Summary of Study ST003639

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 PR002250. The data can be accessed directly via it's Project DOI: 10.21228/M8SJ9Z This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST003639
Study TitleMultilevel Plasticity and Altered Glycosylation Drive Aggressiveness in Hypoxic and Glucose-Deprived Bladder Cancer Cells
Study TypeMS quantitative analysis
Study SummaryBladder tumours with aggressive characteristics often present microenvironmental niches marked by low oxygen levels (hypoxia) and limited glucose supply due to inadequate vascularization. The molecular mechanisms facilitating cellular adaptation to these stimuli remain largely elusive. Employing a multi-omics approach, we discovered that hypoxic and glucose-deprived cancer cells enter a quiescent state supported by mitophagy, fatty acid β-oxidation, and amino acid catabolism, concurrently enhancing their invasive capabilities. Reoxygenation and glucose restoration efficiently reversed cell quiescence without affecting cellular viability, highlighting significant molecular plasticity in adapting to microenvironmental challenges. Furthermore, cancer cells exhibited substantial perturbation of protein O-glycosylation, leading to simplified glycophenotypes with shorter glycosidic chains. Exploiting glycoengineered cell models, we established that immature glycosylation contributes to reduced cell proliferation and increased invasion. Our findings collectively indicate that hypoxia and glucose deprivation trigger cancer aggressiveness, reflecting an adaptive escape mechanism underpinned by altered metabolism and protein glycosylation, providing grounds for clinical intervention.
Institute
Portuguese Oncology Institute of Porto (IPO-Porto)
DepartmentIPO Porto Research Center
LaboratoryLab 2
Last NamePeixoto
First NameAndreia
AddressRua Dr. António Bernardino de Almeida
Emailandreia.peixoto@ipoporto.min-saude.pt
Phone225084000 (ext:5111)
Submit Date2024-12-18
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2025-01-20
Release Version1
Andreia Peixoto Andreia Peixoto
https://dx.doi.org/10.21228/M8SJ9Z
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR002250
Project DOI:doi: 10.21228/M8SJ9Z
Project Title:Multilevel Plasticity and Altered Glycosylation Drive Aggressiveness in Hypoxic and Glucose-Deprived Bladder Cancer Cells
Project Type:Multilevel Plasticity and Altered Glycosylation Drive Aggressiveness in Hypoxic and Glucose-Deprived Bladder Cancer Cells
Project Summary:Bladder tumours with aggressive characteristics often present microenvironmental niches marked by low oxygen levels (hypoxia) and limited glucose supply due to inadequate vascularization. The molecular mechanisms facilitating cellular adaptation to these stimuli remain largely elusive. Employing a multi-omics approach, we discovered that hypoxic and glucose-deprived cancer cells enter a quiescent state supported by mitophagy, fatty acid β-oxidation, and amino acid catabolism, concurrently enhancing their invasive capabilities. Reoxygenation and glucose restoration efficiently reversed cell quiescence without affecting cellular viability, highlighting significant molecular plasticity in adapting to microenvironmental challenges. Furthermore, cancer cells exhibited substantial perturbation of protein O-glycosylation, leading to simplified glycophenotypes with shorter glycosidic chains. Exploiting glycoengineered cell models, we established that immature glycosylation contributes to reduced cell proliferation and increased invasion. Our findings collectively indicate that hypoxia and glucose deprivation trigger cancer aggressiveness, reflecting an adaptive escape mechanism underpinned by altered metabolism and protein glycosylation, providing grounds for clinical intervention.
Institute:Portuguese Oncology Institute of Porto (IPO-Porto)
Department:IPO Porto Research Center
Laboratory:Lab 2
Last Name:Peixoto
First Name:Andreia
Address:Rua Dr. António Bernardino de Almeida
Email:andreia.peixoto@ipoporto.min-saude.pt
Phone:225084000
Funding Source:The authors acknowledge FCT/MCTES funding within the projects RESOLVE (PTDC/MED-OUT/2512/2021) and REVERENT (2022.03621.PTDC; DOI 10.54499/2022.03621.PTDC) and funding for the IPO research center (PEst-OE/SAU/UI0776/201, CI-IPOP-29-2016-2022, CI-IPOP-58-2016-2022), for CQUM (UID/QUI/00686/2020), and the LAQV research unit (UIDB/50006/2020 | UIDP/50006/2020).
Contributors:Andreia Peixoto, Dylan Ferreira, Andreia Miranda, Marta Relvas-Santos, Rui Freitas, Tim S. Veth, Andreia Brandão, Eduardo Ferreira, Paula Paulo, Marta Cardoso, Cristiana Gaiteiro, Sofia Cotton, Janine Soares, Luís Lima, Filipe Teixeira, Rita Ferreira, Carlos Palmeira, Albert J. R. Heck, Maria José Oliveira, André M. N. Silva, Lúcio Lara Santos, José Alexandre Ferreira

Subject:

Subject ID:SU003769
Subject Type:Cultured cells
Subject Species:Homo sapiens
Taxonomy ID:9606

Factors:

