Using Pluripotent Stem Cells to Understand Normal and Leukemic Hematopoietic Development

Rapid and accurate identification of stem cell differentiation stages via SERS and convolutional neural networks

Monitoring the transition of cell states during induced pluripotent stem cell (iPSC) differentiation is crucial for clinical medicine and basic research. However, both identification category and prediction accuracy need further improvement. Here, we propose a method combining surface-enhanced Raman spectroscopy (SERS) with convolutional neural networks (CNN) to precisely identify and distinguish cell states during stem cell differentiation. First, mitochondria-targeted probes were synthesized by combining AuNRs and mitochondrial localization signal (MLS) peptides to obtain effective and stable SERS spectra signals at various stages of cell differentiation. Then, the SERS spectra served as input datasets, and their distinctive features were learned and distinguished by CNN. As a result, rapid and accurate identification of six different cell states, including the embryoid body (EB) stage, was successfully achieved throughout the stem cell differentiation process with an impressive prediction accuracy of 98.5%. Furthermore, the impact of different spectral feature peaks on the identification results was investigated, which provides a valuable reference for selecting appropriate spectral bands to identify cell states. This is also beneficial for shortening the spectral acquisition region to enhance spectral acquisition speed. These results suggest the potential for SERS-CNN models in quality monitoring of stem cells, advancing the practical applications of stem cells.

Making Human Hematopoietic Stem Cells Without Transgenes

Creating hematopoietic stem cells (HSCs) capable of multilineage engraft while possessing the ability to self-renew stands as a pivotal achievement within the field of regenerative medicine. However, achieving the generation of these cells without transgene expression or teratoma formation has not been fully accomplished. In a recent publication featured in Cell Stem Cell, Piau et al. document the production of functional HSCs derived from human-induced pluripotent stem cells (hiPSCs). They achieved this through a one-step differentiation protocol that notably does not require any transgene expression. hiPSCs-derived HSCs can engraft and self-renew upon serial transplantation and they are able to reconstitute lymphoid, myeloid, and erythroid compartments. This study presents a promising system to further study human HSC ontogeny, and it might represent a crucial step to obtain HSCs.

The role of GATA2 in adult hematopoiesis and cell fate determination

The correct maintenance and differentiation of hematopoietic stem cells (HSC) in bone marrow is vital for the maintenance and operation of the human blood system. GATA2 plays a critical role in the maintenance of HSCs and the specification of HSCs into the different hematopoietic lineages, highlighted by the various defects observed in patients with heterozygous mutations in GATA2, resulting in cytopenias, bone marrow failure and increased chance of myeloid malignancy, termed GATA2 deficiency syndrome. Despite this, the mechanisms underlying GATA2 deficiency syndrome remain to be elucidated. The detailed description of how GATA2 regulates HSC maintenance and blood lineage determination is crucial to unravel the pathogenesis of GATA2 deficiency syndrome. In this review, we summarize current advances in elucidating the role of GATA2 in hematopoietic cell fate determination and discuss the challenges of modeling GATA2 deficiency syndrome.