Evidence map›Paper›PMID 37882990›Full record

ArticleCurrent protocols2023

Spatial Single Cell Analysis of Proteins in 2D Human Gastruloids Using Iterative Immunofluorescence.

Emily Freeburne, Seth Teague, Hina Khan, Bolin Li, Siyuan Ding, Bohan Chen, Adam Helms, Idse Heemskerk

Abstract read
In one paragraph

Article in Current protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Emily FreeburneDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan.
Seth TeagueDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Hina KhanDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan.
Bolin LiDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan.
Siyuan DingDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.
Bohan ChenDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.
Adam HelmsDivision of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan.
Idse HeemskerkDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan.

Funding

Multifunctional morphogens: patterning precision and mesoderm migrationR35GM138346 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEEMSKERK, IDSE JOANNES · 2020 to 2025
$4.3M
Cellular Biotechnology Training Program (CBTP) - Years 31-35T32GM145304 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Guizhi Zhu · 2022 to 2026
$2.6M
A systems approach toward human primordial germ cell differentiationR01HD120309 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Idse Joannes Heemskerk · 2026 to 2026
$391k
NICHD NIH HHS R01 HD120309NIGMS NIH HHS R35 GM138346NIGMS NIH HHS R35GM138346NIGMS NIH HHS T32 GM145304
6 · The paper itself

Abstract

During development, cell signaling instructs tissue patterning, the process by which initially identical cells give rise to spatially organized structures consisting of different cell types. How multiple signals combinatorially instruct fate in space and time remains poorly understood. Simultaneous measurement of signaling activity through multiple signaling pathways and of the cell fates they control is critical to addressing this problem. Here we describe an iterative immunofluorescence protocol and computational pipeline to interrogate pattern formation in a 2D model of human gastrulation with far greater multiplexing than is possible with standard immunofluorescence techniques. This protocol and computational pipeline together enable imaging followed by spatial and co-localization analysis of over 27 proteins in the same gastruloids. We demonstrate this by clustering single cell protein expression, using techniques familiar from scRNA-seq, and linking this to spatial position to calculate spatial distributions and cell signaling activity of different cell types. These methods are not limited to patterning in 2D gastruloids and can be easily extended to other contexts. In addition to the iterative immunofluorescence protocol and analysis pipeline, Support Protocols for 2D gastruloid differentiation and producing micropatterned multi-well slides are included. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Iterative immunofluorescence Basic Protocol 2: Computational analysis pipeline Support Protocol 1: Generating micropatterned multi-well slides Support Protocol 2: Differentiation of 2D gastruloids.

Indexed as

GastrulationSingle-Cell AnalysisCell DifferentiationCluster AnalysisFluorescent Antibody TechniqueHumansgastruloiditerative immunofluorescencemicropatternpluripotent stem cellsspatial analysis

Identifiers

PMID37882990
PMCPMC11132115

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Registered trials

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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.