Blood transcriptome analysis revealed the immune changes and immunological adaptation of wildness training giant pandas

2022 ◽  
Author(s):  
Miao Yang ◽  
Yan Huang ◽  
Honglin Wu ◽  
Caiwu Li ◽  
Shanshan Ling ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Giant Pandas ◽  
Immune Changes ◽  
Blood Transcriptome

scholarly journals Whole Blood Transcriptome Analysis of Mycoplasma mycoides Subsp. mycoides-Infected Cattle Confirms Immunosuppression but Does Not Reflect Local Inflammation

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0139678 ◽  
Author(s):  
Valérie Rodrigues ◽  
Philippe Holzmuller ◽  
Carinne Puech ◽  
Hezron Wesonga ◽  
François Thiaucourt ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Whole Blood ◽  
Infected Cattle ◽  
Local Inflammation ◽  
Mycoplasma Mycoides ◽  
Blood Transcriptome

scholarly journals Comparative blood transcriptome analysis in idiopathic and LRRK2 G2019S–associated Parkinson's disease

2016 ◽  
Vol 38 ◽  
pp. 214.e1-214.e5 ◽  
Author(s):  
Jon Infante ◽  
Carlos Prieto ◽  
María Sierra ◽  
Pascual Sánchez-Juan ◽  
Isabel González-Aramburu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Transcriptome Analysis ◽  
Lrrk2 G2019s ◽  
Blood Transcriptome

scholarly journals Whole blood transcriptome analysis reveals footprints of cattle adaptation to sub‐arctic conditions

2019 ◽  
Vol 50 (3) ◽  
pp. 217-227 ◽  
Author(s):  
K. Pokharel ◽  
M. Weldenegodguad ◽  
R. Popov ◽  
M. Honkatukia ◽  
H. Huuki ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Whole Blood ◽  
Arctic Conditions ◽  
Blood Transcriptome

scholarly journals Whole blood transcriptome analysis in bipolar disorder reveals strong lithium effect

2018 ◽  
Author(s):  
Catharine E. Krebs ◽  
Anil P.S. Ori ◽  
Annabel Vreeker ◽  
Timothy Wu ◽  
Rita M. Cantor ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bipolar Disorder ◽  
Cell Signaling ◽  
Transcriptome Analysis ◽  
Whole Blood ◽  
Medication Use ◽  
Genome Wide Association Studies ◽  
Cell Type ◽  
Blood Draw ◽  
Blood Transcriptome

Bipolar disorder (BD) is a highly heritable mood disorder with complex genetic architecture and poorly understood etiology. We performed a whole blood transcriptome analysis in a BD case-control sample (Nsubjects = 480) by RNA sequencing. While we observed widespread differential gene expression patterns between affected and unaffected individuals, these effects were largely linked to lithium treatment at the time of blood draw (FDR < 0.05, Ngenes = 976) rather than BD diagnosis itself (FDR < 0.05, Ngenes = 6). These lithium-associated genes were enriched for cell signaling and immune response functional annotations, among others, and were associated with neutrophil cell-type proportions, which were elevated in lithium users. Neither genes with altered expression in cases nor in lithium users were enriched for BD, schizophrenia, and depression genetic risk based on information from genome-wide association studies, nor was gene expression associated with polygenic risk scores for BD. Our findings suggest that BD is associated with minimal changes in whole blood gene expression independent of medication use but underline the importance of accounting for medication use and cell type heterogeneity in psychiatric transcriptomic studies. The results of our study add to mounting evidence of lithium's cell signaling and immune-related mechanisms.

scholarly journals HMTI-0197. Whole blood transcriptome analysis in migraine with aura patients: a case control study

2014 ◽  
Vol 15 (S1) ◽  
Author(s):  
A Oterino ◽  
M Toriello ◽  
A Esteve-Codina ◽  
S Heath ◽  
J Castillo ◽  
...  
Keyword(s):  
Migraine With Aura ◽  
Transcriptome Analysis ◽  
Whole Blood ◽  
Case Control Study ◽  
Case Control ◽  
Control Study ◽  
Blood Transcriptome

scholarly journals Whole blood transcriptome analysis in amyotrophic lateral sclerosis: A biomarker study

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0198874 ◽  
Author(s):  
Wouter van Rheenen ◽  
Frank P. Diekstra ◽  
Oliver Harschnitz ◽  
Henk-Jan Westeneng ◽  
Kristel R. van Eijk ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Transcriptome Analysis ◽  
Whole Blood ◽  
Lateral Sclerosis ◽  
Blood Transcriptome

Whole Blood Transcriptome Analysis Discriminates Sarcoidosis From Active And Latent TB

2011 ◽  
Author(s):  
Laura Koth ◽  
Owen D. Solberg ◽  
Christine Nguyen ◽  
Prescott Woodruff
Keyword(s):  
Transcriptome Analysis ◽  
Whole Blood ◽  
Latent Tb ◽  
Blood Transcriptome

Whole blood transcriptome analysis in feedlot cattle after 35 days of supplementation with a β1-adrenergic agonist

2019 ◽  
Vol 61 (1) ◽  
pp. 117-121
Author(s):  
Rachel M. Burrack ◽  
Erin M. Duffy ◽  
Dustin T. Yates ◽  
Ty B. Schmidt ◽  
Jessica L. Petersen
Keyword(s):  
Transcriptome Analysis ◽  
Whole Blood ◽  
Feedlot Cattle ◽  
Adrenergic Agonist ◽  
Blood Transcriptome

scholarly journals Interpreting the dynamic pathogenesis of Parkinson’s disease by longitudinal blood transcriptome analysis

2020 ◽  
Author(s):  
Gang Xue ◽  
Gang Wang ◽  
Qianqian Shi ◽  
Hui Wang ◽  
Bo-Min Lv ◽  
...  
Keyword(s):  
Gene Expression ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Stem Cell ◽  
Transcriptome Analysis ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Prodromal Phase ◽  
Stem Cell Pluripotency ◽  
Blood Transcriptome

AbstractAchieving an improved understanding of the temporal sequence of factors involved in Parkinson’s disease (PD) pathogenesis may accelerate drug discovery. In this study, we performed a longitudinal transcriptome analysis to identify associated genes underlying the pathogenesis of PD at three temporal phases. We firstly found that multiple initiator genes, which are related to processes of olfactory transduction and stem cell pluripotency, indicate PD risk to those subjects at the prodromal phase. And many facilitator genes involved in calcium signaling and stem cell pluripotency contribute to PD onset. We next identified 325 aggravator genes whose expression could lead to disease progression through damage to dopaminergic synapses and ferroptosis via an integrative analysis with DNA methylation. Last, we made a systematic comparison of gene expression patterns across PD development and accordingly provided candidate drugs at different phases in an attempt to prevent the neurodegeneration process.

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