In one paragraphArticle in Science immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
6 authors.
Boyoung ShinDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0001-7926-5527 Samantha J ChangDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0009-0002-4185-3440 Brendan W MacNabbDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-1827-0247 Tom SidwellDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-1578-1762 Brian A WilliamsDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-3253-611X Ellen V RothenbergDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-3901-347X Funding
System dynamics and gene network architecture of early T-cell developmentR01HD100039 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2019 to 2026
$4.1MFUNCTIONAL GENOMICS AND MECHANISM OF BCL11B ACTION IN LYMPHOCYTE COMMITMENTR01AI135200 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2018 to 2022
$3.2MLmo2-Lyl1 and the bHLH factor network in pro-T cellsR01AI151704 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2021 to 2025
$3.0MPROBING CONTROL OF DEVELOPMENTAL EPIGENETIC CHANGE USING RUNX FACTORSR37AI178114 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2024 to 2026
$2.3MThe molecular mechanisms underlying context-specific Runx factor functions in directing hematopoietic cell identityR00HL173688 · NHLBI · EMORY UNIVERSITY · PI Boyoung Shin · 2025 to 2026
$498kDissecting the transcription factor networks controlling fetal T-lineage differentiationF32AI181504 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Brendan William MacNabb · 2024 to 2026
$229kThe molecular mechanisms underlying context-specific Runx factor functions in directing hematopoietic cell identityK99HL173688 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI SHIN, BOYOUNG · 2024 to 2025
$191kNHLBI NIH HHS K99 HL173688NHLBI NIH HHS R00 HL173688NIAID NIH HHS F32 AI181504NIAID NIH HHS R01 AI135200NIAID NIH HHS R01 AI151704NIAID NIH HHS R37 AI178114NICHD NIH HHS R01 HD100039
6 · The paper itselfAbstract
To access the earliest stages of murine T cell development, we adapted a serum-free expansion system for hematopoietic stem and progenitor-like cells. These cells undergo normal T cell differentiation in vivo and in vitro, verified by gene expression trajectories from single-cell RNA sequencing. Their absolute differentiation speed is slower than that of fresh progenitors but is modulated with Flt3L priming. Leveraging this system, the earliest T cell lineage-initiating events in response to Notch signaling included chromatin opening and transcriptional activation of the TCR-Cβ locus. Acute CRISPR knockouts revealed that some transcription factors normally inherited from bone marrow progenitors impede early T cell development, with differing effects on proliferation. Among 23 factors tested,
Indexed as
Adaptor Proteins, Signal TransducingHematopoietic Stem CellsLIM Domain ProteinsMembrane ProteinsProto-Oncogene ProteinsT-LymphocytesAnimalsCell Differentiationfms-Like Tyrosine Kinase 3MiceMice, Inbred C57BLMice, KnockoutAdaptor Proteins, Signal TransducingFlt3 protein, mousefms-Like Tyrosine Kinase 3LIM Domain ProteinsLmo2 protein, mouseMembrane ProteinsProto-Oncogene Proteins
Identifiers
PMID41824555
PMCPMC13053064
What OpenQuestion holds
Textmetadata
LicenceTDM
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