Article in Genes & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors.
Jonathan H Sussman *Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.ORCID 0000-0002-3057-3550
Hector W CurePerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Salina YuanPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Kenji ItoPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Irfan A AsanganiPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Benjamin A GarciaPenn Epigenetics Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Ben Z StangerPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; tkatsuda412@gmail.com bstanger@upenn.edu.ORCID 0000-0003-0410-4037
Takeshi Katsuda *Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; tkatsuda412@gmail.com bstanger@upenn.edu.ORCID 0000-0003-3960-033X
Funding
Shared Resources Core 2: Quantitative Proteomics CoreP01CA196539 · NCI · ROCKEFELLER UNIVERSITY · PI YOUNG, MICHAEL WARREN · 2015 to 2024
$17.6M
Mechanisms of bile duct reprogrammingR01DK083355 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GROMPE, MARKUS, STANGER, BEN Z · 2009 to 2020
$4.3M
Quantitative mass spectrometry for comprehending epigenetic mechanisms in a new underlying neurological developmental disorderR01HD106051 · NICHD · WASHINGTON UNIVERSITY · PI Benjamin A Garcia · 2022 to 2026
$2.6M
Modulating heterochromatin to improve beta cell differentiation from stem cellsR01DK125387 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI ZARET, KENNETH · 2020 to 2024
$2.0M
Towards characterization of Epigenetic targets in Prostate CancerR01CA299870 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Irfan Ahmed Asangani · 2025 to 2026
Following prolonged liver injury, a small fraction of hepatocytes undergoes reprogramming to become cholangiocytes or biliary epithelial cells (BECs). This physiological process involves chromatin and transcriptional remodeling, but the epigenetic mediators are largely unknown. Here, we exploited a lineage-traced model of liver injury to investigate the role of histone post-translational modification in biliary reprogramming. Using mass spectrometry, we defined the repertoire of histone marks that are globally altered in quantity during reprogramming. Next, applying an in vivo CRISPR screening approach, we identified seven histone-modifying enzymes that alter the efficiency of hepatobiliary reprogramming. Among these, the histone methyltransferase and demethylase
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 Socratic graph.
In vivo CRISPR screening reveals epigenetic regulators of hepatobiliary plasticity. · full record | Socratic