Summary of Study ST002738
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001703. The data can be accessed directly via it's Project DOI: 10.21228/M8K99P This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST002738 |
| Study Title | Innate immune and metabolic signaling retain damaged mitochondria at cell membranes for mitoxyperilysis |
| Study Summary | Innate immune activation coupled with metabolic disruptions play critical roles in many diseases, often leading to mitochondrial dysfunction and oxidative stress that drive pathogenesis. However, mechanistic regulation under these conditions remains poorly defined. Here, we report a distinct lytic cell death mechanism induced by innate immune signaling and metabolic disruption, independent of caspase activity and previously described pyroptosis, PANoptosis, necroptosis, ferroptosis, and oxeiptosis. Instead, mitochondria undergoing BAX/BAK1/BID-dependent oxidative stress maintained prolonged plasma membrane contact, leading to local oxidative damage, a process we termed mitoxyperiosis. This process then caused membrane lysis and cell death, mitoxyperilysis. mTORC2 regulated the cell death, and mTOR inhibition restored cytoskeletal activity for lamellipodia retractions to mobilize mitochondria away from the membrane, preserving integrity. Activating this pathway in vivo regressed tumors in an mTORC2-dependent manner. Overall, our results identify a lytic cell death modality in response to the synergism of innate immune signaling and metabolic disruption. |
| Institute | St Jude Children's Research Hospital |
| Last Name | Wang |
| First Name | Yaqiu |
| Address | 262 Danny Thomas Pl |
| yaqiu.wang@stjude.org | |
| Phone | 901-595--3477 |
| Submit Date | 2023-06-16 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-11-28 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001703 |
| Project DOI: | doi: 10.21228/M8K99P |
| Project Title: | Innate immune and metabolic signaling retain damaged mitochondria at cell membranes for mitoxyperilysis |
| Project Summary: | Innate immune activation coupled with metabolic disruptions play critical roles in many diseases, often leading to mitochondrial dysfunction and oxidative stress that drive pathogenesis. However, mechanistic regulation under these conditions remains poorly defined. Here, we report a distinct lytic cell death mechanism induced by innate immune signaling and metabolic disruption, independent of caspase activity and previously described pyroptosis, PANoptosis, necroptosis, ferroptosis, and oxeiptosis. Instead, mitochondria undergoing BAX/BAK1/BID-dependent oxidative stress maintained prolonged plasma membrane contact, leading to local oxidative damage, a process we termed mitoxyperiosis. This process then caused membrane lysis and cell death, mitoxyperilysis. mTORC2 regulated the cell death, and mTOR inhibition restored cytoskeletal activity for lamellipodia retractions to mobilize mitochondria away from the membrane, preserving integrity. Activating this pathway in vivo regressed tumors in an mTORC2-dependent manner. Overall, our results identify a lytic cell death modality in response to the synergism of innate immune signaling and metabolic disruption. |
| Institute: | St Jude Children's Research Hospital |
| Last Name: | Wang |
| First Name: | Yaqiu |
| Address: | 262 Danny Thomas Pl, Memphis, Tennessee, 38105, USA |
| Email: | yaqiu.wang@stjude.org |
| Phone: | +1-901-595-3477 |
Subject:
| Subject ID: | SU002845 |
| Subject Type: | Cultured cells |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Species Group: | Mammals |
Factors:
Subject type: Cultured cells; Subject species: Mus musculus (Factor headings shown in green)
| mb_sample_id | local_sample_id | Treatment |
|---|---|---|
| SA288762 | YW_01272023_Metabo_00_Neg | BLANK |
| SA288763 | YW_01272023_Metabo_00_Pos | BLANK |
| SA288764 | YW_01272023_Metabo_10_Neg | CS+LPS_WT |
| SA288765 | YW_01272023_Metabo_11_Neg | CS+LPS_WT |
| SA288766 | YW_01272023_Metabo_10_Pos | CS+LPS_WT |
| SA288767 | YW_01272023_Metabo_11_Pos | CS+LPS_WT |
| SA288768 | YW_01272023_Metabo_12_Pos | CS+LPS_WT |
