Evidence map›Paper›PMID 38507929›Full record

ReviewBiosensors & bioelectronics2024

Biosensors; a novel concept in real-time detection of autophagy.

Hassan Nasrollahpour, Arezoo Mirzaie, Maryam Sharifi, Aysa Rezabakhsh, Balal Khalilzadeh, Reza Rahbarghazi, Hadi Yousefi, Daniel J Klionsky

Abstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Hassan NasrollahpourStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Arezoo MirzaiePharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Maryam SharifiStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Aysa RezabakhshCardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Balal KhalilzadehStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address: khalilzadehb@tbzmed.ac.ir.
Reza RahbarghaziStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Applied Cellular Sciences, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address: rezarahbardvm@gmail.com.
Hadi YousefiDepartment of Applied Cellular Sciences, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Daniel J KlionskyLife Sciences Institute, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: klionsky@umich.edu.

Funding

The mechanism and regulation of autophagyR35GM131919 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DANIEL J. KLIONSKY · 2019 to 2026
$6.4M
NIGMS NIH HHS R35 GM131919
6 · The paper itself

Abstract

Autophagy is an early-stage response with self-degradation properties against several insulting conditions. To date, the critical role of autophagy has been well-documented in physiological and pathological conditions. This process involves various signaling and functional biomolecules, which are involved in different steps of the autophagic response. During recent decades, a range of biochemical analyses, chemical assays, and varied imaging techniques have been used for monitoring this pathway. Due to the complexity and dynamic aspects of autophagy, the application of the conventional methodology for following autophagic progression is frequently associated with a mistake in discrimination between a complete and incomplete autophagic response. Biosensors provide a de novo platform for precise and accurate analysis of target molecules in different biological settings. It has been suggested that these devices are applicable for real-time monitoring and highly sensitive detection of autophagy effectors. In this review article, we focus on cutting-edge biosensing technologies associated with autophagy detection.

Indexed as

Biosensing TechniquesAutophagyAutophagyBiosensorsReal-time and sensitive detectionTheranostics

Identifiers

PMID38507929
PMCPMC11907300

What OpenQuestion holds

Textmetadata
LicenceTDM
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.