Evidence map›Paper›PMID 31173344›Full record

ArticleJournal of anatomy2019

A mathematical insight into cell labelling experiments for clonal analysis.

Noemi Picco, Simon Hippenmeyer, Julio Rodarte, Carmen Streicher, Zoltán Molnár, Philip K Maini, Thomas E Woolley

Abstract read
In one paragraph

Article in Journal of anatomy, 2019. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Deciphering neural heterogeneity through cell lineage tracing.Cellular and molecular life sciences : CMLS · 2021
    Review
  2. 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

7 authors.

Noemi PiccoDepartment of Mathematics, Swansea University, Swansea, UK.ORCID 0000-0001-5028-2083
Simon HippenmeyerInstitute of Science and Technology Austria, Klosterneuburg, UK.ORCID 0000-0003-2279-1061
Julio RodarteInstitute of Science and Technology Austria, Klosterneuburg, UK.
Carmen StreicherInstitute of Science and Technology Austria, Klosterneuburg, UK.
Zoltán MolnárDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-6852-6004
Philip K MainiMathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-0146-9164
Thomas E WoolleySchool of Mathematics, Cardiff University, Senghennydd Rd, Cardiff, UK.ORCID 0000-0001-6225-5365

Funding

Biotechnology and Biological Sciences Research Council BB/F003285/1European Research Council (ERC) 725780IST Austria institutional fundsMedical Research Council G0700377Medical Research Council G0900901Medical Research Council MC_PC_15102Medical Research Council MR/N026039/1Royal Society and Medical Research Council (UK) MR/N026039/1St John's College Research Centre
6 · The paper itself

Abstract

Studying the progression of the proliferative and differentiative patterns of neural stem cells at the individual cell level is crucial to the understanding of cortex development and how the disruption of such patterns can lead to malformations and neurodevelopmental diseases. However, our understanding of the precise lineage progression programme at single-cell resolution is still incomplete due to the technical variations in lineage-tracing approaches. One of the key challenges involves developing a robust theoretical framework in which we can integrate experimental observations and introduce correction factors to obtain a reliable and representative description of the temporal modulation of proliferation and differentiation. In order to obtain more conclusive insights, we carry out virtual clonal analysis using mathematical modelling and compare our results against experimental data. Using a dataset obtained with Mosaic Analysis with Double Markers, we illustrate how the theoretical description can be exploited to interpret and reconcile the disparity between virtual and experimental results.

Indexed as

Cell LineageClone CellsModels, BiologicalNeurogenesisAnimalsCerebral CortexMicebirth-death stochastic processbranching processesclonal analysiscortical neurogenesisMosaic Analysis with Double Markers

Identifiers

PMID31173344
PMCPMC6704238

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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.