Summary of Study ST004493

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 PR002830. The data can be accessed directly via it's Project DOI: 10.21228/M8VG27 This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST004493
Study TitleComparative Untargeted Metabolomics of TIGAR-Knockout and Control HT29 CL.16E Cells
Study SummaryMetabolic profiling of wild-type and TIGAR-knockout HT-29 Cl.16E cells (200,000 cells per sample; n = 3 biological replicates per group), cultured in sodium bicarbonate–free DMEM supplemented with 10% dialyzed FBS, 2 mM L-glutamine, and 5 mM glucose, revealed a dramatic accumulation of 6-phosphogluconate (6-PG) in TIGAR-deficient cells, as identified using the mzVault metabolite library. These findings highlight a critical role for TIGAR in regulating flux through the pentose phosphate pathway in differentiated colonic epithelial cells.
Institute
Southwest Hospital, Third Military Medical University
DepartmentClinical Medical Research Center
LaboratoryClinical Medical Research Center
Last NameSu
First NameSen
AddressGaotanyan Street, Shapingba District, Chongqing, China
Email1441suse@163.com
Phone+8615023351789
Submit Date2025-12-12
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2026-01-02
Release Version1
Sen Su Sen Su
https://dx.doi.org/10.21228/M8VG27
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002830
Project DOI:doi: 10.21228/M8VG27
Project Title:TIGAR Regulates Intestinal Mucus Barrier Integrity by Inhibiting Lactylation of G6PD/6PGD in Ulcerative Colitis
Project Summary:Oxidative stress and metabolic dysregulation in goblet cells represent significant contributors to the pathogenesis of ulcerative colitis (UC). TIGAR (TP53-induced glycolysis and apoptosis regulator) plays a critical role as a metabolic regulatory enzyme by promoting NADPH synthesis, thereby counteracting oxidative stress. However, the precise mechanisms through which TIGAR regulates NADPH synthesis and its impact on UC remain incompletely understood. Here, we demonstrate that TIGAR inhibits the lactylation of glucose-6-phosphate dehydrogenase (G6PD) and 6-phosphogluconate dehydrogenase (6PGD), both pivotal enzymes in the NADPH biosynthesis pathway, hence preserving their enzymatic activities. We further identify specific lactylation sites at lysine 432 (K432) in G6PD and lysine 38 (K38) in 6PGD. Lactylation modifications impact the formation of G6PD homodimers and the binding of 6PGD with NADP+. In male UC mice, persistently low TIGAR expression results in elevated lactic acid levels, which enhance the lactylation of G6PD and 6PGD, inhibit NADPH synthesis, and exacerbate oxidative stress in goblet cells. Consequently, these alterations lead to a reduction in thioredoxin 1 (Trx1) reductase activity, inducing S-nitrosylation of anterior gradient homolog 2 (AGR2), a key enzyme involved in MUC2 modification, thus impeding mature MUC2 production and compromising the integrity of the intestinal mucus barrier. Overall, our study elucidates the critical mechanisms by which TIGAR regulates NADPH synthesis, provides novel insights into how TIGAR maintains cellular redox homeostasis, and offers experimental evidence for considering TIGAR as a potential target for UC therapy.
Institute:Southwest Hospital, Third Military Medical University
Department:Clinical Medical Research Center
Laboratory:Clinical Medical Research Center
Last Name:Su
First Name:Sen
Address:Gaotanyan Street 30, Shapingba District, Chongqing, Chongqing, 400038, China
Email:1441suse@163.com
Phone:0086015023551789

Subject:

Subject ID:SU004670
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 Genotype Sample source
SA534319KO-1TIGAR-knockout HT29 CL.16E cells
SA534320KO-2TIGAR-knockout HT29 CL.16E cells
SA534321KO-3TIGAR-knockout HT29 CL.16E cells
SA534322C-1Wild-type HT29 CL.16E cells
SA534323C-2Wild-type HT29 CL.16E cells
SA534324C-3Wild-type HT29 CL.16E cells
Showing results 1 to 6 of 6

Collection:

Collection ID:CO004663
Collection Summary:Sodium butyrate was employed to induce differentiation of the human colon adenocarcinoma cell line HT-29 (ATCC HTB-38) into mature, mucus-secreting goblet-like cells, yielding the stable subline HT-29 Cl.16E. Cells were initially treated with 5 mM sodium butyrate for 9 days, followed by serial passaging and maintenance in butyrate-containing medium for an additional 14 days. The resulting HT-29 Cl.16E cells exhibited hallmark features of goblet cell differentiation, including robust mucus production, and were routinely cultured at 37°C in a humidified 5% CO₂ atmosphere in DMEM supplemented with 10% FBS, 100 U/mL penicillin/streptomycin, and 1 mM sodium pyruvate. Using CRISPR/Cas9 technology, we established a stable TIGAR-knockout (sgTIGAR) derivative of this differentiated line. For functional assays, 2 × 10⁶ cells per sample (wild-type or sgTIGAR HT-29 Cl.16E; n = 3 biological replicates per group) were seeded in 6-cm plates and cultured in sodium bicarbonate–free DMEM supplemented with 10% dialyzed FBS, 2 mM L-glutamine, and 5 mM glucose. Samples were harvested 24 hours post-treatment.
Collection Protocol Filename:collection_protocol1202.txt
Sample Type:Tumor cells

