Technical articles

Autophagy Signaling Pathways and Selective Autophagy Research

Autophagy is a cellular quality control system that delivers cytoplasmic components, damaged organelles, protein aggregates, or intracellular pathogens to lysosomes for degradation. Its core significance is not simply “increased degradation,” but rather the maintenance of cellular homeostasis through autophagosome formation, lysosomal fusion, substrate degradation, and product recycling. Autophagy is also involved in stress adaptation, metabolic remodeling, immune defense, aging, and disease progression.

 

Keywords: autophagy; autophagic flux; ATG proteins; LC3; p62; Beclin1; mTOR; AMPK; mitophagy; selective autophagy

 

1 Basic Logic of Autophagy Research

1.1 Biological Significance of Autophagy

Autophagy is a dynamic degradation process. It can remove damaged components and recycle metabolites such as amino acids, lipids, and nucleotides under nutrient deprivation or stress conditions. Its function depends on cell type, stress intensity, disease stage, and whether autophagic flux is complete.

(1) Homeostasis maintenance

Basal autophagy clears abnormal proteins, damaged mitochondria, and aged organelles, thereby reducing oxidative stress, protein aggregation, and organelle functional decline.

(2) Stress adaptation

Starvation, hypoxia, energy deficiency, endoplasmic reticulum stress, infection, and drug treatment can all induce autophagy. Under these conditions, autophagy can act as a cytoprotective mechanism, but under persistent stress it may also participate in cell death or therapeutic responses.

(3) Disease association

Autophagy abnormalities are associated with cancer, neurodegenerative diseases, infection and immunity, metabolic diseases, and aging. In tumors, autophagy is stage-dependent: in early stages it may suppress damage accumulation, whereas in advanced tumors it may help tumor cells tolerate hypoxia, nutrient deficiency, and drug pressure.

 

1.2 Autophagy Is Not Defined by a Single Indicator

Autophagy research should not rely only on increased LC3-II or LC3 puncta. Increased LC3-II may result from enhanced autophagosome formation or from impaired lysosomal degradation. To determine whether autophagy is truly enhanced, autophagic flux should be assessed, meaning the complete process from autophagosome formation to lysosomal degradation of substrates.

 

Table 1 Autophagy Process and Key Interpretation Points

 

Stage

Core Event

Representative Molecules

Interpretation Focus

Initiation

Nutrient and energy status sensing; activation of the ULK complex

mTOR, AMPK, ULK1/2, ATG13

mTOR inhibition or AMPK activation often promotes autophagy initiation

Nucleation

Isolation membrane formation and PI3P production

Beclin1, VPS34, ATG14, AMBRA1

The Beclin1/VPS34 complex determines early autophagic membrane nucleation

Elongation and closure

LC3 lipidation and autophagosome formation

ATG5, ATG7, ATG12, ATG16L1, LC3/ATG8

LC3-II indicates autophagosome-related changes but does not equal increased flux

Fusion

Autophagosome-lysosome fusion

LAMP1/2, Rab7, SNAREs

It is necessary to determine whether autophagosomes enter the lysosomal degradation stage

Degradation and recycling

Substrates are degraded by lysosomal enzymes and recycled

p62, NBR1, lysosomal proteases

Decreased p62 often suggests enhanced substrate degradation, but it is also affected by transcriptional regulation

 

 

Figure 1 Schematic diagram of autophagy initiation, autophagosome maturation and mitophagy signaling

 

2 Core Autophagy Signaling Pathways

2.1 mTOR-ULK1 Axis

(1) Mechanistic core

mTORC1 is a major negative regulator of autophagy initiation. Under nutrient-rich conditions, mTORC1 inhibits the ULK1 complex and maintains a low autophagy level. During starvation, energy deficiency, or treatment with mTOR inhibitors, ULK1 is released from inhibition and initiates autophagosome formation.

(2) Experimental indicators

p-mTOR, p-S6K, p-4EBP1, p-ULK1, LC3-II, p62, and changes in autophagic flux are commonly detected.

(3) Result interpretation

Decreased p-mTOR and increased LC3-II may suggest enhanced autophagy initiation, but lysosomal inhibitors such as Bafilomycin A1 or chloroquine should be added to compare whether LC3-II accumulation further increases. Only then can enhanced flux be judged.

