A novel human cellular model of CDA IV enables comprehensive analysis revealing the molecular basis of the disease phenotype

Blood. 2023 Jun 22;141(25):3039-3054. doi: 10.1182/blood.2022018735.

Abstract

Red blood cell disorders can result in severe anemia. One such disease congenital dyserythropoietic anemia IV (CDA IV) is caused by the heterozygous mutation E325K in the transcription factor KLF1. However, studying the molecular basis of CDA IV is severely impeded by the paucity of suitable and adequate quantities of material from patients with anemia and the rarity of the disease. We, therefore, took a novel approach, creating a human cellular disease model system for CDA IV that accurately recapitulates the disease phenotype. Next, using comparative proteomics, we reveal extensive distortion of the proteome and a wide range of disordered biological processes in CDA IV erythroid cells. These include downregulated pathways the governing cell cycle, chromatin separation, DNA repair, cytokinesis, membrane trafficking, and global transcription, and upregulated networks governing mitochondrial biogenesis. The diversity of such pathways elucidates the spectrum of phenotypic abnormalities that occur with CDA IV and impairment to erythroid cell development and survival, collectively explaining the CDA IV disease phenotype. The data also reveal far more extensive involvement of KLF1 in previously assigned biological processes, along with novel roles in the regulation of intracellular processes not previously attributed to this transcription factor. Overall, the data demonstrate the power of such a model cellular system to unravel the molecular basis of disease and how studying the effects of a rare mutation can reveal fundamental biology.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Anemia, Dyserythropoietic, Congenital* / genetics
  • Gene Expression Regulation
  • Humans
  • Mutation
  • Phenotype
  • Transcription Factors / genetics

Substances

  • Transcription Factors