ArticleIntegrative biology : quantitative biosciences from nano to macro2014
Dynamic transcription factor activity and networks during ErbB2 breast oncogenesis and targeted therapy.
Article in Integrative biology : quantitative biosciences from nano to macro, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Early metastasis is characterized by Gr1+ cell dysregulation and is inhibited by immunomodulatory nanoparticles.Molecular oncology · 2025Article
- Review
- Towards systems tissue engineering: Elucidating the dynamics, spatial coordination, and individual cells driving emergent behaviors.Biomaterials · 2020Review
- Dynamic microRNA activity identifies therapeutic targets in trastuzumab-resistant HER2Biotechnology and bioengineering · 2018Article
- Synergy of Paracrine Signaling During Early-Stage Mouse Ovarian Follicle DevelopmentCellular and molecular bioengineering · 2018Article
- Biomaterial Scaffolds as Pre-metastatic Niche Mimics Systemically Alter the Primary Tumor and Tumor Microenvironment.Advanced healthcare materials · 2018Article
- Apoptosis-induced CXCL5 accelerates inflammation and growth of prostate tumor metastases in bone.The Journal of clinical investigation · 2018Article
- Synergistic effect of eribulin and CDK inhibition for the treatment of triple negative breast cancer.Oncotarget · 2017Article
- Systems analysis of dynamic transcription factor activity identifies targets for treatment in Olaparib resistant cancer cells.Biotechnology and bioengineering · 2017Article
- Dynamic transcription factor activity networks in response to independently altered mechanical and adhesive microenvironmental cues.Integrative biology : quantitative biosciences from nano to macro · 2016Article
- Secretome identification of immune cell factors mediating metastatic cell homing.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Tissue development and disease progression are multi-stage processes controlled by an evolving set of key regulatory factors, and identifying these factors necessitates a dynamic analysis spanning relevant time scales. Current omics approaches depend on incomplete biological databases to identify critical cellular processes. Herein, we present TRACER (TRanscriptional Activity CEll aRrays), which was employed to quantify the dynamic activity of numerous transcription factor (TFs) simultaneously in 3D and networks for TRACER (NTRACER), a computational algorithm that allows for cellular rewiring to establish dynamic regulatory networks based on activity of TF reporter constructs. We identified major hubs at various stages of culture associated with normal and abnormal tissue growth (i.e., ELK-1 and E2F1, respectively) and the mechanism of action for a targeted therapeutic, lapatinib, through GATA-1, which were confirmed in human ErbB2 positive breast cancer patients and human ErbB2 positive breast cancer cell lines that were either sensitive or resistant to lapatinib.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.