 

2.2 AMPK Signaling

(1) Mechanistic core

AMPK is an energy stress sensor. When ATP decreases and AMP/ADP increases, AMPK is activated. It can promote autophagy initiation by inhibiting mTORC1 and directly regulating ULK1. This pathway often links metabolic stress, mitochondrial function, and autophagy regulation.

(2) Experimental indicators

p-AMPK, p-ACC, p-ULK1, p-mTOR, mitochondrial function, ATP level, and LC3/p62 changes are commonly detected.

(3) Result interpretation

AMPK activation does not only indicate enhanced autophagy; it may also reflect a cellular energy crisis. If AMPK activation is accompanied by cell death, marked ATP depletion, or mitochondrial injury, protective autophagy should be distinguished from irreversible damage.

 

2.3 Beclin1-VPS34 Complex

(1) Mechanistic core

Beclin1 forms complexes with VPS34, VPS15, ATG14, UVRAG, and other molecules to promote PI3P production and isolation membrane nucleation. Bcl-2 can bind Beclin1 and inhibit autophagy, indicating crosstalk between autophagy and apoptosis.

(2) Experimental indicators

Beclin1, VPS34, ATG14, PI3P markers, LC3 puncta, and autophagosome formation are commonly detected.

(3) Result interpretation

Increased Beclin1 indicates enhanced potential for autophagic nucleation, but it does not independently prove complete autophagic flux. If Beclin1 increases while p62 accumulates and lysosomal function declines, late-stage autophagy blockade may exist.

 

2.4 ATG Proteins and LC3 Lipidation

(1) Mechanistic core

ATG7, ATG3, and the ATG5-ATG12-ATG16L1 system participate in LC3/ATG8 lipidation, converting LC3-I into LC3-II and localizing it to autophagic membranes. ATG4 is responsible for LC3 precursor processing and delipidation and is an important regulatory node in the LC3 cycle.

(2) Experimental indicators

LC3-I/LC3-II, ATG5, ATG7, ATG4, the ATG12-ATG5 complex, LC3 puncta, and the mRFP-GFP-LC3 reporter system are commonly detected.

(3) Result interpretation

LC3-II and puncta are not specific indicators of autophagic flux. Autophagic flux can only be determined by combining comparisons before and after lysosomal inhibitor treatment, p62 degradation, and dual-fluorescence LC3 reporter systems.

 

Table 2 Core Autophagy Regulatory Molecules and Functional Positioning

 

Molecule/Complex

Functional Positioning

Common Research Use

mTORC1

Inhibits autophagy initiation

Evaluating negative regulation of autophagy by nutrient and growth factor signaling

AMPK

Senses energy stress and promotes autophagy

Linking metabolic stress, drug treatment, and autophagy induction

ULK1 complex

Core complex for autophagy initiation

Determining whether autophagy initiation is activated

Beclin1-VPS34

Isolation membrane nucleation and PI3P production

Evaluating early autophagosome formation

ATG7/ATG5 system

LC3 lipidation and membrane elongation

Evaluating autophagosome formation capacity

ATG4

LC3 processing and delipidation

Studying LC3 cycling and autophagic membrane dynamics

LC3/ATG8

Autophagosome membrane marker

Observing autophagosome formation; flux assessment is still required

p62/SQSTM1

Selective autophagy receptor and substrate

Evaluating substrate degradation and selective autophagy activity

 

3 Selective Autophagy

3.1 Mitophagy

(1) Mechanistic core

Mitophagy removes damaged or depolarized mitochondria. After PINK1 accumulates on the outer membrane of damaged mitochondria, it recruits and activates Parkin, promoting ubiquitination of mitochondrial outer membrane proteins. Subsequently, receptors such as p62, NDP52, and OPTN connect these mitochondria with LC3 and drive their delivery into the autophagic degradation pathway.

(2) Experimental indicators

PINK1, mitochondrial translocation of Parkin, reduction of TOM20 or COX IV, colocalization of LC3 with mitochondria, mitochondrial membrane potential, mt-Keima, and lysosome-dependent degradation are commonly detected.

(3) Result interpretation

A decrease in mitochondrial membrane potential does not equal completion of mitophagy. If PINK1/Parkin is activated but mitochondrial markers are not degraded by lysosomes, mitochondrial recognition may have been initiated but autophagic flux may be blocked.