| SA288769 | YW_01272023_Metabo_12_Neg | CS+LPS_WT |
| SA288770 | YW_01272023_Metabo_07_Neg | CS_WT |
| SA288771 | YW_01272023_Metabo_08_Neg | CS_WT |
| SA288772 | YW_01272023_Metabo_09_Neg | CS_WT |
| SA288773 | YW_01272023_Metabo_07_Pos | CS_WT |
| SA288774 | YW_01272023_Metabo_09_Pos | CS_WT |
| SA288775 | YW_01272023_Metabo_08_Pos | CS_WT |
| SA288776 | YW_01272023_Metabo_06_Pos | LPS_WT |
| SA288777 | YW_01272023_Metabo_06_Neg | LPS_WT |
| SA288778 | YW_01272023_Metabo_04_Neg | LPS_WT |
| SA288779 | YW_01272023_Metabo_04_Pos | LPS_WT |
| SA288780 | YW_01272023_Metabo_05_Neg | LPS_WT |
| SA288781 | YW_01272023_Metabo_05_Pos | LPS_WT |
| SA288782 | YW_01272023_Metabo_01_Pos | Media_WT |
| SA288783 | YW_01272023_Metabo_01_Neg | Media_WT |
| SA288784 | YW_01272023_Metabo_02_Neg | Media_WT |
| SA288785 | YW_01272023_Metabo_03_Pos | Media_WT |
| SA288786 | YW_01272023_Metabo_03_Neg | Media_WT |
| SA288787 | YW_01272023_Metabo_02_Pos | Media_WT |
| Showing results 1 to 26 of 26 |
Collection:
| Collection ID: | CO002838 |
| Collection Summary: | Ten million BMDMs were stimulated as indicated in 100 mm plates for 9 h. The medium was removed by aspiration, and the cells were washed once with ice-cold saline. Next, the cells were carefully harvested using a plastic scraper in 1.5 ml ice-cold saline. The cells were centrifuged at 150 × g for 2 min at room temperature, and the cell pellets were flash-frozen in liquid nitrogen and then stored at −80°C for a later extraction of metabolites. |
| Sample Type: | Cultured cells |
| Storage Conditions: | -80℃ |
Treatment:
| Treatment ID: | TR002854 |
| Treatment Summary: | Treatment of cells were done as indicated in the study design table. Four types of treatment were used in WT cells. "Media_WT", "LPS_WT", "CS_WT", "CS+LPS_WT" denote the WT cells receiving Media, LPS(lipopolysaccharide), CS(starvation) and CS+LPS treatment, respectively. |
Sample Preparation:
| Sampleprep ID: | SP002851 |
| Sampleprep Summary: | Extraction of hydrophilic metabolites To extract the molecules with different polarity, an adapted three-phase solvent system was utilized to obtain total hydrophilic metabolites and lipids78. Briefly, the cell pellets were resuspended with 150 µL of saline, then 1.2 mL of chloroform/methanol/water (3:4:1, v/v/v) was added and homogenized using a Bead Ruptor Elite (OMNI international) for 30 s at 8 m/s. The homogenate was allowed to rest at 4ºC for 30 s and then centrifuged for 10 min at 21,000 g at 4ºC. After centrifugation, the upper aqueous phase was transferred into a new tube, frozen on dry ice, and then lyophilized. The dried extracts containing hydrophilic metabolites were dissolved using 40 µL of water: acetonitrile (95:5, v/v) supplemented with 10 mM ammonium acetate, then transferred into autosampler vials, and 4 µL per injection was analyzed by LC-MS. |
Combined analysis:
| Analysis ID | AN004440 | AN004441 |
|---|---|---|
| Chromatography ID | CH003336 | CH003336 |
| MS ID | MS004187 | MS004188 |
| Analysis type | MS | MS |
| Chromatography type | HILIC | HILIC |
| Chromatography system | Thermo Vanquish | Thermo Vanquish |
| Column | Waters XBridge BEH Amide (150 x 2.1mm, 2.5um) | Waters XBridge BEH Amide (150 x 2.1mm, 2.5um) |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Exactive Plus Orbitrap | Thermo Exactive Plus Orbitrap |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | area | area |
Chromatography:
| Chromatography ID: | CH003336 |
| Chromatography Summary: | A Vanquish Horizon UHPLC (Thermo Fisher Scientific) was used for the LC separations, using stepped gradient conditions as follows: 0–16.5 min, 1 to 50% B; 16.5–18 min, 50 to 99% B; 18–36 min, 99% B; 36–39 min, 99 to 1% B; 39–45 min, 1% B. Mobile phase A was water supplemented with 10 mM ammonium acetate. Mobile phase B was acetonitrile. The column used was an xBride BEH Amide Column (2.1 mm x 150 mm, 2.5 μm) (Waters Corp.), operated at 40°C. The flow rate was 100 μL/min, and the injection volume was 4 μL. The collected positive and negative mode data were analyzed separately. |
| Instrument Name: | Thermo Vanquish |
