LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders.

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LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders.

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http://www.wikidata.org/entity/Q38869527

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2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

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name

LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders.

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type

Item

label

LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders.

@en

prefLabel

LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders.

@en

P1476

LC-MSE for Qualitative and Quantitative Proteomic Studies of Psychiatric Disorders

@en

P2093

Paul C Guest

http://www.w3.org/2001/XMLSchema#string

P2860

An integrative theory of prefrontal cortex function

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics

The leukocytes expressing DARPP-32 are reduced in patients with schizophrenia and bipolar disorder

Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents

Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients.

Multiplexed and data-independent tandem mass spectrometry for global proteome profiling.

Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.

Anti-depressant and anxiolytic like behaviors in PKCI/HINT1 knockout mice associated with elevated plasma corticosterone level

The detection, correlation, and comparison of peptide precursor and product ions from data independent LC-MS with data dependant LC-MS/MS.

Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures.

P304

115-129

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P31

scholarly article

P356

10.1007/978-3-319-52479-5_7

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P407

English

P478

974

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P50

Daniel Martins-de-Souza

Mariana Fioramonte

P577

2017-01-01T00:00:00Z

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P698

28353228

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