Literature DB >> 22717368

Comprehending depression through proteomics.

Daniel Martins-de-Souza1.   

Abstract

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Year:  2012        PMID： 22717368     DOI： 10.1017/S146114571200034X

Source DB:  PubMed          Journal:  Int J Neuropsychopharmacol        ISSN： 1461-1457            Impact factor:   5.176


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  4 in total

1.  Proteomic serum profile of fatigued men receiving localized external beam radiation therapy for non-metastatic prostate cancer.

Authors:  Nada Lukkahatai; Sajni Patel; Marjan Gucek; Chao-Pin Hsiao; Leorey N Saligan
Journal:  J Pain Symptom Manage       Date:  2013-07-31       Impact factor: 3.612

2.  Proteomic analysis of serum from patients with major depressive disorder to compare their depressive and remission statuses.

Authors:  Jiyeong Lee; Eun-Jeong Joo; Hee-Joung Lim; Jong-Moon Park; Kyu Young Lee; Arum Park; AeEun Seok; HooKeun Lee; Hee-Gyoo Kang
Journal:  Psychiatry Investig       Date:  2015-03-18       Impact factor: 2.505

Review 3.  Biomarkers predicting antidepressant treatment response: how can we advance the field?

Authors:  Christiana Labermaier; Mercè Masana; Marianne B Müller
Journal:  Dis Markers       Date:  2013-07-21       Impact factor: 3.434

Review 4.  Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder.

Authors:  Daniel Martins-de-Souza
Journal:  Dialogues Clin Neurosci       Date:  2014-03       Impact factor: 5.986
  4 in total

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