Treatment:

Treatment ID:TR004679
Treatment Summary:No treatment

Sample Preparation:

Sampleprep ID:SP004676
Sampleprep Summary:For cellular samples, 1 mL of pre-chilled (at -80°C) 80% (v/v) methanol of MS grade was added to the culture dish, and cell debris was scraped off using a spatula. The cells were disrupted using a low-temperature ultrasonic disrupter for 60 seconds at -20°C, followed by a pause of 30 seconds, with this cycle repeated three times. The resulting homogenates from cells were transferred and incubated at -20°C for 60 minutes. Subsequently, samples were centrifuged at 18,410 x g for 10 minutes at 4°C. The supernatant was collected after centrifugation, dried under a nitrogen gas, reconstituted, and centrifuged again to obtain the supernatant for subsequent analysis. A 20 μL aliquot from each sample was combined to prepare a quality control (QC) mixture for mass spectrometry analyses.

Combined analysis:

Analysis ID AN007535
Chromatography ID CH005717
MS ID MS007232
Analysis type MS
Chromatography type HILIC
Chromatography system Thermo Vanquish
Column Waters ACQUITY UPLC BEH Amide (150 x 2.1 mm, 1.7 μm)
MS Type ESI
MS instrument type Orbitrap
MS instrument name Thermo Orbitrap Exploris 120
Ion Mode NEGATIVE
Units peak area

Chromatography:

Chromatography ID:CH005717
Methods Filename:Chromatography_methods1202.txt
Instrument Name:Thermo Vanquish
Column Name:Waters ACQUITY UPLC BEH Amide (150 x 2.1 mm, 1.7 μm)
Column Temperature:45°C
Flow Gradient:0-0.1 min: 99% B; 0.1-6 min: 99% B-30% B; 6-6.5 min: 30% B-99% B; 6.5-10 min: 99% B
Flow Rate:0.4 mL/min
Solvent A:5% ACN/95% water, 10 mM ammonium bicarbonate, pH 9
Solvent B:95% ACN/95% water, 10 mM ammonium bicarbonate, pH 9
Chromatography Type:HILIC

MS:

MS ID:MS007232
Analysis ID:AN007535
Instrument Name:Thermo Orbitrap Exploris 120
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:The MS parameters for detection were: ESI source voltage 3.0 kV in negative ion scanning mode with scan range of m/z 70-1050 for mass spectrometry scanning, full scanning resolution of 120000, and MS2 scanning resolution of 60000, the top four precursor ions were broken up with the higher energy collisional dissociation cell in MS2 set to 30% normalized collision energy. the sheath gas was set at 60 arbitrary units, the auxiliary gas was set at 20 arbitrary units, and the blow air flow rate of 2Arb; the ion transport tube was set to 380 ° C; the vaporizer temperature of the ion source was set to 350 ° C. Software tools Xcalibur 4.3 (Thermo Fisher Scientific) and Compound Discover 3.3 (Thermo Fisher Scientific) were used for data processing and analyzing. Retention time alignment across all samples was achieved using the ChromeAlign node, with a pooled quality control (QC) sample serving as the reference. The pooled QC sample was prepared by combining equal aliquots from all biological samples. It was injected repeatedly—once every 10 analytical runs—to monitor instrument stability, enable batch effect correction, and support data normalization. Putative metabolite features were detected and grouped across all samples using the following key parameters (all other settings remained at default values): minimum peak intensity threshold of 1 × 10⁵ (area under the curve); mass tolerance of 5 ppm; retention time tolerance of 0.25 min; ionization modes limited to [M – H]⁻; and peak rating filter set to 4. Missing values were imputed using the built-in “Fill Gap” function, configured with a mass tolerance of 5 ppm and a signal-to-noise ratio threshold of 1.5. Metabolite identification was carried out through a tiered annotation strategy. Matching of both accurate mass (±5 ppm) and retention time (±0.5 min) to an in-house spectral library generated from authentic commercial standards, or spectral matching against the mzCloud database (https://www.mzcloud.org/) and mzVault database using MS/MS fragmentation data, with precursor and fragment mass tolerances of 10 ppm and a minimum match factor of 50.
Ion Mode:NEGATIVE
Analysis Protocol File:MS_analysis_methods1202.txt
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