This website presents a comprehensive compilation of published gene expression profiles in exercise responses in multiple species and organs with reliable annotations and user-friendly browsing, searching and visualization interfaces. Six groups were identified as acute aerobic exercise, acute resistance exercise, long-term aerobic training, long-term resistance training, other exercise forms and inactivity.
This section summarizes and explains how to use GEPREP and the problems you may have.
GEPREP uses official genetic symbols. To better understand the website, we suggest you to read our published paper first. Then, the “Application” sections there may be useful.
Category | Attributes | Content |
---|---|---|
basic information | organism | The species information, recorded as “Homo sapiens” and “Mus musculus” |
datasets, GSM, SRR, SRX | The “datasets” were accession numbers in GEO, and the remain were recording numbers of samples started with the corresponding letters. | |
library preparation and sequencing | extracted molecule | It represents RNA enrichment strategy used in library construction, including mRNA enrichment with polyA tail (polyA RNA) and rRNA depletion (ribo-zero RNA). |
layout |
PAIED: pair-end sequencing SINGLE: single-end sequencing |
|
library prepared method |
NONE: non-strand-specific sequencing F/R, FR/RF: strand-specific sequencing For single-end sequencing, “F” confirms a library as “fr-secondstrand”, while “R” as “fr-firststrand”. For pair-end sequencing, “FR” confirms a library as “fr-secondstrand”, while “RF” as “fr-firststrand”. |
|
subject information | platform ID, instrument model | Samples with these types of information were filled in the attributes. |
health status, fitness |
The health status and physical activity level of the subjects before the experimental intervention. The health status of the subject if clearly stated in the publication. For human, samples with “ME/CFS”, “morbid obesity” and “Parkinson's Disease” were obtained, Healthy samples accounted for 89.1%. The corresponding “health status” of mice is reflected by the mouse background and genotype. Fitness was classified as sedentary, active, trained, untrained according to the annotation of subjects in the publication. |
|
age |
For human, <35 years old defined as “young”, 35-60 years as “adult”, and >60 years as “aged”; For mouse, before birth defined as “embryonic", 0-3 weeks defined as “neonatal”, 3-7 weeks as “young”, 2-12 months (8-48 weeks) as “adult”, and 13-24 months or longer lifecycle as “aged”. |
|
gender, mus background, mus genotype | The background of mouse roughly was C57BL/6, BALB/c, ICR and CD1. The genotype was varying. | |
treatment | The all procedures towards each sample were shown in this part, such as diet. | |
exercise interventions | classification |
Categorizes according to time. Acute exercise: single non-repetitive movement (<3 times) Long-term training: periodic exercise (≥3 times) Inactivity: sedentary controls, as well as “bed rest” studies in human |
exercise type | Resistance exercise, aerobic exercise, combined exercise, high-intensity interval training | |
frequency, intensity, duration | For long-term training, “duration” just storages the total period of motion, and the time information of single session incorporated into “frequency”. | |
protocol | The detailed exercise method used in exacted sample, such as treadmill or voluntary wheel running, cycling or knee extensions. In samples with the protocol of unilateral knee extensions, we indicate whether the exercised leg or non-exercised leg the sample belongs to. | |
sampling information | tissue and sampling site | For human, tissues contain skeletal muscle and blood. For mouse, tissues include skeletal muscle, brain, heart, liver, fat, spinal cord, tumor, placenta, and bone marrow. The detailed sampling sites such as vastus lateralis or gastrocnemius were also annotated. |
biopsy timepoint | Its cleared time pre or post the intervention. For example, 1h after the exercise would be presented as “post(1h)". | |
other information | group |
The group information in the exacted dataset for more user kindly foundation of relevant samples. Two conditions occurred. 1) cross-sectional (exercise vs. sedentary); 2) within subjects (pre- vs. post-exercise) It should be noted that the biopsies before and after the exercise almost derived from the same subjects in human studies, and collected from subjects randomly assigned to different processing groups in mouse datasets. So, there were subtle differences in the grouping strategy. For example, the groups of the human dataset GSE108643 were “lean exercise” and “Ov/Ob exercise”, characterized by containing both the pre and post biopsies in one single group. Nevertheless, these of mouse dataset GSE101239 were “Control 12w”, “VPA 12w”, and “VPA+Run 12w”. |
Notes: We had annotated the samples as clearly as possible in the sample browsing page. However, if you still confused about any attribute, please check the information of each sample and study in GEO database through the external links.
The nonparametric ANOVA table shows mean ± SD of log2 (FPKM+1) on 100 genes with the highest average expression in all groups. The purpose of ANOVA, in which the dependent variable is log2 (FKPM+1) and the independent variable is the six groups, is to test whether the expression of this gene is significantly different between the groups (used the KW test). Only groups with data were analyzed. The download option can reserve the whole genes you had searched as a text file.
On the basis of the ANOVA table shown in the website, 10 genes with the lowest p-value were shaped into boxplots. The abscissa of the boxplot is for the six groups, and the ordinate is log2(FKPM+1). The boxplots hadn’t considered the elimination of outliers, and only provide preliminary visual analysis. The boxplot is mainly composed of 5 numeric points: minimum, lower quartile, median, upper quartile, and maximum.
Moreover, the data form TPM can also be used as input.
The version number is divided into three parts. The first part represents the update of the interface, which is upgraded when there is a major change. The second part represents the time range of included data, for example, "2212" in “V1.2212.A” represents that the deadline of data inclusion is December 2022. The third part represents an update of the existing version of data, such as adding a new metadata attribute.
GEPREP V1.2212.A - Initial release on January 1, 2024.
GEPREP V1.2212.B - Release on June 5, 2024.
Due to limited bandwidth, large intermediate data, such as the raw sequences, the aligned BAM files, the signal tracks and transcript level expression quantification results were not directly downloadable from the web site, but available on request. The contact authors were listed below:
Bingxiang Xu, bingxiang.xu@hotmail.com
Longhua Liu, liulonghua@sus.edu.cn