Plasma proteomic data in bipolar II disorders and major depressive disorders
The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromato...
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2021
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oai:doaj.org-article:23252e68879e4520acf74fc2276448a92021-11-18T04:49:17ZPlasma proteomic data in bipolar II disorders and major depressive disorders2352-340910.1016/j.dib.2021.107495https://doaj.org/article/23252e68879e4520acf74fc2276448a92021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921007769https://doaj.org/toc/2352-3409The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders.Hyunju LeeSang Jin RheeJayoun KimYunna LeeHyeyoung KimJunhee LeeKangeun LeeHyunsuk ShinHyeyoon KimTae Young LeeMinah KimEun Young KimSe Hyun KimYong Min AhnJun Soo KwonDohyun HanKyooseob HaElsevierarticleBipolar II disorderMajor depressive disorderLiquid chromatography-tandem mass spectrometry (LC-MS)Symptom severityProteomicsComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107495- (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Bipolar II disorder Major depressive disorder Liquid chromatography-tandem mass spectrometry (LC-MS) Symptom severity Proteomics Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
| spellingShingle |
Bipolar II disorder Major depressive disorder Liquid chromatography-tandem mass spectrometry (LC-MS) Symptom severity Proteomics Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Hyunju Lee Sang Jin Rhee Jayoun Kim Yunna Lee Hyeyoung Kim Junhee Lee Kangeun Lee Hyunsuk Shin Hyeyoon Kim Tae Young Lee Minah Kim Eun Young Kim Se Hyun Kim Yong Min Ahn Jun Soo Kwon Dohyun Han Kyooseob Ha Plasma proteomic data in bipolar II disorders and major depressive disorders |
| description |
The proteomics data included in this article supplement the research article titled “Predictive protein markers for the severity of depression in mood disorders: A preliminary trans-diagnostic approach study (manuscript ID: JPSYCHIATRES-D-20-00437).” Plasma protein was analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This data article included 370 plasma protein profiles expressed in patients with bipolar II disorder (BD-II) and major depressive disorder (MDD). The tables present the comparison of protein expressions between BD-II and MDD, and the relationship between the severity of the depressive symptoms and protein expression. In addition, details of results adjusting the use of each psychotropic medication (antipsychotics, mood stabilizers, and antidepressants) for 20 proteins that showed a significant relationship with the severity of the depressive symptom were presented in the table. Results of the bioinformatics analysis of proteins, which were significantly related to the severity of depressive symptom, are presented. The blood protein profiles and the results of the analyses presented in this data article provide detailed information on the proteins associated with mood disorders, and could be used as the basis for further mass spectrometry studies in psychiatric disorders. |
| format |
article |
| author |
Hyunju Lee Sang Jin Rhee Jayoun Kim Yunna Lee Hyeyoung Kim Junhee Lee Kangeun Lee Hyunsuk Shin Hyeyoon Kim Tae Young Lee Minah Kim Eun Young Kim Se Hyun Kim Yong Min Ahn Jun Soo Kwon Dohyun Han Kyooseob Ha |
| author_facet |
Hyunju Lee Sang Jin Rhee Jayoun Kim Yunna Lee Hyeyoung Kim Junhee Lee Kangeun Lee Hyunsuk Shin Hyeyoon Kim Tae Young Lee Minah Kim Eun Young Kim Se Hyun Kim Yong Min Ahn Jun Soo Kwon Dohyun Han Kyooseob Ha |
| author_sort |
Hyunju Lee |
| title |
Plasma proteomic data in bipolar II disorders and major depressive disorders |
| title_short |
Plasma proteomic data in bipolar II disorders and major depressive disorders |
| title_full |
Plasma proteomic data in bipolar II disorders and major depressive disorders |
| title_fullStr |
Plasma proteomic data in bipolar II disorders and major depressive disorders |
| title_full_unstemmed |
Plasma proteomic data in bipolar II disorders and major depressive disorders |
| title_sort |
plasma proteomic data in bipolar ii disorders and major depressive disorders |
| publisher |
Elsevier |
| publishDate |
2021 |
| url |
https://doaj.org/article/23252e68879e4520acf74fc2276448a9 |
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