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Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012 for this...

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Single-cell MultiOmics and spatial transcriptomics demonstrate neuroblastoma developmental plasticity.

Yunyun Xu1, Daohua Lou2, Ping Chen3

  • 1Pediatric Clinical Research Institute, Children's Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215000, China.

Developmental Cell
|May 10, 2025
PubMed
Summary
This summary is machine-generated.

Neuroblastoma, a common pediatric cancer, shows developmental plasticity. This study reveals intermediate states and epigenetic priming driving high-risk tumor transitions, offering new therapeutic targets.

Keywords:
developmentdevelopmental plasticityepigenetic priminggene regulatory networkintermediate stateintratumoral heterogeneitymicroenvironmentneuroblastomasingle-cell MultiOmicsspatial transcriptomics

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Area of Science:

  • Pediatric Oncology
  • Cancer Biology
  • Developmental Biology

Background:

  • Neuroblastoma is the most common extracranial pediatric solid tumor, originating from neural crest cells.
  • High-risk neuroblastoma has poor survival rates (<50%) due to its developmental plasticity and heterogeneity.
  • The regulatory mechanisms behind neuroblastoma's plasticity are not well understood.

Purpose of the Study:

  • To dissect the transcriptional and epigenetic landscapes governing developmental states in neuroblastoma.
  • To identify key regulatory mechanisms driving malignant transitions in high-risk neuroblastoma.
  • To explore potential therapeutic strategies targeting transcription factors.

Main Methods:

  • Utilized single-cell MultiOmics from a mouse spontaneous tumor model.
  • Employed spatial transcriptomics on human patient samples.
  • Mapped enhancer gene regulatory networks (eGRNs) and tumor microenvironments.

Main Results:

  • Identified critical developmental intermediate states in high-risk neuroblastomas.
  • Uncovered extensive epigenetic priming enabling diverse state transitions.
  • Mapped eGRNs and tumor microenvironments sustaining aggressive neuroblastoma states.

Conclusions:

  • Developmental intermediate states and epigenetic priming are key to high-risk neuroblastoma progression.
  • Targeting transcription factors controlling eGRNs offers a potential therapeutic avenue.
  • Understanding these regulatory mechanisms can improve neuroblastoma treatment outcomes.