 

3.2 Aggrephagy

(1) Mechanistic core

Aggrephagy recognizes ubiquitinated protein aggregates through receptors such as p62 and NBR1 and delivers them to autophagosomes. This process is important in neurodegenerative diseases, proteostasis stress, and tumor therapeutic tolerance.

(2) Experimental indicators

p62, ubiquitinated proteins, LC3 colocalization, protein aggregates, proteasome inhibitor-induced stress, and autophagic flux are commonly detected.

(3) Result interpretation

Increased p62 may indicate increased selective autophagy substrate load, but it may also indicate blocked autophagic degradation. p62 mRNA, protein aggregate burden, and changes before and after lysosomal inhibitor treatment should be assessed together.

 

3.3 ER-Phagy and Lipophagy

(1) ER-phagy

ER-phagy clears excess or damaged endoplasmic reticulum and participates in protein folding stress, the unfolded protein response, and cellular homeostasis. ER-phagy receptors such as FAM134B, RTN3, and SEC62, as well as degradation of ER markers, are commonly detected.

(2) Lipophagy

Lipophagy degrades lipid droplets through lysosomes, releasing fatty acids for energy supply or participating in lipid remodeling. Common indicators include lipid droplet staining, colocalization of LC3 with lipid droplets, lysosome-dependent lipid droplet reduction, and lipid metabolism markers.

(3) Result interpretation

ER stress or lipid droplet reduction does not necessarily indicate enhanced selective autophagy. ER-phagy and lipophagy should be verified using specific receptors, LC3 colocalization, and lysosome-dependent degradation.

 

3.4 Xenophagy of Intracellular Pathogens

(1) Mechanistic core

Xenophagy recognizes and clears intracellular bacteria, viral components, or pathogens enclosed by damaged membranes. Molecules such as p62, NDP52, OPTN, and Galectin can participate in pathogen labeling and autophagic delivery.

(2) Experimental indicators

Colocalization of pathogens with LC3, recruitment of p62/NDP52, intracellular pathogen burden, lysosomal fusion, and inflammatory factor changes are commonly detected.

(3) Result interpretation

Reduced pathogen burden may result from autophagic clearance, immune killing, direct drug inhibition, or cell death. ATG knockdown, lysosomal inhibition, and autophagy receptor intervention should be used to validate the contribution of autophagy.

 

Table 3 Types of Selective Autophagy and Research Focuses

 

Type of Selective Autophagy

Main Substrate

Key Molecules

Research Focus

Mitophagy

Damaged mitochondria

PINK1, Parkin, p62, OPTN, NDP52

Mitochondrial quality control, Parkinson’s disease, oxidative stress

Aggrephagy

Ubiquitinated protein aggregates

p62, NBR1, LC3

Proteostasis, neurodegenerative diseases, tumor stress

ER-phagy

ER fragments

FAM134B, RTN3, SEC62

ER stress, protein folding, secretory system homeostasis

Lipophagy

Lipid droplets

LC3, lysosomes, lipid droplet-associated proteins

Lipid metabolism, energy supply, metabolic diseases

Ribophagy

Ribosomes

Selective autophagy receptors, lysosomal system

Translational control and nutrient stress

Xenophagy

Intracellular pathogens

p62, NDP52, OPTN, Galectin

Infection immunity, cellular defense, inflammatory responses

 

4 Autophagic Flux Detection and Result Interpretation

4.1 LC3 and p62 Detection

(1) LC3

Increased LC3-II can reflect increased autophagosome number, but it cannot determine whether autophagy is enhanced or degradation is blocked. LC3 puncta also only indicate an increase in autophagosome-related structures and cannot independently prove enhanced autophagic flux.

(2) p62

p62 is both a selective autophagy receptor and an autophagy substrate. Decreased p62 often suggests enhanced autophagic degradation. Increased p62 may represent increased substrate burden, autophagy blockade, or transcriptional upregulation.

(3) Interpretation focus

LC3-II, LC3 puncta, and p62 must be interpreted together with time-course experiments, lysosomal inhibitors, and functional phenotypes to avoid misinterpreting “autophagosome accumulation” as “enhanced autophagy.”

 

4.2 Comparison Before and After Lysosomal Inhibitor Treatment

(1) Mechanistic core

Bafilomycin A1, chloroquine, hydroxychloroquine, and NH4Cl can block lysosomal acidification or autophagosome degradation. If LC3-II further accumulates after treatment with lysosomal inhibitors, autophagosomes are still being generated and flux may be enhanced. If LC3-II no longer increases, autophagosome formation may be insufficient or flux may already be blocked.