| Column Name: | Waters XBridge BEH Amide (150 x 2.1mm, 2.5um) |
| Column Temperature: | 40 |
| Flow Gradient: | 0–16.5 min, 1 to 50% B; 16.5–18 min, 50 to 99% B; 18–36 min, 99% B; 36–39 min, 99 to 1% B; 39–45 min, 1% B. |
| Flow Rate: | 100 μL/min |
| Solvent A: | water supplemented with 10 mM ammonium acetate |
| Solvent B: | acetonitrile |
| Chromatography Type: | HILIC |
MS:
| MS ID: | MS004187 |
| Analysis ID: | AN004440 |
| Instrument Name: | Thermo Exactive Plus Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | A Thermo Fisher Scientific Q Exactive hybrid quadrupole-Orbitrap mass spectrometer (QE-MS) (Thermo Fisher Scientific) equipped with a HESI-II probe was employed as the detector. For each sample, two chromatographic runs were carried out subsequently, acquiring separately data for negative and positive ions. The QE-MS was operated using a data-dependent LC-MS/MS method (Top10 dd-MS2) for both, positive and negative ion modes. The mass spec was operated at a resolution of 140,000 (FWHM, at m/z 200), AGC targeted of 3 × 106, Max injection time 100 msec. The instrument’s operating conditions were: scan range 60–900 m/z, sheath gas flow 20, aux gas flow 5, sweep gas 1, spray voltage 3.6 kV for positive mode and 2.5 kV for negative mode, capillary temperature 320ºC, S-lenses RF level 55, aux gas heater 320ºC. For the Top10 dd-MS2 conditions a resolution of 35,000 was used, AGC targeted of 1 × 105, max injection time 100 msec, MS2 isolation width 1.0 m/z, NCE 35. The collected data from negative and positive mode were analyzed separately in Compound Discoverer 3.3 (CD3.3) (Thermo Fisher Scientific). A pre-defined workflow from the software was employed: Untargeted Metabolomics with statistics, Detect Unknowns with ID using online databases and mzLogic. The spectra alignment node used the first sample as the reference file. The compound detection option was set for a signal-to-noise ratio ≥ 1.5, min peak intensity 1 × 106, parent ion mass tolerance of ±5 ppm, RT tolerance of 0.25 min, and preferred fragments data selection M+H, M-H. The data was normalized by the constant mean algorithm. The metabolites identifications and pathway analysis nodes used the default features in this metabolomics workflow. |
| Ion Mode: | POSITIVE |
| MS ID: | MS004188 |
| Analysis ID: | AN004441 |
| Instrument Name: | Thermo Exactive Plus Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | A Thermo Fisher Scientific Q Exactive hybrid quadrupole-Orbitrap mass spectrometer (QE-MS) (Thermo Fisher Scientific) equipped with a HESI-II probe was employed as the detector. For each sample, two chromatographic runs were carried out subsequently, acquiring separately data for negative and positive ions. The QE-MS was operated using a data-dependent LC-MS/MS method (Top10 dd-MS2) for both, positive and negative ion modes. The mass spec was operated at a resolution of 140,000 (FWHM, at m/z 200), AGC targeted of 3 × 106, Max injection time 100 msec. The instrument’s operating conditions were: scan range 60–900 m/z, sheath gas flow 20, aux gas flow 5, sweep gas 1, spray voltage 3.6 kV for positive mode and 2.5 kV for negative mode, capillary temperature 320ºC, S-lenses RF level 55, aux gas heater 320ºC. For the Top10 dd-MS2 conditions a resolution of 35,000 was used, AGC targeted of 1 × 105, max injection time 100 msec, MS2 isolation width 1.0 m/z, NCE 35. The collected data from negative and positive mode were analyzed separately in Compound Discoverer 3.3 (CD3.3) (Thermo Fisher Scientific). A pre-defined workflow from the software was employed: Untargeted Metabolomics with statistics, Detect Unknowns with ID using online databases and mzLogic. The spectra alignment node used the first sample as the reference file. The compound detection option was set for a signal-to-noise ratio ≥ 1.5, min peak intensity 1 × 106, parent ion mass tolerance of ±5 ppm, RT tolerance of 0.25 min, and preferred fragments data selection M+H, M-H. The data was normalized by the constant mean algorithm. The metabolites identifications and pathway analysis nodes used the default features in this metabolomics workflow. |
| Ion Mode: | NEGATIVE |