Discover and read the best of Twitter Threads about #transcriptionfactor
Most recents (4)
How do the hundreds of genetic risk-factors for #Schizophrenia actually lead to disease? New work medrxiv.org/content/10.110… from @manoliskellis illuminates the #SingleCell landscape of #Brains from patients with #Schizophrenia and their healthy counterparts🔬🧠🧵1/10
Combining single-nuclear RNA-Seq @10xGenomics, barcode #ing, and multi-level cell-state decomposition, first author Brad Ruzicka et al. identify 20 cell types in the prefrontal cortex of 24 patients with #Schizophrenia and 24 controls 2/10 
While most of these #cells have been described before, what's powerful about the approach is that we can now ask: are there specific cell-types that are increased or decreased in numbers in #Schizophrenia patients compared to healthy individuals (great study design) 3/10
Excited to announce my first first-author publication (ever!) from my PhD is now online!!!! Co-first author with the amazing @Rafiqi51. Directed by @ehab_abouheif The Great @AbouheifLab. @BioMcGill @mcgillu @EvoDevoPanAm Want to know more? [A THREAD]
nature.com/articles/s4158… 1/n
nature.com/articles/s4158… 1/n
We sought to understand the origin and elaboration of the #obligate #endosymbiosis between the #bacteria #Blochmannia and the #ant tribe #Camponotini #MajorEvolutionaryTransitions #EcoEvoDevo. @evodevo_papers @the_Node @Dev_Bio_Journal @MyrmecolNews 2/n
Developmental biology textbooks were of no use when the #segmentationhierarchy was #shook with #hoxgenes unleashed and the #fusion of highly conserved gene regulatory networks! #2germlines and an #embryo that gives humpty dumpty a run for his money. #CamponotusFloridanus 3/n
Our new paper is on biorxiv! "Predicting master transcription factors from pan-cancer expression data" biorxiv.org/content/10.110…. 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/
Candidate MTFs tend to be associated with super-enhancers, and many are lineage-specific essential genes - woo CaCTS works! 3/
DNA Sequence Constraints Define Functionally Active Steroid Nuclear Receptor Binding Sites in Chromatin:
1336 Datasets:
Defining NR Functional Enhancers (NRFEs)
#sNRFunctionalNRFE
Enhancer Activation
#IndicatorNRFE
sNR Cross-Talk
#sNRCrossTalkNRFE
doi.org/10.1210/en.201…
1336 Datasets:
Defining NR Functional Enhancers (NRFEs)
#sNRFunctionalNRFE
Enhancer Activation
#IndicatorNRFE
sNR Cross-Talk
#sNRCrossTalkNRFE
doi.org/10.1210/en.201…
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
#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
#Genomics
DNA→RNA→Protein:
📌Genes:
-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
📌Genes:
-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
