Zeitlinger Lab
@zeitlingerlab.bsky.social
Our long-term research goal is to understand and predict gene regulation based on DNA sequence information and genome-wide experimental data.
The new updates for Charles McAnany’s preprint “Positional Interpretation of Cis-Regulatory Code and Nucleosome Organization with Deep Learning Models” (www.biorxiv.org/content/10.1...) are up! We introduce PISA, a tool to visualize the cis-regulatory code. See a recap below:
biorxiv.org
The @zeitlingerlab.bsky.social is pleased to announce @sergio-gma91.bsky.social’s preprint “High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivo” (www.biorxiv.org/content/10.6...). TLDR; TFIID behaves differently depending on promoter type. More below:
High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivo
TFIID is instrumental in recognizing promoter sequences and initiating transcription, yet a cohesive understanding of how this complex interacts with and functions at different promoter types in vivo ...
biorxiv.org
We are pleased to announce a new preprint by @mlweilert.bsky.social: “Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCs” (www.biorxiv.org/content/10.1...). See summary and longer recap below: (TLDR; low-affinity motifs matter as pioneers!)
Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCs
Low-affinity transcription factor (TF) motifs are an important element of the cis-regulatory code, yet they are notoriously difficult to map and mechanistically incompletely understood, limiting our a...
biorxiv.org
Excited to join Bluesky! Looking forward to seeing the cool research everyone posts!