Subject type: Cultured cells; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Sample source Treatment
SA3940275637_H15637 cells Hypoxia plus glucose restriction
SA3940285637_H25637 cells Hypoxia plus glucose restriction
SA3940295637_H35637 cells Hypoxia plus glucose restriction
SA3940305637_N15637 cells Normoxia
SA3940315637_N25637 cells Normoxia
SA3940325637_N35637 cells Normoxia
SA394033T24_H1T24 cells Hypoxia plus glucose restriction
SA394034T24_H2T24 cells Hypoxia plus glucose restriction
SA394035T24_H3T24 cells Hypoxia plus glucose restriction
SA394036T24_N1T24 cells Normoxia
SA394037T24_N2T24 cells Normoxia
SA394038T24_N3T24 cells Normoxia
Showing results 1 to 12 of 12

Collection:

Collection ID:CO003762
Collection Summary:Human BLCA cell lines were purchased from American Type Culture Collection (ATCC). Cells were maintained with complete RPMI 1640 GlutaMAX™ medium (Gibco) supplemented with 10% FBS (Gibco, 10500-064). Cells were kept at 37 °C in a 5% CO2 humidified atmosphere (Normoxia). Cells were also grown for 24h under hypoxia and nutrient deprivation (Hypoxia -Glc) at 37 °C in a 5% CO2, 99.9% N2 and 0.1% O2 atmosphere, using a BINDER C-150 incubator (BINDER GmbH), and complete RPMI 1640 without glucose (Gibco). For re-oxygenation experiments, cells under oxygen and glucose deprivation were restored to standard culture conditions 24 h prior to analysis. Cells were detached with Trypsin-EDTA (Gibco) and dispersed in 80% methanol (Merck, 34860-1L-R), sonicated for 30 min at 4 °C and kept at -20 °C for 1 h. Samples were then centrifuged, and the supernatant was analysed by UHPLC-ESI-MS/MS in positive and negative mode.
Sample Type:Cultured cells
Storage Conditions:-20℃

Treatment:

Treatment ID:TR003778
Treatment Summary:Human BLCA cell lines 5637 (white male patient, HTB-9™) and T24 (white female patient, HTB-4™) were were maintained with complete RPMI 1640 GlutaMAX™ medium (Gibco) supplemented with 10% FBS (Gibco, 10500-064). Cells were kept at 37 °C in a 5% CO2 humidified atmosphere (Normoxia). Cells were also grown for 24h under hypoxia and nutrient deprivation (Hypoxia -Glc) at 37 °C in a 5% CO2, 99.9% N2 and 0.1% O2 atmosphere, using a BINDER C-150 incubator (BINDER GmbH), and complete RPMI 1640 (Gibco).

Sample Preparation:

Sampleprep ID:SP003776
Sampleprep Summary:Cells were dispersed in 80% methanol (Merck, 34860-1L-R), sonicated for 30 min at 4 °C and kept at -20 °C for 1 h. Samples were then centrifuged, and the supernatant was analysed by UHPLC-ESI-MS/MS in positive and negative mode.
Processing Storage Conditions:On ice
Extract Storage:-20℃

Combined analysis:

Analysis ID AN005976 AN005977
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Thermo Dionex Ultimate 3000 Thermo Dionex Ultimate 3000
Column Waters Acquity UPLC HSS T3 (150 x 2.1mm,1.8um) Waters Acquity UPLC HSS T3 (150 x 2.1mm,1.8um)
MS Type ESI ESI
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Q Exactive Orbitrap Thermo Q Exactive Orbitrap
Ion Mode POSITIVE NEGATIVE
Units AUC AUC

Chromatography:

Chromatography ID:CH004539
Methods Filename:Chromatography Methods.txt
Chromatography Comments:column Acquity UPLC HSS T3; 100 Å, 1.8 μm, 2.1 mm × 150 mm
Instrument Name:Thermo Dionex Ultimate 3000
Column Name:Waters Acquity UPLC HSS T3 (150 x 2.1mm,1.8um)
Column Temperature:40 °C
Flow Gradient:0-1.5 min, 95-70% A; 1.5-9.5 min, 70-5% A; 9.5-14.5 min, 5% A; 14.5-14.6 min, 5-95% A; 14.6-18.0 min, 95% A
Flow Rate:0.3 mL/min
Solvent A:100% water; 0.1% formic acid
Solvent B:100% acetonitrile
Chromatography Type:Reversed phase

MS:

MS ID:MS005689
Analysis ID:AN005976
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Metabolites were identified by retention time and corresponding MS/MS spectra. For metabolomics data pre-processing and analysis, raw data matrices were blank subtracted (a mean blank value was calculated per metabolite) and normalised to the number of cells for each condition. The resulting matrices were then imported to Metaboanalyst 4.0 and log-transformed to reduce heteroscedasticity and Pareto-scaled to adjust for differences in fold changes between metabolites.
Ion Mode:POSITIVE
  
MS ID:MS005690
Analysis ID:AN005977
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Metabolites were identified by retention time and corresponding MS/MS spectra. For metabolomics data pre-processing and analysis, raw data matrices were blank subtracted (a mean blank value was calculated per metabolite) and normalised to the number of cells for each condition. The resulting matrices were then imported to Metaboanalyst 4.0 and log-transformed to reduce heteroscedasticity and Pareto-scaled to adjust for differences in fold changes between metabolites.
Ion Mode:NEGATIVE
  logo