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Record W4388219678 · doi:10.1101/2023.11.02.565243

Fine-tuning of Fgf8 morphogen gradient by heparan sulfate proteoglycans in the extracellular matrix

2023· preprint· en· W4388219678 on OpenAlexaff
Mansi Gupta, Thomas Kurth, Fabian Heinemann, Petra Schwille, Sebastian Keil, Franziska Knopf, Michael Brand

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsInnovation Cluster (Canada)
FundersTechnische Universität DresdenDeutsche Forschungsgemeinschaft
KeywordsMorphogenFGF8Extracellular matrixCell biologyFibroblast growth factorExtracellularBiologyFluorescence recovery after photobleachingBiophysicsChemistryReceptorBiochemistryMembrane

Abstract

fetched live from OpenAlex

Abstract Embryonic development is orchestrated by the action of morphogens, which spread out from a local source and activate, in a field of target cells, different cellular programs based on their concentration gradient. Fibroblast growth factor 8 (Fgf8) is a morphogen with important functions in embryonic organizing centers. It forms a gradient in the extracellular space by free diffusion, interaction with the extracellular matrix (ECM) and receptor-mediated endocytosis. However, morphogen gradient regulation by ECM is still poorly understood. Here we show that specific Heparan Sulfate Proteoglycans (HSPGs) bind Fgf8 directly in the ECM of living zebrafish embryos, thus affecting its diffusion and signaling. Using single-molecule Fluorescence Correlation Spectroscopy, we quantify this binding in vivo , and find two different modes of interaction. First, reducing or increasing the concentration of specific HSPGs in the extracellular space alters Fgf8 diffusion, and thus, its gradient shape. Second, ternary complex formation of Fgf8 ligand with Fgf-receptors and HSPGs at the cell surface requires HSPG attachment to the cell membrane. Together, our results show that graded Fgf8 morphogen distribution is achieved by constraining free Fgf8 diffusion through successive interactions with HSPGs at the cell surface and in ECM space. Statement of significance Fgf8 is a secreted morphogen signaling molecule that instrúcts neighboring arrays of undifferentiated cells about their position and cellular identity in tissue. Fgf8 and other morphogens are often distributed in a graded fashion, and can typically work at very low concentrations. To reproducibly generate information in developing tissue, mechanisms have evolved to carefully control distribution and concentration of Fgf8 morphogen. We show that freely diffusing Fgf8 morphogen moves through interstitial cell spaces on its way to target cells, and while doing so, interacts with ECM molecules in these spaces and at cell surfaces via low affinity, reversible binding. These interactions are important tuning mechanisms that contribute to forming the Fgf8 morphogen gradient and to cell surface receptor binding, and thus, to controlling cell type identity. Abstract Figure Graphical abstract To generate a gradient, the morphogen Fgf8 shuttles between fast free diffusion through extracellular space (i), slow diffusion or immobility (ii, iii) when bound to Heparan Sulfate Proteoglycans (HSPGs), in the extracellular matrix (ECM) and at cell surface receptors (iv), as revealed by single molecule studies in living zebrafish embryos.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.257
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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