Evidence map›Paper›PMID 35800096›Full record

ArticleBio-protocol2022

Isolation of tdTomato Expressing Inter-follicular Epidermal Melanocytes or Keratinocytes from Mouse Tail Skin.

Samuel Pop, Oscar Urtatiz, Catherine D Van Raamsdonk

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 61% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Samuel PopDepartment of Medical Genetics, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver B.C., V6T 1Z3, Canada.
Oscar UrtatizDepartment of Medical Genetics, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver B.C., V6T 1Z3, Canada.
Catherine D Van RaamsdonkDepartment of Medical Genetics, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver B.C., V6T 1Z3, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidermis is the outermost layer of the skin. It is made up of mostly keratinocytes along with a small number of melanocytes and Langerhans cells. Melanocytes produce a pigment called melanin, which is transferred to the keratinocytes, and protects these cells from damage from UV radiation, as well as generating hair and skin colours. In this important relationship, keratinocytes exert control over melanocytes. Many questions regarding keratinocyte-melanocyte interactions have yet to be answered, and would benefit from study in model systems, to address diseases such as vitiligo and cutaneous melanoma. Most of the mouse is covered in fur and these areas lack the skin pigmenting inter-follicular epidermal (IFE) melanocytes. However, the mouse tail is pigmented analogously to human skin. Here, we present a method for isolating IFE melanocytes or keratinocytes expressing the tdTomato marker from the mouse tail, using fluorescence-activated cell sorting (FACS). The method involves firstly separating the tail skin epidermis from the dermis, and then digesting the epidermis to produce dissociated cells, which can then be sorted. These isolated cell populations can be studied using RNAseq or cultured

Indexed as

DermisEpidermisFACSInter-follicular epidermisK14-creKeratinocytesMelanocytesMitf-creMouse tailSkintdTomato

Identifiers

PMID35800096
PMCPMC9081482
OpenAlexW4225547994

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.