Cis-regulatory architecture of human ESC-derived hypothalamic neuron differentiation aids in variant-to-gene mapping of relevant complex traits.
Matthew C PahlClaudia A DoegeKenyaita M HodgeSheridan H LittletonMichelle E LeonardSumei LuRick RauschJames A PippinMaria Caterina De RosaAlisha BasakJonathan P BradfieldReza K HammondKeith BoehmRobert I BerkowitzChiara LasconiChun SuAlessandra ChesiMatthew E JohnsonAndrew D WellsBenjamin F VoightRudolph L LeibelDiana L CousminerStruan F A GrantPublished in: Nature communications (2021)
The hypothalamus regulates metabolic homeostasis by influencing behavior and endocrine systems. Given its role governing key traits, such as body weight and reproductive timing, understanding the genetic regulation of hypothalamic development and function could yield insights into disease pathogenesis. However, given its inaccessibility, studying human hypothalamic gene regulation has proven challenging. To address this gap, we generate a high-resolution chromatin architecture atlas of an established embryonic stem cell derived hypothalamic-like neuron model across three stages of in vitro differentiation. We profile accessible chromatin and identify physical contacts between gene promoters and putative cis-regulatory elements to characterize global regulatory landscape changes during hypothalamic differentiation. Next, we integrate these data with GWAS loci for various complex traits, identifying multiple candidate effector genes. Our results reveal common target genes for these traits, potentially affecting core developmental pathways. Our atlas will enable future efforts to determine hypothalamic mechanisms influencing disease susceptibility.
Keyphrases
- genome wide
- dna methylation
- copy number
- high resolution
- body weight
- endothelial cells
- transcription factor
- single cell
- gene expression
- physical activity
- mental health
- oxidative stress
- induced pluripotent stem cells
- pluripotent stem cells
- genome wide identification
- dendritic cells
- electronic health record
- artificial intelligence
- big data
- high speed
- type iii