NCI Genomics

@NCIgenomics

Official Twitter Account of NCI’s Center for Cancer Genomics (CCG), providing cancer genomics news & updates. Privacy Policy:

Bethesda, MD
Vrijeme pridruživanja: listopad 2011.

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  1. prije 18 sati

    Whole-exome & transcriptome analysis of 305 East Asian-ancestry lung adenocarcinoma patients finds fewer mutations and copy number alterations, ancestry differences with clinical implications

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  2. 4. velj

    A comparison of genome-wide copy-number profiles of 222 non-small cell samples finds more genomic instability, other molecular features specific to African Americans

    Kras-Driven Lung Cancer. National Cancer Institute & Huntsman Cancer Institute
    Poništi
  3. 3. velj

    Looking at mutational burden, cell-to-cell heterogeneity and driver mutations with whole-genome sequencing of 632 colonies from single bronchial epithelial cells across 16 non-smokers, current smokers, and ex-smokers

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  4. 3. velj

    Analysis of T cell repertoire for 236 early-stage non-small cell patients and how it relates to clinicopathologic features, mutational and immune landscape

    The T cell repertoire is associated to clinicopathologic attributes. Reuben et al. (2020) Nat Commun
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  5. 2. velj

    Imaging mass cytometry study with 35 biomarkers and 352 patients identifies multicellular features of the tumor microenvironment and novel subgroups of associated with distinct clinical outcomes

    Simultaneous multiplexed imaging of mRNA and Proteins with subcellular resolution imaging mass cytometry. Schulz et al. (2018) Cell Syst
    Poništi
  6. 2. velj

    A peek into the family lives of cancer genomics researchers, on the latest episode of the Personal Genomics

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  7. 1. velj

    Analysis of cis-regulatory modules across 1,844 whole tumor genomes finds frequently mutated regulatory elements linked with known cancer genes and processes

    Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks. Zhu et al. (2020) Molecular Cell
    Poništi
  8. 1. velj

    Differences in the metabolic activity observed in single cells versus bulk tumors; on single-cell metabolism analyses

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  9. 31. sij

    Single-cell RNA-seq of >56K endothelial cells from human, mouse, and cultured models distinguishes migratory v basement-membrane remodeling phenotypes and candidate angiogenic pathway

    An Integrated Gene Expression Landscape Profiling Approach to Identify Lung Tumor Endothelial Cell Heterogeneity and Angiogenic Candidates. Goveia et al. (2020) Cancer Cell
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  10. 31. sij

    Study on circular RNAs identifies an epigenetic mechanism mediating invasion and metastasis in

    Epigenetic Silencing of CDR1as Drives IGF2BP3-Mediated Melanoma Invasion and Metastasis. Hanniford et al. (2020) Cancer Cell
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  11. 30. sij

    Review: emerging technologies for discovering, characterizing and validating human enhancers

    Model of how an enhancer works to increases the activity of a gene promoter. Jon Cheff, Wikimedia Commons
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  12. proslijedio/la je Tweet
    30. sij

    GDC users: please renew your data access token! The GDC has recently upgraded the API and changed the data access token structure. Instructions for downloading a new token: .

    Authentication tokens at the NCI Genomic Data Commons
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  13. 30. sij

    Changing 3D chromatin interactions may help explain endocrine therapy resistance in ER+

    Proposed model of epigenetic reprogramming in endocrine-resistant cells. Achinger-Kawecka et al. (2020) Nat Commun
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  14. 29. sij

    What can we learn about metabolism of tumors from single-cell RNA-seq data? Read our latest researcher interview with

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  15. 29. sij

    Characterizing chimeric RNAs from 9495 non-diseased samples of 53 different tissues from the project

    The landscape of recurrent chimeric RNAs and their classifications based on parental gene location in each tissue type. Singh et al. (2020) Nucleic Acids Res
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  16. 28. sij

    Thesis committee meetings, meetings with collaborators, consortium calls... PTA meetings. Hear cancer genomics researchers describe their lives as parents and researchers

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  17. 28. sij

    Imaging mass cytometry study with 35 biomarkers and 352 patients identifies multicellular features of the tumor microenvironment and novel subgroups of associated with distinct clinical outcomes

    Simultaneous multiplexed imaging of mRNA and Proteins with subcellular resolution imaging mass cytometry. Schulz et al. (2018) Cell Syst
    Poništi
  18. proslijedio/la je Tweet

    In an funded study, the Newman Lab et al. developed (a computational approach) for predicting cell differentiation states from that was used to investigate the role of stem cells in breast cancer .

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  19. 28. sij

    Our latest blog post features Dr. Jason Locasale on what we're learning about the metabolism of individual cell types in the tumor microenvironment and how the single-cell genomics revolution is changing the field

    Individual immune cells from different patient tumors (indicated by different colors) have similar metabolic programs. Adapted from Xiao et al. (2019) Nat Commun.
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  20. 27. sij

    How do the commitments of academia affect family life? Hear from researchers in various stages of their lives on episode 3 of the Personal Genomics Podcast

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