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HOX genes promote cell proliferation and are potential therapeutic targets in adrenocortical tumours.

Jeffrey C Francis | Jennifer R Gardiner | Yoan Renaud | Ritika Chauhan | Yacob Weinstein | Celso Gomez-Sanchez | Anne-Marie Lefrançois-Martinez | Jérôme Bertherat | Pierre Val | Amanda Swain
British journal of cancer | 2021

Understanding the pathways that drive adrenocortical carcinoma (ACC) is essential to the development of more effective therapies. This study investigates the role of the transcription factor HOXB9 and other HOX factors in ACC and its treatment.

Pubmed ID: 33214683

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: BLRD VA, United States
    Id: I01 BX004681
  • Agency: NIGMS NIH HHS, United States
    Id: U54 GM115428
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL144847

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This is a list of tools and resources that we have found mentioned in this publication.


Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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STRING (tool)

RRID:SCR_005223

Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)

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HTSeq (tool)

RRID:SCR_005514

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

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Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

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htseq-count (tool)

RRID:SCR_011867

Script distributed with the HT-Seq Python framework for processing RNA-seq or DNA-seq data.

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DESeq2 (tool)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

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NCI-H295R (tool)

RRID:CVCL_0458

Cell line NCI-H295R is a Cancer cell line with a species of origin Homo sapiens (Human)

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HEK293T (tool)

RRID:CVCL_0063

Cell line HEK293T is a Transformed cell line with a species of origin Homo sapiens (Human)

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