Evidence map›Paper›PMID 31180500›Full record

ReviewIntegrative and comparative biology2019

Developmental and Evolutionary Allometry of the Mammalian Limb Skeleton.

Kimberly L Cooper

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Challenges of engineering a functional growth plateFrontiers in bioengineering and biotechnology · 2025
    Review
  5. Article
  6. Article
  7. Non-model systems in mammalian forelimb evo-devo.Current opinion in genetics & development · 2021
    Review
  8. Making and shaping endochondral and intramembranous bones.Developmental dynamics : an official publication of the American Association of Anatomists · 2021
    Review
  9. 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

1 author.

Kimberly L CooperDivision of Biological Sciences, University of California San Diego, La Jolla, CA 92093-0377, USA.

Funding

Leveraging comparative genomics to elucidate the genetic determinants of limb skeletal proportionR01AR075415 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COOPER, KIMBERLY LYNN · 2019 to 2023
$1.9M
NIAMS NIH HHS R01 AR075415
6 · The paper itself

Abstract

The variety of limb skeletal proportions enables a remarkable diversity of behaviors that include powered flight in bats and flipper-propelled swimming in whales using extremes of a range of homologous limb architectures. Even within human limbs, bone lengths span more than an order of magnitude from the short finger and toe bones to the long arm and leg bones. Yet all of this diversity arises from embryonic skeletal elements that are each a very similar size at formation. In this review article, I survey what is and is not yet known of the development and evolution of skeletal proportion at multiple hierarchical levels of biological organization. These include the cellular parameters of skeletal elongation in the cartilage growth plate, genes associated with differential growth, and putative gene regulatory mechanisms that would allow both covariant and independent evolution of the forelimbs and hindlimbs and of individual limb segments. Although the genetic mechanisms that shape skeletal proportion are still largely unknown, and most of what is known is limited to mammals, it is becoming increasingly apparent that the diversity of bone lengths is an emergent property of a complex system that controls elongation of individual skeletal elements using a genetic toolkit shared by all.

Indexed as

Biological EvolutionAnimalsForelimbHindlimbMammals

Identifiers

PMID31180500
PMCPMC6863755

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.