Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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
22 authors.
Patrick van Nierop Y SanchezHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8182-7063
Pallavi Santhi SekharHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0002-2781-1404
Kerem YildirimHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6890-5071
Tim LangeHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0458-5443
Laura Zoe KreplinHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0008-1352-9911
Vigneshwarr Muruga BoopathyHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0005-3364-910X
Stephanie Rosswag de SouzaHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-2111-8553
Kim DammerHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0005-7088-0503
David IbbersonDeep Sequencing Core Facility, BioQuant, Heidelberg University, Heidelberg, Germany.
Qian WangHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0002-9949-492X
Katrin DomschHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-1040-4474
Shubhanshu PandeyHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0001-7540-7337
Petra KasparHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.
Rafael Martinez-GallegosHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.
Xuefan GaoHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-8114-6404
Aakriti SinghHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany.ORCID http://orcid.org/0009-0006-7130-5022
Natalja EngelHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Stem Cell Niche Heterogeneity, Heidelberg, Germany.
Fillip PortGerman Cancer Research Center (DKFZ), Division of Signaling and Functional Genomics and University of Heidelberg, Department of Cell and Molecular Biology, Heidelberg, Germany.
Michael BoutrosGerman Cancer Research Center (DKFZ), Division of Signaling and Functional Genomics and University of Heidelberg, Department of Cell and Molecular Biology, Heidelberg, Germany.
Josephine BageritzHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Stem Cell Niche Heterogeneity, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9531-0452
Ingrid LohmannHeidelberg University, Centre for Organismal Studies (COS) Heidelberg, Department of Developmental Biology and Cell Networks-Cluster of Excellence, Heidelberg, Germany. ingrid.lohmann@cos.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-0918-2758
Funding
Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 1324/A08Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 873/B02
6 · The paper itself
Abstract
Cellular decision-making and tissue homeostasis are governed by transcriptional networks shaped by chromatin accessibility. Using single-nucleus multi-omics, we jointly profile gene expression and chromatin accessibility in 10,335 cells from the Drosophila testis apical tip. This enables inference of 147 cell type-specific enhancer-gene regulons using SCENIC + . We functionally validate key transcription factors, including ovo and klumpfuss, known from other stem cell systems but not previously linked to spermatogenesis. CRISPR-mediated knockout reveals their essential roles in germline stem cell regulation, and we provide evidence that they co-regulate shared targets through overlapping enhancer elements. We further uncover a critical role for canonical Wnt signaling, with Pangolin/Tcf activating lineage-specific targets in the germline, soma, and niche. The Pan eRegulon links Wnt activity to cell adhesion, intercellular signaling and germline stem cell maintenance. Together, our study defines the enhancer-driven regulatory landscape of early spermatogenesis and reveals conserved, combinatorial mechanisms of niche-dependent stem cell control.
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 OpenQuestion graph.
Dissecting the enhancer gene regulatory network in early Drosophila spermatogenesis. · full record | OpenQuestion