Biology subjects

Yang, W. R.

Publications and source records attributed to Yang, W. R..

3 recordsLinked to original sources

bioRxiv2023

Vitamin C activates young LINE-1 elements in mouse embryonic stem cells via H3K9me3 demethylation

Vitamin C (vitC) enhances the activity of 2-oxoglutarate-dependent dioxygenases, including TET enzymes, which catalyse DNA demethylation, and Jumonji-domain histone demethylases. The epigenetic remodelling promoted by vitC improves the efficiency of induced pluripotent stem cell derivation, and is required to attain a ground-state of pluripotency in embryonic stem cells (ESCs) that closely mimics the inner cell mass of the early blastocyst. However, genome-wide DNA and histone demethylation can lead to upregulation of transposable elements (TEs), and it is not known how vitC addition in culture media affects TE expression in pluripotent stem cells. Here we show that vitC increases the expression of evolutionarily young LINE-1 (L1) elements in mouse ESCs. We find that TET activity is dispensable for these effects, and that instead L1 upregulation occurs largely as a result of H3K9me3 loss mediated by KDM4A/C histone demethylases. Despite increased L1 levels, we did not detect increased somatic insertion rates in vitC-treated cells. Notably, treatment of human ESCs with vitC also increases L1 protein levels, which could impact the genetic and epigenetic stability of human pluripotent stem cells.

genetics↗

bioRxiv2019

LINE-1 ORF2P EXPRESSION IS NEARLY IMPERCEPTIBLE IN HUMAN CANCERS

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackgroundC_ST_ABSLong interspersed element-1 (LINE-1, L1) is the major driver of mobile DNA activity in modern humans. When expressed, LINE-1 loci produce bicistronic transcripts encoding two proteins essential for retrotransposition, ORF1p and ORF2p. Many types of human cancers are characterized by L1 promoter hypomethylation, L1 transcription, L1 ORF1p protein expression, and somatic L1 retrotransposition. ORF2p encodes the endonuclease and reverse transcriptase activities required for L1 retrotransposition. Its expression is poorly characterized in human tissues and cell lines.\n\nResultsWe report mass spectrometry based tumor proteome profiling studies wherein ORF2p eludes detection. To test whether ORF2p could be detected with specific reagents, we developed and validated five rabbit monoclonal antibodies with immunoreactivity for specific epitopes on the protein. These reagents readily detect ectopic ORF2p expressed from bicistronic L1 constructs. However, endogenous ORF2p is not detected in human tumor samples or cell lines by western blot, immunoprecipitation, or immunohistochemistry despite high levels of ORF1p expression. Moreover, we report endogenous ORF1p-associated interactomes, affinity isolated from colorectal cancers, wherein we similarly fail to detect ORF2p. These samples include primary tumors harboring hundreds of somatically-acquired L1 insertions. The new data are available via ProteomeXchange with identifier PXD013743.\n\nConclusionsAlthough somatic retrotransposition provides unequivocal genetic evidence for the expression of ORF2p in human cancers, we are unable to directly measure its presence using several standard methods. Experimental systems have previously indicated an unequal stoichiometry between ORF1p and ORF2p, but in vivo, the expression of these two proteins may be more strikingly uncoupled. These findings are consistent with observations that ORF2p is not tolerable for cell growth.

cancer biology↗

bioRxiv2018

SQuIRE: Software for Quantifying Interspersed Repeat Elements

Transposable elements are interspersed repeat sequences that make up much of the human genome. Conventional approaches to RNA-seq analysis often exclude these sequences, fail to optimally adjudicate read alignments, or align reads to interspersed repeat consensus sequences without considering these transcripts in their genomic contexts. As a result, repetitive sequence contributions to transcriptomes are not well understood. Here, we present Software for Quantifying Interspersed Repeat Expression (SQuIRE), an RNA-seq analysis pipeline that integrates repeat and genome annotation (RepeatMasker), read alignment (STAR), gene expression (StringTie) and differential expression (DESeq2). SQuIRE uniquely provides a locus-specific picture of interspersed repeat-encoded RNA expression. SQuIRE can be downloaded at (github.com/wyang17/SQuIRE).

bioinformatics↗