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1.
Nature ; 626(7997): 40-42, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38287184
2.
Cell Genom ; 4(2): 100498, 2024 Feb 14.
Artigo em Inglês | MEDLINE | ID: mdl-38309261

RESUMO

Long interspersed element 1 (L1) retrotransposons are implicated in human disease and evolution. Their global activity is repressed by DNA methylation, but deciphering the regulation of individual copies has been challenging. Here, we combine short- and long-read sequencing to unveil L1 methylation heterogeneity across cell types, families, and individual loci and elucidate key principles involved. We find that the youngest primate L1 families are specifically hypomethylated in pluripotent stem cells and the placenta but not in most tumors. Locally, intronic L1 methylation is intimately associated with gene transcription. Conversely, the L1 methylation state can propagate to the proximal region up to 300 bp. This phenomenon is accompanied by the binding of specific transcription factors, which drive the expression of L1 and chimeric transcripts. Finally, L1 hypomethylation alone is typically insufficient to trigger L1 expression due to redundant silencing pathways. Our results illuminate the epigenetic and transcriptional interplay between retrotransposons and their host genome.


Assuntos
Metilação de DNA , Retroelementos , Animais , Humanos , Retroelementos/genética , Metilação de DNA/genética , Elementos Nucleotídeos Longos e Dispersos/genética , Fatores de Transcrição/genética , Primatas/genética , Epigênese Genética/genética
3.
Oncogene ; 43(18): 1369-1385, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38467851

RESUMO

Breast cancer is the most prevalent type of cancer in women worldwide. Within breast tumors, the basal-like subtype has the worst prognosis, prompting the need for new tools to understand, detect, and treat these tumors. Certain germline-restricted genes show aberrant expression in tumors and are known as Cancer/Testis genes; their misexpression has diagnostic and therapeutic applications. Here we designed a new bioinformatic approach to examine Cancer/Testis gene misexpression in breast tumors. We identify several new markers in Luminal and HER-2 positive tumors, some of which predict response to chemotherapy. We then use machine learning to identify the two Cancer/Testis genes most associated with basal-like breast tumors: HORMAD1 and CT83. We show that these genes are expressed by tumor cells and not by the microenvironment, and that they are not expressed by normal breast progenitors; in other words, their activation occurs de novo. We find these genes are epigenetically repressed by DNA methylation, and that their activation upon DNA demethylation is irreversible, providing a memory of past epigenetic disturbances. Simultaneous expression of both genes in breast cells in vitro has a synergistic effect that increases stemness and activates a transcriptional profile also observed in double-positive tumors. Therefore, we reveal a functional cooperation between Cancer/Testis genes in basal breast tumors; these findings have consequences for the understanding, diagnosis, and therapy of the breast tumors with the worst outcomes.


Assuntos
Neoplasias da Mama , Biologia Computacional , Regulação Neoplásica da Expressão Gênica , Humanos , Neoplasias da Mama/genética , Neoplasias da Mama/patologia , Feminino , Biologia Computacional/métodos , Metilação de DNA , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Linhagem Celular Tumoral , Masculino , Epigênese Genética
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