Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer.

Yoo-Ah Kim, Damian Wojtowicz, Rebecca Sarto Basso, Itay Sason, Welles Robinson, Dorit S Hochbaum, Mark D M Leiserson, Roded Sharan, Fabio Vadin, Teresa M Przytycka

May 2020

Synopsis of Social media discussions

The discussions reflect a positive reception emphasizing the novel insights into mutational processes using network-based approaches, with words like 'elucidate' and hashtags indicating a focus on bioinformatics and bioRxiv as platforms for significant scientific advancements. The tone suggests appreciation for the research’s contribution to understanding breast cancer mutations and pathways.

A
Agreement
 Moderate agreement

Most discussions recognize the value of network-based methods in revealing mutational differences in breast cancer, indicating general agreement on the significance of the research.

I
Interest
 Moderate level of interest

The discussions show interest mostly through references to technical aspects and the potential of these approaches, though some posts are quite brief.

E
Engagement
 High engagement

Several participants delve into methodological implications, discussing how the approach sheds light on mutation pathways, demonstrating deep engagement.

I
Impact
 Moderate level of impact

The emphasis on understanding mutation mechanisms and the multiple mentions of potential for influence suggest moderate to high perceived impact.

Social Mentions

YouTube

2 Videos

Twitter

14 Posts

Metrics

Video Views

978

Total Likes

20

Extended Reach

160,614

Social Features

16

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Understanding Mutational Signatures in Breast Cancer Using Network Approaches

Understanding Mutational Signatures in Breast Cancer Using Network Approaches

The study explores how different mutational processes in breast cancer can be distinguished based on genetic and expression data using a network-based approach. It investigates biological pathways linked to these signatures and their underlying mechanisms.

Computational Genomics Summer Institute CGSI

October 28, 2022

759 views

Understanding Mutational Signatures in Breast Cancer Through Network Analysis

Understanding Mutational Signatures in Breast Cancer Through Network Analysis

This video explores how different mutational processes in breast cancer, like APOBEC activity and clocklike signatures, can be distinguished based on genetic and expression data using a network-based approach.

Computational Genomics Summer Institute CGSI

September 6, 2023

219 views

  • J. Harry Caufield
    @harry_caufield (Twitter)

    TP: can see the interaction between mutation and molecular pathways re: breast cancer - see https://t.co/31vY5KROxj #NetBio #ISMB2022
    view full post

    July 12, 2022

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    October 31, 2020

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    October 7, 2020

    2

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    September 15, 2020

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    August 12, 2020

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    July 14, 2020

    1

  • mutational signatures twitbot
    @mutSignatures (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/ykWlXpTxxf
    view full post

    June 19, 2020

  • BioNetPapers
    @bionet_papers (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. https://t.co/TnoS2AJJba
    view full post

    May 31, 2020

    1

  • Raunak Shrestha, PhD
    @raunakms (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer https://t.co/UxeLMXbIBf
    view full post

    May 30, 2020

  • Gang Wu
    @wufgang (Twitter)

    Learn tumor evolution from passenger mutations, Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer https://t.co/Cp3rjJVeNh
    view full post

    May 11, 2019

    2

  • bxv_bioinf
    @bxv_bioinf (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer https://t.co/BaTfCcWsjM
    view full post

    March 5, 2019

  • Helio Rocha
    @_elioRocha (Twitter)

    #bioRxiv Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer #bioinfo https://t.co/BBFEIhu5ne
    view full post

    March 5, 2019

  • bioRxiv Bioinfo
    @biorxiv_bioinfo (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer https://t.co/6HdFp39a8c #biorxiv_bioinfo
    view full post

    March 5, 2019

    1

  • bioRxiv
    @biorxivpreprint (Twitter)

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer https://t.co/RuBx7r4gJC #bioRxiv
    view full post

    March 5, 2019

Abstract Synopsis

  • The study explores how different mutational processes in breast cancer, like APOBEC activity and clocklike signatures, can be distinguished based on genetic and expression data using a network-based approach.
  • It investigates which biological pathways are linked to these mutational signatures and whether genetic alterations in these pathways drive specific mutational patterns.
  • The findings reveal that the APOBEC-related mutations and age-related signatures are caused by different mechanisms, with some mutations related to cell cycle activity and others not, highlighting the diverse origins of these mutational signatures.