Evidence map›Paper›PMID 39115763›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Bioinformatic Analysis for Identifying Transcription Factors Involved in Protein Secretion and Vacuole Formation.

Fangfang Niu, Chudi Fan, Liwen Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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
–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

0 citing papers in PubMed.

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.

Fangfang NiuSchool of Life Sciences, Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Chudi FanSchool of Life Sciences, Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Liwen JiangCentre for Cell and Developmental Biology, State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein secretion and vacuole formation are vital processes in plant cells, playing crucial roles in various aspects of plant development, growth, and stress responses. Multiple regulators have been uncovered to be involved in these processes. In animal cells, the transcription factor TFEB has been extensively studied and its role in lysosomal biogenesis is well understood. However, the transcription factors governing protein secretion and vacuole formation in plants remain largely unexplored. In recent years, an increasing number of bioinformatics databases and tools have been developed, facilitating computational prediction and analysis of the function of genes or proteins in specific cellular processes. Leveraging these resources, this chapter aims to provide practical guidance on how to effectively utilize these existing databases and tools for the analysis of key transcription factors involved in regulating protein secretion and vacuole formation in plants, with a particular focus on Arabidopsis and other higher plants. The findings from this analysis can serve as a valuable resource for future experimental investigations and the development of targeted strategies to manipulate protein secretion and vacuole formation in plants.

Indexed as

Computational BiologyTranscription FactorsVacuolesArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantPlant ProteinsProtein TransportArabidopsis ProteinsPlant ProteinsTranscription FactorsBioinformaticsProtein secretionTranscription factorVacuole biogenesis

Identifiers

PMID39115763

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.