Evidence map›Paper›PMID 34594045›Full record

ReviewNature reviews. Nephrology2022

Determining lineage relationships in kidney development and disease.

Melissa H Little, Sara E Howden, Kynan T Lawlor, Jessica M Vanslambrouck

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A Chemically Defined Culture for Tooth Reconstitution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Organs-on-chip technology: a tool to tackle genetic kidney diseases.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  7. Article
  8. 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

4 authors.

Melissa H LittleMurdoch Children's Research Institute, Parkville, VIC, Australia. melissa.little@mcri.edu.au.ORCID http://orcid.org/0000-0003-0380-2263
Sara E HowdenMurdoch Children's Research Institute, Parkville, VIC, Australia.
Kynan T LawlorMurdoch Children's Research Institute, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0003-4080-5439
Jessica M VanslambrouckMurdoch Children's Research Institute, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0003-4420-6230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lineage relationships of cells provide information about the origins of component cell types during development and repair as well as the source of aberrant cells during disease. Genetic approaches to lineage tracing applied in the mouse have revealed much about how the mammalian kidney forms, including the identification of key progenitors for the nephrons and stromal compartments. Inducible Cre systems have also facilitated lineage tracing studies in the postnatal animal that illustrate the changes in cellular fate that can occur during kidney injury. With the advent of single-cell transcriptional profiling and trajectory analyses, predictions of cellular relationships across development are now being made in model systems, such as the mouse, as well as in human fetal kidney. Importantly, these approaches provide predictions of lineage relationships rather than definitive evidence. Although genetic approaches to the study of lineage have not previously been possible in a human setting, the application of CRISPR-Cas9 gene editing of pluripotent stem cells is beginning to teach us about human lineage relationships.

Indexed as

Gene EditingOrganogenesisAnimalsCell LineageKidneyMammalsMiceNephrons

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.