Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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
11 authors.
You Chen *Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
Sagar R Shah *Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-4869-4104
Alden K LeungWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA.
Mauricio I ParamoDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-9518-1881
Caralyn GonzalesDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA.ORCID 0009-0009-9453-5818
Kelly CochranDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5481-2344
Austin WangDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Anshul KundajeDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Andrew G ClarkDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA. ac347@cornell.edu.ORCID 0000-0001-7159-8511
John T LisDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA. johnlis@cornell.edu.
Haiyuan YuWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA. haiyuan.yu@cornell.edu.ORCID 0000-0001-7597-6049
Funding
GENCODE: comprehensive reference genome annotation for human and mouseU24HG007234 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Fergal James Martin · 2021 to 2026
$16.1M
Structure, Function, and Dynamics of Macro-molecular Complexes that Execute and Regulate Genome FunctionRM1GM139738 · NIGMS · CORNELL UNIVERSITY · PI Thomas George Wade Graham, Steven Zvi Josefowicz · 2021 to 2026
$14.4M
High-throughput functional characterization of human enhancersUM1HG009393 · NHGRI · CORNELL UNIVERSITY · PI LIS, JOHN T, YU, HAIYUAN · 2017 to 2021
$4.1M
Genome-wide identification and characterization of Alzheimer's Disease-associated enhancersR01AG077899 · NIA · CORNELL UNIVERSITY · PI Li Gan, JOHN T LIS · 2022 to 2026
$4.0M
Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory codeU01HG012069 · NHGRI · STANFORD UNIVERSITY · PI Anshul Kundaje · 2021 to 2026
$3.9M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Integrated high-throughput functional assays to identify ulcerative colitis causal risk variantsR01DK115398 · NIDDK · CORNELL UNIVERSITY · PI KLEIN, ROBERT J., YU, HAIYUAN · 2018 to 2022
$3.3M
Functional Architecture and Interplay of Transcription Regulatory Elements of the Human GenomeR01HG012970 · NHGRI · CORNELL UNIVERSITY · PI JOHN T LIS, Haiyuan Yu · 2023 to 2026
$2.7M
NHGRI NIH HHS R01 HG012970NHGRI NIH HHS U01 HG009431NHGRI NIH HHS U01 HG012069NHGRI NIH HHS U24 HG007234NHGRI NIH HHS UM1 HG009393NIA NIH HHS R01 AG077899NIDDK NIH HHS R01 DK115398NIGMS NIH HHS RM1 GM139738U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 AG077899U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 DK115398U.S. Department of Health & Human Services | National Institutes of Health (NIH) RM1 5RM1GM139738U.S. Department of Health & Human Services | National Institutes of Health (NIH) UM1 HG009393
6 · The paper itself
Abstract
Divergent transcription is a critical marker of active transcriptional regulatory elements (TREs), including enhancers and promoters, in mammals. However, distal elements with unidirectional transcriptional patterns are often overlooked, leaving their identity and function poorly understood. Here, we perform a systematic comparison between divergent and unidirectional elements, revealing their distinct architectural and functional features. Our analysis also shows that unidirectional elements have younger sequence ages and are under weaker evolutionary constraints than divergent elements, suggesting that they may represent a unique category of genomic regulatory function with more recent origins. Furthermore, we investigate factors involved in transcriptional directionality at TREs, with CTCF and ZNF143 showing dual, position-dependent roles in transcriptional modulation. Overall, the elucidation of directionality enhances our understanding of the diverse architectural models, functional features, evolutionary dynamics, and regulatory logic of TREs.
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.
Directionality of transcriptional regulatory elements. · full record | OpenQuestion