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Loss of LUC7L2 and U1 snRNP subunits shifts energy metabolism from glycolysis to OXPHOS.

Molecular cell · 2021 · Vol. 81 (9) · pp. 1905-1919.e12

Abstract

Oxidative phosphorylation (OXPHOS) and glycolysis are the two major pathways for ATP production. The reliance on each varies across tissues and cell states, and can influence susceptibility to disease. At present, the full set of molecular mechanisms governing the relative expression and balance of these two pathways is unknown. Here, we focus on genes whose loss leads to an increase in OXPHOS activity. Unexpectedly, this class of genes is enriched for components of the pre-mRNA splicing machinery, in particular for subunits of the U1 snRNP. Among them, we show that LUC7L2 represses OXPHOS and promotes glycolysis by multiple mechanisms, including (1) splicing of the glycolytic enzyme PFKM to suppress glycogen synthesis, (2) splicing of the cystine/glutamate antiporter SLC7A11 (xCT) to suppress glutamate oxidation, and (3) secondary repression of mitochondrial respiratory supercomplex formation. Our results connect LUC7L2 expression and, more generally, the U1 snRNP to cellular energy metabolism.

Publication Types

["Journal Article", "Research Support, N.I.H., Extramural", "Research Support, Non-U.S. Gov't"]

Keywords

MeSH Terms

["Amino Acid Transport System y+", "Electron Transport Chain Complex Proteins", "Gene Expression Regulation", "Genome-Wide Association Study", "Glutamic Acid", "Glycogen", "Glycolysis", "HEK293 Cells", "HeLa Cells", "Humans", "K562 Cells", "Mitochondria", "Oxidation-Reduction", "Oxidative Phosphorylation", "Phosphofructokinase-1, Muscle Type", "RNA Precursors", "RNA Splicing", "RNA, Messenger", "RNA-Binding Proteins", "Ribonucleoprotein, U1 Small Nuclear"]

Funding

R01 HG004659 NHGRI NIH HHS (United States)
U41 HG009889 NHGRI NIH HHS (United States)
Howard Hughes Medical Institute (United States)
T32 GM007287 NIGMS NIH HHS (United States)
R35 GM122455 NIGMS NIH HHS (United States)
F32 GM133047 NIGMS NIH HHS (United States)
R01 GM085319 NIGMS NIH HHS (United States)

Linked Datasets (1)

GSE157917 GSE via ncbi_elink
GEO

Loss of LUC7L2 and U1 snRNP subunits shifts energy metabolism from glycolysis to OXPHOS

Homo sapiens
52 data files
FileTypeSize
02_K562_LUC7L2_WT_Glu.bam RNA-Seq 1.1 GB
02_K562_LUC7L2_WT_Glu.bam RNA-Seq 1.1 GB
03_K562_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
03_K562_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
04_HeLa_LUC7L2_WT_Glu_B.bam RNA-Seq 2.5 GB
04_HeLa_LUC7L2_WT_Glu_B.bam RNA-Seq 2.5 GB
04_K562_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
04_K562_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
04_K562_LUC7L2_WT_Glu_B.bam RNA-Seq 1.7 GB
04_K562_LUC7L2_WT_Glu_B.bam RNA-Seq 1.7 GB
05_K562_LUC7L2_WT_GAL.bam RNA-Seq 958.6 MB
05_K562_LUC7L2_WT_GAL.bam RNA-Seq 958.6 MB
06_K562_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
06_K562_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
07_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.1 GB
07_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.1 GB
08_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.3 GB
08_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.3 GB
09_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.3 GB
09_K562_LUC7L2_KO_Glu.bam RNA-Seq 1.3 GB
10_HeLa_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
10_HeLa_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
12_HeLa_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
12_HeLa_LUC7L2_WT_Glu.bam RNA-Seq 1.2 GB
13_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
13_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.2 GB
14_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.1 GB
14_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.1 GB
15_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.1 GB
15_HeLa_LUC7L2_WT_GAL.bam RNA-Seq 1.1 GB
16_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.1 GB
16_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.1 GB
17_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.4 GB
17_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.4 GB
18_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.2 GB
18_HeLa_LUC7L2_KO_Glu.bam RNA-Seq 1.2 GB
LUC7L2_HeLa_CLIP1_S6_L008_R1_001.fastq.gz RIP-Seq 651.8 MB
LUC7L2_HeLa_CLIP1_S6_L008_R1_001.fastq.gz RIP-Seq 651.8 MB
LUC7L2_HeLa_CLIP2_S8_L008_R1_001.fastq.gz RIP-Seq 611.5 MB
LUC7L2_HeLa_CLIP2_S8_L008_R1_001.fastq.gz RIP-Seq 611.5 MB
LUC7L2_HeLa_INPUT1_S5_L008_R1_001.fastq.gz RIP-Seq 340.7 MB
LUC7L2_HeLa_INPUT1_S5_L008_R1_001.fastq.gz RIP-Seq 340.7 MB
LUC7L2_HeLa_INPUT2_S7_L008_R1_001.fastq.gz RIP-Seq 245.2 MB
LUC7L2_HeLa_INPUT2_S7_L008_R1_001.fastq.gz RIP-Seq 245.2 MB
LUC7L2_K562_CLIP1_S2_L008_R1_001.fastq.gz RIP-Seq 560.1 MB
LUC7L2_K562_CLIP1_S2_L008_R1_001.fastq.gz RIP-Seq 560.1 MB
LUC7L2_K562_CLIP2_S4_L008_R1_001.fastq.gz RIP-Seq 813.1 MB
LUC7L2_K562_CLIP2_S4_L008_R1_001.fastq.gz RIP-Seq 813.1 MB
LUC7L2_K562_INPUT1_S1_L008_R1_001.fastq.gz RIP-Seq 260.6 MB
LUC7L2_K562_INPUT1_S1_L008_R1_001.fastq.gz RIP-Seq 260.6 MB
LUC7L2_K562_INPUT2_S3_L008_R1_001.fastq.gz RIP-Seq 244.6 MB
LUC7L2_K562_INPUT2_S3_L008_R1_001.fastq.gz RIP-Seq 244.6 MB

Potentially Related Datasets (2)

These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.

GSM854403 GSM GEO
PXD021917 PXD PRIDE

Analysis Pipelines (1)

eCLIP geo_data_processing GSE157917