(2) Experimental indicators

LC3-II, p62, LAMP1/2, lysosomal pH, cathepsin activity, and autophagic substrate degradation are commonly detected.

(3) Result interpretation

Chloroquine or Bafilomycin A1 alone artificially causes LC3-II accumulation and should not be interpreted as autophagy induction. Their main use is flux comparison, not direct evidence of “enhanced autophagy.”

 

4.3 Dual-Fluorescence LC3 Reporter System

(1) Mechanistic core

mRFP-GFP-LC3 can distinguish autophagosomes from autolysosomes. GFP is easily quenched in acidic lysosomes, while RFP is relatively stable. Therefore, yellow puncta represent autophagosomes, whereas red puncta more strongly indicate autophagic structures after entry into acidic lysosomes.

(2) Experimental indicators

Yellow puncta, red puncta, colocalization of LC3 with LAMP1, and lysosomal acidification status are commonly quantified.

(3) Result interpretation

Increased red puncta generally better supports entry of autophagosomes into the lysosomal stage. Accumulation of yellow puncta may indicate increased autophagosome formation or impaired fusion. Lysosomal function should be evaluated together.

 

Table 4 Autophagy Detection Indicators and Interpretation Points

 

Detection Method

Main Information

Notes

LC3-I/LC3-II Western blot

LC3 lipidation level associated with autophagosomes

Increased LC3-II does not equal increased flux

LC3 immunofluorescence

Autophagosome puncta

Puncta alone cannot prove enhanced autophagy

p62 detection

Degradation of selective autophagy substrates

p62 is affected by transcriptional regulation and should be combined with flux assessment

Bafilomycin A1/chloroquine comparison

Determines dynamics of autophagosome generation and degradation

Mainly used for flux assessment, not as evidence of autophagy induction

mRFP-GFP-LC3

Distinguishes autophagosomes from autolysosomes

Lysosomal pH and imaging conditions should be considered

Electron microscopy

Observes autophagosome ultrastructure

Strong morphological evidence, but does not directly reflect flux

mt-Keima

Indicates mitochondrial delivery into lysosomes

More suitable for mitophagy flux analysis

 

5 Autophagy Abnormalities and Disease Mechanisms

5.1 Tumors

(1) Mechanistic characteristics

Autophagy has dual roles in tumors. In early stages, autophagy can limit protein aggregation, ROS, and genomic instability. In advanced tumors, tumor cells can use autophagy to cope with hypoxia, nutrient deficiency, chemotherapy pressure, and metabolic remodeling.

(2) Research indicators

LC3-II, p62, Beclin1, mTOR, AMPK, mitochondrial function, drug sensitivity, colony formation, and tumor cell survival are commonly detected.

(3) Result interpretation

Enhanced autophagy does not necessarily mean promotion of cell death; it may also be a protective adaptation. If autophagy inhibition increases tumor cell sensitivity to chemotherapy, autophagy may have a protective role in that model.

 

5.2 Neurodegenerative Diseases

(1) Mechanistic characteristics

Neurons are highly sensitive to protein aggregation, mitochondrial injury, and lysosomal dysfunction. Insufficient autophagy and mitophagy can lead to accumulation of Aβ, Tau, α-synuclein, damaged mitochondria, and oxidative stress.

(2) Research indicators

p62, LC3, PINK1/Parkin, LAMP1/2, protein aggregates, mitochondrial membrane potential, ROS, and neuronal survival are commonly detected.

(3) Result interpretation

In neurodegenerative models, increased LC3-II may reflect compensatory autophagy enhancement or lysosomal degradation failure. p62, lysosomal function, and aggregate protein clearance must be evaluated together.

 

5.3 Infection and Immunity

(1) Mechanistic characteristics

Autophagy participates in intracellular pathogen clearance, antigen presentation, inflammasome regulation, and cytokine responses. Some viruses and bacteria can utilize or block autophagy to favor their own replication.

(2) Research indicators

Pathogen burden, LC3 colocalization, p62/NDP52 recruitment, inflammatory factors, MHC antigen presentation, and results of ATG gene intervention are commonly detected.

