L1TD1

L1TD1 is a cytoplasmic RNA-binding protein specifically expressed in pluripotent stem cells and, unlike its mouse ortholog, is essential for the maintenance of stemness in human cells. Although L1TD1 is the only known protein-coding gene domesticated from a LINE-1 (L1) retroelement, the functional legacy of its ancestral protein, ORF1p of L1, and how it is manifested in L1TD1 are still unknown. Here, we determined RNAs associated with L1TD1 and found that, like ORF1p, L1TD1 binds L1 RNAs and localizes to high-density ribonucleoprotein (RNP) condensates. Unexpectedly, L1TD1 enhanced the translation of a subset of mRNAs enriched in the condensates. L1TD1 depletion promoted the formation of stress granules in embryonic stem cells. In HeLa cells, ectopically expressed L1TD1 facilitated the dissolution of stress granules and granules formed by pathological mutations of TDP-43 and FUS. The glutamate-rich domain and the ORF1-homology domain of L1TD1 facilitated dispersal of the RNPs and induced autophagy, respectively. These results provide insights into how L1TD1 regulates gene expression in pluripotent stem cells. We propose that the ability of L1TD1 to dissolve stress granules may provide novel opportunities for treatment of neurodegenerative diseases caused by disturbed stress granule dynamics.

Genome-wide association studies have shown that body mass index (BMI), an estimate of obesity, is highly polygenic. Individual variants typically have small effect sizes, making it challenging to identify unique loci in under-represented ethnic groups which lack statistical power due to their small sample size. Yet obesity is a major health disparity and is particularly prevalent in southwestern American Indians. Here, we identify and characterize a new locus for BMI that was detected by analyzing moderate associations with BMI obtained in a population-based sample of southwestern American Indians together with the well-powered GIANT dataset.

Genotypes for 10.5 million variants were tested for association with BMI in 5870 American Indians and 2600 variants that showed an association P < 10−3 in the American Indian sample were combined in a meta-analysis with the BMI data reported in GIANT (N = 240,608). The newly identified gene, NFIA-AS2 was functionally characterized, and the impact of its lead associated variant rs1777538 was studied both in-silico and in-vitro.

Rs1777538 (T/C; C allele frequency = 0.16 in American Indians and 0.04 in GIANT, meta-analysis P = 5.0 × 10−7) exhibited a large effect in American Indians (1 kg/m2 decrease in BMI per copy of C allele). NFIA-AS2 was found to be a nuclear localized long non-coding RNA expressed in tissues pertinent to human obesity. Analysis of this variant in human brown preadipocytes showed that NFIA-AS2 transcripts carrying the C allele had increased RNA degradation compared to the T allele transcripts (half-lives = 9 h, 13 h respectively). During brown adipogenesis, NFIA-AS2 featured a stage-specific regulation of nearby gene expression where rs1777538 demonstrated an allelic difference in regulation in the mature adipocytes (the strongest difference was observed for L1TD1, P = 0.007).

Our findings support a role for NFIA-AS2 in regulating pathways that impact BMI.

Engineered tissues and cell therapies based on human induced pluripotent stem cells (iPSCs) represent a promising approach for novel medicines. However, iPSC-derived cells and tissues may contain residual undifferentiated iPSCs that could lead to teratoma formation after implantation into patients. As a consequence, highly sensitive and specific methods for detecting residual undifferentiated iPSCs are indispensable for safety evaluations of iPSC-based therapies. The present study provides an approach for identifying potential marker genes for iPSC impurities in iPSC-derived cells using RNA sequencing data from iPSCs and various differentiated cell types.

Identifying iPSC marker genes for each cell type individually provided a larger and more specific set of potential marker genes than considering all cell types in the analysis. Thus, the authors focused on identifying markers for iPSC impurities in iPSC-derived cardiomyocytes (iCMs) and validated the selected genes by reverse transcription quantitative polymerase chain reaction. The sensitivity of the candidate genes was determined by spiking different amounts of iPSCs into iCMs and their performance was compared with the previously suggested marker lin-28 homolog A (LIN28A).

Embryonic stem cell-related gene (ESRG), long intergenic non-protein coding RNA 678 (LINC00678), CaM kinase-like vesicle-associated (CAMKV), indoleamine 2,3-dioxygenase 1 (IDO1), chondromodulin (CNMD), LINE1-type transposase domain containing 1 (L1DT1), LIN28A, lymphocyte-specific protein tyrosine kinase (LCK), vertebrae development-associated (VRTN) and zinc finger and SCAN domain containing 10 (ZSCAN10) detected contaminant iPSCs among iCMs with a limit of detection that ranged from 0.001% to 0.1% depending on the gene and iCM batch used.

Using the example of iCMs, the authors provide a strategy for identifying a set of highly specific and sensitive markers that can be used for quality assessment of iPSC-derived products.