, and major depressive disorder doi: 10.2147/NDT. s44282 Trampush, GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium, Neuropsychiatr. Dis. Treat. Mol. Psychiatry, vol.9, issue.22, pp.567-573, 2013.
DOI : 10.2147/ndt.s44282

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640606

C. Volland, S. Bremer, K. Hellenkamp, N. Hartmann, N. Dybkova et al., Enhanced cardiac TBC1D10C expression lowers heart rate and enhances exercise capacity and survival, Scientific Reports, vol.90, issue.1, 2016.
DOI : 10.1093/cvr/cvr023

URL : http://doi.org/10.1038/srep33853

Y. Wan, Y. Liu, X. Wang, J. Wu, K. Liu et al., Identification of Differential MicroRNAs in Cerebrospinal Fluid and Serum of Patients with Major Depressive Disorder, PLOS ONE, vol.34, issue.3, 2015.
DOI : 10.1371/journal.pone.0121975.t003

T. Wise, J. Radua, E. Via, N. Cardoner, O. Abe et al., Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis, Molecular Psychiatry, vol.33, 2016.
DOI : 10.1001/jamapsychiatry.2014.2206

G. T. Wong, R. C. Chang, and A. C. Law, A breach in the scaffold: The possible role of cytoskeleton dysfunction in the pathogenesis of major depression, Ageing Research Reviews, vol.12, issue.1, pp.67-75, 2013.
DOI : 10.1016/j.arr.2012.08.004

S. W. Yoo, M. G. Motari, K. Susuki, J. Prendergast, A. Mountney et al., Sialylation regulates brain structure and function, The FASEB Journal, vol.29, issue.7, pp.3040-3053, 2015.
DOI : 10.1096/fj.15-270983

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478807

J. J. Young, T. Silber, D. Bruno, I. R. Galatzer-levy, N. Pomara et al., Is there progress? An overview of selecting biomarker candidates for major depressive disorder. Front, Psychiatry, vol.7, p.72, 2016.