(3) Result interpretation

During infection, autophagy may restrict pathogens or may be exploited by pathogens. Its direction should be judged according to pathogen replication and the outcome after autophagy intervention, rather than LC3 changes alone.

 

5.4 Aging and Metabolic Diseases

(1) Mechanistic characteristics

Aging is accompanied by decline in autophagy-lysosome function, accumulation of mitochondrial damage, and weakened proteostasis. In metabolic diseases, autophagy can affect lipid droplet degradation, pancreatic β-cell function, insulin sensitivity, and hepatic lipid metabolism.

(2) Research indicators

AMPK/mTOR, LC3/p62, mitochondrial function, lipid droplets, insulin signaling, inflammation, and senescence markers are commonly detected.

(3) Result interpretation

When metabolic drugs induce autophagy, autophagy-mediated cytoprotection, energy stress responses, and drug toxicity should be distinguished. LC3-II elevation alone cannot determine whether the effect is beneficial or harmful to metabolic homeostasis.

 

6 Autophagy-Targeted Intervention Strategies

6.1 Autophagy-Inducing Strategies

(1) mTOR inhibition

Rapamycin and related compounds promote autophagy initiation by inhibiting mTORC1 and are commonly used to study nutrient sensing, autophagy induction, and mTOR-dependent regulation.

(2) AMPK activation

AICAR, Metformin, and related compounds can promote autophagy through energy stress or AMPK-related mechanisms and are commonly used in metabolic stress, diabetes-related mechanisms, and neuroprotection research.

(3) mTOR-independent induction

Trehalose, Spermidine, and related compounds can promote proteostasis and autophagy-associated processes through different mechanisms and are suitable for protein aggregation and neurodegenerative models.

 

6.2 Autophagy-Inhibiting Strategies

(1) Early-stage inhibition

3-Methyladenine and Wortmannin can inhibit PI3K/VPS34-related processes and reduce autophagosome formation. However, their effects are broad across pathways, so nonspecific effects should be considered during interpretation.

(2) Late-stage inhibition

Chloroquine, Bafilomycin A1, and NH4Cl can block lysosomal acidification or autophagosome degradation and are commonly used for autophagic flux validation and late-stage autophagy blockade research.

(3) Interpretation focus

Early-stage inhibition reduces autophagosome formation, whereas late-stage inhibition causes accumulation of autophagosomes and LC3-II. These two approaches may generate opposite LC3 results, so the action stage must be clearly defined in experimental design.

 

6.3 New Strategies Targeting Selective Autophagy

(1) AUTACs

AUTACs induce target proteins or organelles to be recognized by the autophagy system and promote selective degradation, representing a direction in autophagy-targeting degradation technologies.

(2) ATTECs

ATTECs promote entry of target proteins into the autophagy-lysosome degradation pathway by linking target proteins with autophagy components such as LC3.

(3) Application value

These strategies are suitable for studying protein aggregates, organelle damage, and disease-related targets that are difficult to handle with traditional enzyme inhibitors. However, target selectivity, degradation dependence, and involvement of the lysosomal pathway still require strict validation.

 

Table 5 Autophagy Regulation Strategies and Applicable Scenarios

 

Intervention Direction

Representative Mechanism

Expected Result

Applicable Research

mTOR inhibition

Inhibits mTORC1 and releases ULK1 inhibition

Promotes autophagy initiation

Nutrient sensing, tumor, metabolism, and aging research

AMPK activation

Senses energy stress and promotes ULK1 activation

Induces stress-associated autophagy

Metabolic stress, diabetes, and neuroprotection research

VPS34 inhibition

Blocks PI3P production and autophagy nucleation

Inhibits early autophagy

Validation of autophagosome formation mechanisms

Lysosomal inhibition

Blocks acidification or degradation

Causes autophagosome/LC3-II accumulation

Autophagic flux detection and late-stage blockade

Mitochondrial depolarization

Induces PINK1/Parkin recruitment

Activates mitophagy

Mitochondrial quality control and Parkinson’s disease research

Targeted autophagic degradation

AUTACs, ATTECs

Promotes autophagic degradation of specific targets

Protein aggregation, organelle quality control, and targeted degradation research

 

Table 6 Representative Products Related to Autophagy Research

 

Research Module

Representative Product

CAS No.

