Discover and read the best of Twitter Threads about #transcriptionfactor

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Our new paper is on biorxiv! "Predicting master transcription factors from pan-cancer expression data"…. We set out to find master TFs in ovarian cancer, and went on quite a journey... A few highlights in the thread 1/
Prioritizing candidate MTFs without ChIP-seq data is tough, so we developed a gene expression-based approach which we loving called the Cancer Core Transcription factor Specificity (CaCTS) algorithm 🌵. (We then decorated the lab in cactuses) /2
Using CaCTS we identified candidate MTFs for 34 major tumor types and 140 molecular/histologic subtypes.

Candidate MTFs tend to be associated with super-enhancers, and many are lineage-specific essential genes - woo CaCTS works! 3/
Read 10 tweets
DNA Sequence Constraints Define Functionally Active Steroid Nuclear Receptor Binding Sites in Chromatin:

1336 Datasets:

Defining NR Functional Enhancers (NRFEs)

Enhancer Activation

sNR Cross-Talk
Functional Genomics:

📌Describes the relationship between an organism’s genotype (genetic makeup, DNA sequence) and phenotype (observable traits) on a global scale

📌A key characteristic is the genome-wide scale, rather than a more traditional “gene-by-gene” approach


-Blueprint for life
-Made of DNA
-Act as instructions to make proteins

📌Gene Expression:
DNA sequence is first copied to make an RNA molecule (transcription),
which is then "decoded" to build a protein (translation)

Proteins=Building Blocks Of Life
Read 8 tweets

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