Automated Generation of hiPSC-Derived Hepatic Progeny by Cost-Efficient Compounds

Human pluripotent stem cell (hPSC)-derived hepatocyte-like cells (HLCs) hold great promise for liver disease modeling, drug discovery, and drug toxicity screens. Yet, several hurdles still need to be overcome, including among others decrease in the cost of goods to generate HLCs and automation of the differentiation process. We here describe that the use of an automated liquid handling system results in highly reproducible HLC differentiation from hPSCs. This enabled us to screen 92 chemicals to replace expensive growth factors at each step of the differentiation protocol to reduce the cost of goods of the differentiation protocol by approximately 79%. In addition, we also evaluated several recombinant extracellular matrices to replace Matrigel. We demonstrated that differentiation of hPSCs on Laminin-521 using an optimized small molecule combination resulted in HLCs that were transcriptionally identical to HLCs generated using the growth factor combinations. In addition, the HLCs created using the optimized small molecule combination secreted similar amounts of albumin and urea, and relatively low concentrations of alfa-fetoprotein, displayed similar CYP3A4 functionality, and a similar drug toxicity susceptibility as HLCs generated with growth factor cocktails. The broad applicability of the new differentiation protocol was demonstrated for 4 different hPSC lines. This allowed the creation of a scalable, xeno-free, and cost-efficient hPSC-derived HLC culture, suitable for high throughput disease modeling and drug screenings, or even for the creation of HLCs for regenerative therapies.

Ratiometric NAD+ Sensors Reveal Subcellular NAD+ Modulators

Mapping NAD⁺ dynamics in live cells and human is essential for translating NAD⁺ interventions into effective therapies. Yet, genetically encoded NAD⁺ sensors with better specificity and pH resistance are still needed for the cost-effective monitoring of NAD⁺ in both subcellular compartments and clinical samples. Here, we introduce multicolor, resonance energy transfer-based NAD⁺ sensors covering nano- to millimolar concentration ranges for clinical NAD⁺ measurement and subcellular NAD⁺ visualization. The sensors captured the blood NAD⁺ increase induced by NMN supplementation and revealed the distinct subcellular effects of NAD⁺ precursors and modulators. The sensors then enabled high-throughput screenings for mitochondrial and nuclear NAD⁺ modulators and identified α-GPC, a cognition-related metabolite that induces NAD⁺ redistribution from mitochondria to the nucleus relative to the total adenine nucleotides, which was further confirmed by NAD⁺ FRET microscopy.