TEDD: a database of temporal gene expression patterns during multiple developmental periods in human and model organisms.
Ziheng ZhouCong TanMatthew Hoi Kin ChauXiaosen JiangZiyuan KeTin-Chiu LiYe CaoYvonne K KwokMatthew BellgardTak Yeung LeungKwong-Wai ChoyZirui DongPublished in: Nucleic acids research (2022)
Characterization of the specific expression and chromatin profiles of genes enables understanding how they contribute to tissue/organ development and the mechanisms leading to diseases. Whilst the number of single-cell sequencing studies is increasing dramatically; however, data mining and reanalysis remains challenging. Herein, we systematically curated the up-to-date and most comprehensive datasets of sequencing data originating from 2760 bulk samples and over 5.1 million single-cells from multiple developmental periods from humans and multiple model organisms. With unified and systematic analysis, we profiled the gene expression and chromatin accessibility among 481 cell-types, 79 tissue-types and 92 timepoints, and pinpointed cells with the co-expression of target genes. We also enabled the detection of gene(s) with a temporal and cell-type specific expression profile that is similar to or distinct from that of a target gene. Additionally, we illustrated the potential upstream and downstream gene-gene regulation interactions, particularly under the same biological process(es) or KEGG pathway(s). Thus, TEDD (Temporal Expression during Development Database), a value-added database with a user-friendly interface, not only enables researchers to identify cell-type/tissue-type specific and temporal gene expression and chromatin profiles but also facilitates the association of genes with undefined biological functions in development and diseases. The database URL is https://TEDD.obg.cuhk.edu.hk/.
Keyphrases
- gene expression
- genome wide
- dna methylation
- single cell
- genome wide identification
- poor prognosis
- rna seq
- transcription factor
- copy number
- adverse drug
- high throughput
- dna damage
- induced apoptosis
- binding protein
- big data
- bioinformatics analysis
- electronic health record
- machine learning
- emergency department
- oxidative stress
- stem cells
- cell therapy
- endoplasmic reticulum stress
- bone marrow
- cell cycle arrest
- data analysis
- artificial intelligence
- human health
- loop mediated isothermal amplification
- risk assessment
- cell proliferation
- pi k akt