Evidence map›Paper›PMID 36120556›Full record

ReviewFrontiers in cell and developmental biology2022

Recent advances in the use of CRISPR/Cas for understanding the early development of molecular gaps in glial cells.

Carla Patricia Barragán-Álvarez, José Miguel Flores-Fernandez, Oscar R Hernández-Pérez, Daniela Ávila-Gónzalez, Nestor Fabian Díaz, Eduardo Padilla-Camberos, Octavio Dublan-García, Leobardo Manuel Gómez-Oliván, Nestor Emmanuel Diaz-Martinez

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. CRISPR/Cas9-based nanodelivery systems for precision gene editing in neuroinflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  2. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
  3. Review
  4. 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

9 authors at 5 institutions in 4 countries.

Carla Patricia Barragán-ÁlvarezLaboratorio de Reprogramación Celular y Bioingeniería de Tejidos, Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco, Guadalajara, Mexico.
José Miguel Flores-FernandezDepartamento de Investigación e Innovación, Universidad Tecnológica de Oriental, Oriental, Mexico.
Oscar R Hernández-PérezLaboratorio de Reprogramación Celular y Bioingeniería de Tejidos, Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco, Guadalajara, Mexico.
Daniela Ávila-GónzalezLaboratorio de Reprogramación Celular y Bioingeniería de Tejidos, Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco, Guadalajara, Mexico.
Nestor Fabian DíazDepartamento de Fisiología y Desarrollo Celular, Instituto Nacional de Perinatología, México City, Mexico.
Eduardo Padilla-CamberosLaboratorio de Reprogramación Celular y Bioingeniería de Tejidos, Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco, Guadalajara, Mexico.
Octavio Dublan-GarcíaLaboratorio de Alimentos y Toxicología Ambiental, Facultad de Química, Universidad Autónoma Del Estado de México, Toluca, México.
Leobardo Manuel Gómez-OlivánLaboratorio de Alimentos y Toxicología Ambiental, Facultad de Química, Universidad Autónoma Del Estado de México, Toluca, México.
Nestor Emmanuel Diaz-MartinezLaboratorio de Reprogramación Celular y Bioingeniería de Tejidos, Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco, Guadalajara, Mexico.
Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de JaliscoInstituto Nacional de Perinatología · MXSecretaría de Salud de Jalisco · MXUniversidad Autónoma del Estado de México · MXUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glial cells are non-neuronal elements of the nervous system (NS) and play a central role in its development, maturation, and homeostasis. Glial cell interest has increased, leading to the discovery of novel study fields. The CRISPR/Cas system has been widely employed for NS understanding. Its use to study glial cells gives crucial information about their mechanisms and role in the central nervous system (CNS) and neurodegenerative disorders. Furthermore, the increasingly accelerated discovery of genes associated with the multiple implications of glial cells could be studied and complemented with the novel screening methods of high-content and single-cell screens at the genome-scale as Perturb-Seq, CRISP-seq, and CROPseq. Besides, the emerging methods, GESTALT, and LINNAEUS, employed to generate large-scale cell lineage maps have yielded invaluable information about processes involved in neurogenesis. These advances offer new therapeutic approaches to finding critical unanswered questions about glial cells and their fundamental role in the nervous system. Furthermore, they help to better understanding the significance of glial cells and their role in developmental biology.

Indexed as

CRISPR/Casglial cellsgliogenesis-related geneslarge-scale maps of cell lineagelineage tracingscreening platforms

Identifiers

PMID36120556
PMCPMC9479146
OpenAlexW4294218977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.