Searching journal content for articles similar to Smith et al. 6 (11): 1029.

Displaying results 1-10 of 176
For checked items
  1. ...Splice exhibits excellent reproducibility across cDNA input and PCR cycle differences and is able to identify and quantitate transcripts that differed by a single base. Of the 193 BRCA1 and 72 BRCA2 variants profiled, 89% (237/265) had no publicly available RNA splicing data. Complete or near complete impact...
  2. ...). By looking at the mutations through -wide “breadth”, the limited number of equivalents becomes less restrictive, enabling the identification of tumor fractions (TFs) ∼100 times lower compared to targeted “depth” in SNV analysis (Zviran et al. 2020). Genome-wide cfDNA can also reveal tumor-specific copy...
  3. ..., Mandell JB, Gulsuner S, King MC. 2021. CRISPR-Cas9/long-read sequencing approach to identify cryptic variants in BRCA1 and other tumour suppressor genes. J Med Genet 58: 850–852. doi:10.1136/jmedgenet-2020-107320 ↵Zeng T, Li YI. 2022. Predicting RNA splicing from DNA sequence using Pangolin. Genome Biol...
  4. ...of SIRT1 in modulating breast cancer immunity. Although SIRT1 is not explicitly listed as a key player in the breast cancer pathway according to the KEGG database (absent from hsa05224), it is recognized as a tumor suppressor owing to its protective role against DNA damage and oxidative stress...
  5. ...Gs are indicated. (E) Locus of the promoter and regulatory region of SPI1 with DNA methylation and gene expression levels before and after 9 mo of HC treatment. Yellow shading indicates DNA methylation levels, blue shading indicates significant DMRs, and gray shading denotes gene expression levels.Genomic context...
  6. ...-molecule sequencing. Gene isolation, amplification, or ligation is not necessary. Accurate and low-cost detection of DNA sequence variants is demonstrated for the BRCA1 gene. Disease-causing mutations as well as common variants from well-characterized samples are identified. Single-molecule sequencing generates very...
  7. ...misclassified cell lines) (Supplemental Table S1).To infer the presence of the Y Chromosome, we used the DNA copy number of all genes on the Y Chromosome (relative to all other genes) and the expression of Y-linked genes. Classification based on the Y Chromosome DNA copy number (Fig. 1A) was in high agreement...
  8. ...hypomethylation, DNA hypermethylation of CpG islands (CGIs) is a well-defined feature of cancer cells and is believed to be the main cause of aberrant gene repression (Baylin and Jones 2016). CGIs are key regulatory genomic regions of a few hundred base pairs in size characterized by high frequency of Cp...
  9. ...induction (Fig. 6D). These results suggest that DDX54 promotes cell survival upon DNA damage. As a potent regulator of the gene expression during the DDR, DDX54 has the potential to be important for tumor biology. To address this, we analyzed The Cancer Genome Atlas (TCGA) mRNA-seq data (Sebestyén et al...
  10. ...such as the breast cancer susceptibility gene BRCA1 (Tapia et al. 2008) supports the notion that tumor suppressors are frequently inactivated by DNA methylation at CpG islands and promoters. Genome-scale methods including MeDIP-seq (Ruike et al. 2010) and CHARM (Irizarry et al. 2009) have confirmed global...
For checked items

Preprint Server