Mechanism or Detection Positioning

Applicable Research

mTOR-dependent autophagy induction

Rapamycin

53123-88-9

mTORC1 inhibitor that releases ULK1 inhibition

Autophagy induction, mTOR/ULK1 pathway, and nutrient sensing research

Complete mTOR inhibition research

Torin 1

1222998-36-8

ATP-competitive mTOR inhibitor

mTORC1/2 inhibition, autophagy initiation, and AKT/mTOR feedback research

AMPK-related autophagy induction

AICAR

2627-69-2

AMPK activator

Energy stress, AMPK/ULK1 signaling, and metabolic autophagy research

Metabolic drug-related autophagy

Metformin hydrochloride

1115-70-4

AMPK/mTOR-related regulator

Diabetes-related autophagy, metabolic stress, and tumor metabolism research

mTOR-independent autophagy induction

Trehalose

99-20-7

Promotes proteostasis and autophagy-associated degradation

Protein aggregation, neurodegenerative diseases, and autophagy enhancement research

Autophagy induction/anti-aging research

Spermidine

124-20-9

Polyamine compound associated with autophagy induction

Aging, proteostasis, cytoprotection, and autophagy regulation research

Early-stage autophagy inhibition

3-Methyladenine

5142-23-4

PI3K/VPS34-related inhibitor

Autophagosome formation inhibition, early autophagy validation, and pathway intervention research

PI3K-related autophagy inhibition

Wortmannin

19545-26-7

PI3K inhibitor that suppresses autophagy nucleation

VPS34/PI3P-related autophagy nucleation and signaling validation research

Lysosomal-stage blockade

Chloroquine diphosphate

50-63-5

Lysosomal acidification inhibitor and late-stage autophagy blocker

Autophagic flux detection, LC3-II accumulation, and tumor autophagy inhibition research

Lysosomal acidification blockade

Bafilomycin A1

88899-55-2

V-ATPase inhibitor that blocks lysosomal acidification

Autophagic flux, mRFP-GFP-LC3 interpretation, and late-stage autophagy blockade research

Lysosomal pH regulation

Ammonium chloride

12125-02-9

Weakly basic lysosomal neutralizing agent

Autophagic degradation blockade, lysosomal acidification, and flux validation research

Lysosomal protease inhibition

Pepstatin A

26305-03-3

Aspartyl protease inhibitor

Lysosomal degradation, cathepsin-related degradation, and autophagy substrate accumulation research

Mitophagy induction

CCCP

555-60-2

Mitochondrial depolarizing agent

PINK1/Parkin recruitment, mitophagy, and mitochondrial quality control research

Mitochondrial injury model

Rotenone

83-79-4

Mitochondrial complex I inhibitor

Mitochondrial injury, ROS, Parkinson’s disease models, and mitophagy research

Protein aggregate stress

MG132

133407-82-6

Proteasome inhibitor that induces protein aggregation stress

Aggrephagy, p62-mediated selective autophagy, and proteostasis research

ER stress/ER-phagy research

Thapsigargin

67526-95-8

SERCA inhibitor that induces ER calcium homeostasis disruption

ER stress, ER-phagy, and crosstalk between autophagy and cell death

AKT/PI3K pathway intervention

LY294002

154447-36-6

PI3K inhibitor

PI3K/AKT/mTOR pathway, autophagy regulation, and tumor cell survival research

Oxidative stress-related autophagy

N-Acetyl-L-cysteine

616-91-1

ROS scavenger and GSH precursor

Oxidative stress, source determination of autophagy induction, and mitochondrial injury research

 

Table 7 Product Lines Related to Autophagy and Application Directions

 

Research Direction

Product Line

Covered Object/Target

Applicable Research Direction

Overview of autophagy research

Autophagy

 

Autophagy-related proteins, detection reagents, and regulatory compounds

Autophagosome formation, lysosomal degradation, autophagic flux, and disease mechanism research

Autophagy initiation research

ULK

 

ULK1/2, ATG13, and initiation complex

mTOR/AMPK-ULK1 axis, autophagy initiation, and nutrient stress research

Autophagy nucleation research

Beclin1

 

Beclin1-VPS34 complex-related molecules

Isolation membrane nucleation, PI3P production, autophagy initiation, and apoptosis crosstalk research

LC3 lipidation research

Atg7

 

ATG7 and LC3/ATG8 conjugation system

LC3 lipidation, autophagosome elongation, and ATG-dependent autophagy research

LC3 processing research

Atg4

 

