Article in Science advances, 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.
Zhe LiuDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0726-2727
Dena EnnisMicrobiology and Molecular Genetics Department, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-0318-6026
Jingjing ZhaoDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Emily BlairDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7482-960X
Abdur Rahim KhanBenioff Center for Microbiome Medicine, Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Mary PrahlDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0091-2731
Stephanie L GawDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0891-6964
Moran YassourMicrobiology and Molecular Genetics Department, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-7344-5188
Valerie J FlahermanDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-3117-927X
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7434-8144
Funding
The Cellular Geography of Therapeutic Resistance in CancerU2CCA233195 · NCI · DANA-FARBER CANCER INST · PI JOHNSON, BRUCE E. · 2018 to 2023
$13.7M
A kinetic framework to map the genetic determinants of alternative RNA isoform expressionR01HG012967 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Barbara Engelhardt, Athma A Pai · 2023 to 2026
$3.0M
Determinants of Early Childhood Immune Responses to SARS-CoV-2 VaccinationR01HD112339 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary Prahl · 2023 to 2026
$2.7M
Placental malaria: The role of inflammation at the maternal-fetal interfaceK08AI141728 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GAW, STEPHANIE LINA · 2019 to 2023
$950k
Transcriptional variation in human milkF32HD114427 · NICHD · J. DAVID GLADSTONE INSTITUTES · PI Sarah Kate Nyquist · 2024 to 2026
$230k
Molecular mechanisms for regulation of volume and nutrient content of human milk and their relationship with infant growthK99HD113880 · NICHD · CORNELL UNIVERSITY · PI GOLAN MAOR, YARDEN · 2024 to 2024
Breastfeeding is essential for reducing infant morbidity and mortality, yet exclusive breastfeeding rates remain low, often because of insufficient milk production. The molecular causes of low milk production are not well understood. Fresh milk samples from 30 lactating individuals, classified by milk production levels across postpartum stages, were analyzed using genomic and microbiome techniques. Bulk RNA sequencing of milk fat globules (MFGs), milk cells, and breast tissue revealed that MFG-derived RNA closely mirrors luminal milk cells. Transcriptomic and single-cell RNA analyses identified changes in gene expression and cellular composition, highlighting key genes (
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.
Genomic characterization of normal and aberrant human milk production. · full record | OpenQuestion