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| Status |
Public on Mar 03, 2022 |
| Title |
The effect of high altitudes and time-of-day on human whole-blood transcriptome |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
High altitude exposes humans to hypobaric and hypoxic conditions, which induce various physiological and molecular changes. Recent evidence, mostly from animal models, points towards interaction between circadian rhythms and the hypoxic response, however their human relevance is largely unknown. To examine the interaction between elevated altitude-low oxygen and daily rhythms, we analyzed the effect of different high altitudes in conjunction with day-time on human whole blood transcriptome. We found that high altitude vastly affects the blood transcriptome and unexpectedly, does not necessarily follow a monotonic response to altitude elevation. We observed daily variance in gene expression, which was largely dependent on altitude. Moreover, using digital cytometry approach we estimated the relative changes in abundance of different cell types and found the several immune cell types were responding in a time- and altitude-dependent manner. Taken together, our data shed new light on the transcriptional response to high altitude and its interaction with daily rhythms.
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| Overall design |
RNA sequencing of human whole blood samples collected in 4h intervals, throughout 24h at 3 different altitudes: Sea level (SL, Granoble, France), Puno (PU, Peru 3,800m), La Rinconada (RI, Peru 5,100m).
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| Contributor(s) |
Manella G, Ezagouri S, Champigneulle B, Gaucher J, Mendelson M, Lemarie E, Stauffer E, Pichon A, A Howe C, Doutreleau S, Golik M, Vergès S, Asher G |
| Citation(s) |
35977481 |
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| Submission date |
Feb 14, 2022 |
| Last update date |
Aug 31, 2022 |
| Contact name |
Saar Ezagouri |
| E-mail(s) |
saare@weizmann.ac.il, sezagouri@gmail.com
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| Organization name |
Weizmann Institute of Science
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| Street address |
Rehovot
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| City |
Rehovot |
| ZIP/Postal code |
7610001 |
| Country |
Israel |
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| Platforms (1) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (144)
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| Relations |
| BioProject |
PRJNA806975 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE196728_Peru_raw.xlsx |
8.1 Mb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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