Ontology highlight
ABSTRACT:
SUBMITTER: Lee AH
PROVIDER: S-EPMC6414553 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Lee Amy H AH Shannon Casey P CP Amenyogbe Nelly N Bennike Tue B TB Diray-Arce Joann J Idoko Olubukola T OT Gill Erin E EE Ben-Othman Rym R Pomat William S WS van Haren Simon D SD Cao Kim-Anh Lê KL Cox Momoudou M Darboe Alansana A Falsafi Reza R Ferrari Davide D Harbeson Daniel J DJ He Daniel D Bing Cai C Hinshaw Samuel J SJ Ndure Jorjoh J Njie-Jobe Jainaba J Pettengill Matthew A MA Richmond Peter C PC Ford Rebecca R Saleu Gerard G Masiria Geraldine G Matlam John Paul JP Kirarock Wendy W Roberts Elishia E Malek Mehrnoush M Sanchez-Schmitz Guzmán G Singh Amrit A Angelidou Asimenia A Smolen Kinga K KK Brinkman Ryan R RR Ozonoff Al A Hancock Robert E W REW van den Biggelaar Anita H J AHJ Steen Hanno H Tebbutt Scott J SJ Kampmann Beate B Levy Ofer O Kollmann Tobias R TR
Nature communications 20190312 1
Systems biology can unravel complex biology but has not been extensively applied to human newborns, a group highly vulnerable to a wide range of diseases. We optimized methods to extract transcriptomic, proteomic, metabolomic, cytokine/chemokine, and single cell immune phenotyping data from <1 ml of blood, a volume readily obtained from newborns. Indexing to baseline and applying innovative integrative computational methods reveals dramatic changes along a remarkably stable developmental traject ...[more]