Identification of an embryonic differentiation stage marked by Sox1 and FoxA2 co-expression using combined cell tracking and high dimensional protein imaging.
Geethika ArekatlaStavroula SkylakiDavid Corredor SuarezHartland Warren JacksonDenis SchapiroStefanie EnglerMarkus AulerGermán Camargo OrtegaSimon HastreiterAndreas ReimannDirk LoefflerBernd BodenmillerTimm SchroederPublished in: Nature communications (2024)
Pluripotent mouse embryonic stem cells (ESCs) can differentiate to all germ layers and serve as an in vitro model of embryonic development. To better understand the differentiation paths traversed by ESCs committing to different lineages, we track individual differentiating ESCs by timelapse imaging followed by multiplexed high-dimensional Imaging Mass Cytometry (IMC) protein quantification. This links continuous live single-cell molecular NANOG and cellular dynamics quantification over 5-6 generations to protein expression of 37 different molecular regulators in the same single cells at the observation endpoints. Using this unique data set including kinship history and live lineage marker detection, we show that NANOG downregulation occurs generations prior to, but is not sufficient for neuroectoderm marker Sox1 upregulation. We identify a developmental cell type co-expressing both the canonical Sox1 neuroectoderm and FoxA2 endoderm markers in vitro and confirm the presence of such a population in the post-implantation embryo. RNASeq reveals cells co-expressing SOX1 and FOXA2 to have a unique cell state characterized by expression of both endoderm as well as neuroectoderm genes suggesting lineage potential towards both germ layers.
Keyphrases
- single cell
- embryonic stem cells
- rna seq
- transcription factor
- poor prognosis
- high resolution
- induced apoptosis
- stem cells
- high throughput
- cell cycle arrest
- binding protein
- signaling pathway
- gene expression
- oxidative stress
- cell death
- magnetic resonance
- cell therapy
- cell proliferation
- protein protein
- computed tomography
- endoplasmic reticulum stress
- mass spectrometry
- pregnant women
- magnetic resonance imaging
- single molecule
- small molecule
- fluorescence imaging
- mesenchymal stem cells
- quantum dots
- machine learning
- deep learning
- risk assessment
- human health
- wild type