ATG4 family and LC3 processing/delipidation-related molecules

LC3 cycling, autophagic membrane dynamics, and autophagosome maturation research

Autophagosome marker research

Atg8/LC3

 

LC3/GABARAP family

Autophagosome formation, LC3 puncta, autophagic flux, and imaging analysis research

Selective autophagy receptor research

p62

 

p62/SQSTM1 and ubiquitinated substrate recognition

Aggrephagy, protein aggregate clearance, p62 degradation, and selective autophagy research

Mitochondrial quality control research

Mitophagy

 

Mitophagy-related proteins and detection tools

Damaged mitochondrial clearance, oxidative stress, neurodegenerative diseases, and metabolic homeostasis research

PINK1/Parkin pathway research

PINK1/Parkin

 

PINK1, Parkin, and mitochondrial ubiquitination regulation

Parkinson’s disease, mitochondrial depolarization, Parkin translocation, and mitophagy flux research

LRRK2-related research

LRRK2

 

LRRK2 and Parkinson’s disease-related autophagy/lysosomal regulatory molecules

Parkinson’s disease, autophagy-lysosome function, mitochondrial quality control, and neurodegeneration research

Targeted autophagic degradation research

AUTACs

 

Autophagy-targeting chimeric degradation molecules

Autophagic degradation of target proteins/organelles, proteostasis, and selective autophagy technology research

LC3-targeted degradation research

ATTECs

 

LC3-linking targeted autophagy degradation tools

Target protein delivery to autophagy, protein aggregation diseases, and targeted degradation mechanism research

Protein folding and autophagy crosstalk research

FKBP

 

FKBP family, mTOR-related complexes, and protein folding regulation

Rapamycin-FKBP-mTOR, autophagy induction, proteostasis, and drug mechanism research

 

The key to autophagy research is to distinguish whether autophagosome formation, autophagic flux, and lysosomal degradation change synchronously. Only by combining LC3, p62, lysosomal function, comparisons before and after flux inhibitors, and selective substrate degradation can the true role of autophagy in disease models, drug treatment, and cellular stress be accurately determined.

 

References

[1] Mizushima N. Genes Dev. 2007 Nov 15;21(22):2861-2873.

[2] Wesselborg S, et al. Cell Mol Life Sci. 2015 Dec;72(24):4721-4757.

 

For more related articles, please see below:

[1] Ras-Raf-MEK-ERK Signaling

[2] Wnt/β-Catenin Signaling Pathway

[3] How to Map the NF-κB Pathway and Choose Inhibitors: Bringing Inflammatory Transcriptional Output into a “Controllable Range” (Tables A–F)

[4] Metabolic signaling pathway

[5] Wnt Signaling

[6] Hedgehog Signaling

[7] JAK-STAT Cell Signaling Pathway

[8] PD-1/PD-L1 Signaling Pathway

[9] Granzyme A and Granzyme B Signaling Pathways: Cytotoxic Effects and Immune Regulatory Mechanisms

[10] CTLA4 Signaling Pathway: Molecular Basis, Immunoregulatory Mechanisms, and Disease Associations

[11] VEGF Signaling Pathway: Receptor Lineage, Activation Mechanisms, and Biological Effects

[12] Applications of BMP Signaling Pathway Regulators in Stem Cell Differentiation, Organoid Culture and Developmental Research

[13] TNF Signaling Pathway: Receptor Layering Structure, Complex Conversion Mechanisms, and the Inflammation–Death Effector Network

[14] RANK Signaling Pathway: Molecular Components, Activation Mechanisms, and Biological Effects

Categories: Technical articles

Da — when not otherwise indicated, molecular weight units are daltons.   Mw — weight-average molecular weight.   Mn — number-average molecular weight.

Products are supplied for research and development use only. Not for use in humans, animals, diagnosis, or therapy.

Cite this article

Aladdin Scientific. "Autophagy Signaling Pathways and Selective Autophagy Research" Aladdin Knowledge Base, updated Jul 29, 2026. https://www.aladdinsci.com/us_en/faqs/autophagy-signaling-pathways-and-selective-autophagy-research-en.html
Was this article helpful? Yes No 2 out 4 found this helpful

Shall we send you a message when we have discounts available?

Remind me later

Thank you! Please check your email inbox to confirm.

Oops! Notifications are disabled.