Copy number heterogeneity is a prominent feature within tumors. The molecular basis for this heterogeneity remains poorly characterized. Here, we demonstrate that hypoxia induces transient site-specific copy gains (TSSGs) in primary, nontransformed, and transformed human cells. Hypoxia-driven copy gains are not dependent on HIF1α or HIF2α; however, they are dependent on the KDM4A histone demethylase and are blocked by inhibition of KDM4A with a small molecule or the natural metabolite succinate. Furthermore, this response is conserved at a syntenic region in zebrafish cells. Regions with site-specific copy gain are also enriched for amplifications in hypoxic primary tumors. These tumors exhibited amplification and overexpression of the drug resistance gene CKS1B, which we recapitulated in hypoxic breast cancer cells. Our results demonstrate that hypoxia provides a biological stimulus to create transient site-specific copy alterations that could result in heterogeneity within tumors and cell populations. These findings have major implications in our understanding of copy number heterogeneity and the emergence of drug resistance genes in cancer.

The amyloid β-peptide (Aβ) of Alzheimer’s disease (AD) is generated by proteolysis within the transmembrane domain (TMD) of a C-terminal fragment of the amyloid β protein-precursor (APP CTFβ) by the γ-secretase complex. This processing produces Aβ ranging from 38 to 49 residues in length. Evidence suggests that this spectrum of Aβ peptides is the result of successive γ-secretase cleavages, with endoproteolysis first occurring at the ε sites to generate Aβ48 or Aβ49, followed by C-terminal trimming mostly every three residues along two product lines to generate shorter, secreted forms of Aβ: the primary Aβ49-46-43-40 line and a minor Aβ48-45-42-38 line. The major secreted Aβ species are Aβ40 and Aβ42, and an increased proportion of the longer, aggregation-prone Aβ42 compared to Aβ40 is widely thought to be important in AD pathogenesis. We examined TMD substrate determinants of the specificity and efficiency of ε site endoproteolysis and carboxypeptidase trimming of CTFβ by γ-secretase. We determined that the C-terminal negative charge of the intermediate Aβ49 does not play a role in its trimming by γ-secretase. Peptidomimetic probes suggest that γ-secretase has S1’, S2’, and S3’ pockets, through which trimming by tripeptides may be determined. However, deletion of residues around the ε sites demonstrates that a depth of three residues within the TMD is not a determinant of the location of endoproteolytic ε cleavage of CTFβ. We also show that instability of the CTFβ TMD helix near the ε site significantly increases endoproteolysis, and that helical instability near the carboxypeptidase cleavage sites facilitates C-terminal trimming by γ-secretase. In addition, we found that CTFβ dimers are not endoproteolyzed by γ-secretase. These results support a model in which initial interaction of the array of residues along the undimerized single helical TMD of substrates dictates the site of initial ε cleavage and that helix unwinding is essential for both endoproteolysis and carboxypeptidase trimming.

SUMMARY Transcription of developmental genes is controlled by multiple enhancers. Frequently, more than one enhancer can activate transcription from the same promoter in the same cells. How is regulatory information from multiple enhancers combined to determine the overall expression output? We measure nascent transcription driven by a pair of shadow enhancers, each enhancer of the pair separately, and each duplicated, using live imaging in Drosophila embryos. This set of constructs allows us to quantify the input-output function describing signal integration by two enhancers. We show that signal integration performed by these shadow enhancers and duplications varies across the expression pattern, implying that how their activities are combined depends on the transcriptional regulators bound to the enhancers in different parts of the embryo. Characterizing signal integration by multiple enhancers is a critical step in developing conceptual and computational models of gene expression at the locus level, where multiple enhancers control transcription together.