Evidence map›Paper›PMID 39331707›Full record

ArticleScience advances2024

Combined assembloid modeling and 3D whole-organ mapping captures the microanatomy and function of the human fallopian tube.

Ashleigh J Crawford, André Forjaz, Joanna Bons, Isha Bhorkar, Triya Roy, David Schell, Vasco Queiroga, Kehan Ren, Donald Kramer, Wilson Huang and 9 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
4 · The record

Corrections and comments

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

19 authors.

Ashleigh J CrawfordJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-9048-0113
André ForjazJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0009-0002-5115-2293
Joanna BonsBuck Institute for Research on Aging, Novato, CA 94945, USA.ORCID 0000-0002-1110-4193
Isha BhorkarJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Triya RoyJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
David SchellJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Vasco QueirogaJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0009-0004-7812-0472
Kehan RenJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Donald KramerJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0009-0004-3381-119X
Wilson HuangJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Gabriella C RussoJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Meng-Horng LeeJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.
Pei-Hsun WuJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-7371-2960
Ie-Ming ShihDepartment of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Tian-Li WangDepartment of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-7082-449X
Mark A AtkinsonDepartments of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA.ORCID 0000-0001-8489-4782
Birgit SchillingBuck Institute for Research on Aging, Novato, CA 94945, USA.ORCID 0000-0001-9907-2749
Ashley L KiemenJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-6281-2616
Denis WirtzJohns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-6147-3045

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI RAPHAEL Paul VISCIDI · 2003 to 2026
$53.5M
SPORE in Ovarian CancerP50CA228991 · NCI · JOHNS HOPKINS UNIVERSITY · PI Amanda Nickles Fader · 2018 to 2026
$20.5M
TRANS NETWORK PROJECTSU54CA143868 · NCI · JOHNS HOPKINS UNIVERSITY · PI SEMENZA, GREGG L · 2009 to 2013
$13.7M
Tech Core 2U54CA268083 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz, Laura DeLong Wood · 2022 to 2026
$10.2M
Quantitative Proteomics to Develop Robust Senescence-Related Biomarkers for AgingU01AG060906 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI SCHILLING, BIRGIT · 2018 to 2022
$4.0M
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related PhenotypesU01AG060903 · NIA · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2018 to 2022
$3.1M
Orbitrap Fusion Lumos ETD with FAIMS ProS10OD028654 · OD · BUCK INSTITUTE FOR RESEARCH ON AGING · PI SCHILLING, BIRGIT · 2020 to 2020
$1.1M
Organ Specific ProjectU54AR081774 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI REDDY, SASHANK K, WIRTZ, DENIS · 2022 to 2023
$1.1M
NCI NIH HHS P50 CA098252NCI NIH HHS P50 CA228991NCI NIH HHS U54 CA143868NCI NIH HHS U54 CA268083NIAMS NIH HHS U54 AR081774NIA NIH HHS U01 AG060903NIA NIH HHS U01 AG060906NIH HHS S10 OD028654
6 · The paper itself

Abstract

The fallopian tubes play key roles in processes from pregnancy to ovarian cancer where three-dimensional (3D) cellular and extracellular interactions are important to their pathophysiology. Here, we develop a 3D multicompartment assembloid model of the fallopian tube that molecularly, functionally, and architecturally resembles the organ. Global label-free proteomics, innovative assays capturing physiological functions of the fallopian tube (i.e., oocyte transport), and whole-organ single-cell resolution mapping are used to validate these assembloids through a multifaceted platform with direct comparisons to fallopian tube tissue. These techniques converge at a unique combination of assembloid parameters with the highest similarity to the reference fallopian tube. This work establishes (i) an optimized model of the human fallopian tubes for in vitro studies of their pathophysiology and (ii) an iterative platform for customized 3D in vitro models of human organs that are molecularly, functionally, and microanatomically accurate by combining tunable assembloid and tissue mapping methods.

Indexed as

Fallopian TubesFemaleHumansImaging, Three-DimensionalModels, BiologicalProteomicsSingle-Cell Analysis

Identifiers

PMID39331707
PMCPMC11430475

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.