Cell Metabolism

Data files for Matlab scripts, Sample images

link between activation of anxiogenic circuits and hypermetabolism

Raw data files for feeding and wheel-running activity (ClockLab feeder files require a file extension *.clfdr at the end of the filename. These files can be viewed as TXT files also.) Raw mouse body weight data & blood glucose levels (Excel files)

A clinical study that measured transcriptomics from biopsies of primary breast cancer taken at paired time points two weeks apart to profile the bioactivity of metformin breast cancer. Next generation sequencing of ‘Poly (A) targeted’ mRNA, including library preparation, was carried out by the Oxford Genomics Centre core facility at the Welcome Trust Centre for Human Genetics. The NEBNext mRNA Library Prep Master Mix Set (New England Biolabs) was used for preparation of the expression libraries and the Illumina HiSeq 2000 system used to carry out the sequencing. Paired-read were aligned to human reference genome GRCh38, including transcriptomic information, by Bowtie 2.2.6 and Tophat v2.1. The fold change of normalized expression level, FPKM (Fragments Per Kilobase of transcript per Million mapped reads), for each gene was then estimated from those aligned reads using Cuffdiff 2.2.1.

This experiment was to assess the impact of dietary macro-nutrient composition on body weight of the mouse. In total we used 30 different diets and 5 different strains of mice. This file contains the individual data of the food intake, body composition and metabolic responses of male C57BL/6 mice to 3 months feeding on one of 12 different diets. Twenty mice were exposed to each diet. The diets had variable fat from 8.3 to 80% and had two levels of protein content (diets 13 to 18 had 10% protein and diets 19 to 24 had 25% protein). Full details of the dietary compositions can be found in the paper supplementary table 1. Complete meta-data are in the meta-data tab of the file. Means for each diet derived from these individual values are presented in Figure 4 of Hu et al (2018) Cell metabolism.

This dataset was generated for the paper, "Genetic analysis reveals AMPK is required to support tumor growth in murine Kras-dependent lung cancer models." Murine Kras mutant, p53 null (KP) 368T1 NSCLC cells were deleted for AMPK using the CRISPR/Cas9 system and subsequently stably infected with control vector ("KO") or AMPKalpha1 cDNA ("A1") add-back. These cells were subjected to no glucose (0mM, "NG") conditions for 12 or 18 hours, and profiled by RNA-sequencing. Replicate 2 High Glucose (HG) and No Glucose (NG) conditions were generated simultaneously and analyzed together. Analysis of a single dataset was performed using Replicate 1 ("R1"), and both replicates ("R1" and "R2") were analyzed together as indicated.

Dataset for CELL-METABOLISM-D-17-00148

This dataset contains data used to present results in the following paper: Remission of human type 2 diabetes requires decrease in liver and pancreas fat content but is dependent upon capacity for beta cell recovery Taylor et al. (2018), Cell Metabolism 28, 1-10. https://doi.org/10.1016/j.cmet.2018.07.003

This experiment was to assess the impact of dietary macro-nutrient composition on body weight of the mouse. In total we used 30 different diets and 5 different strains of mice. This file contains the individual data of the food intake, energy intake and protein/fat intake of 4 mouse strains (BALB/c, C3H, DBA2, FVB) averaged over the entire feeding on one of 12 different diets. Ten mice were exposed to each diet. The diets had variable protein from 5 to 30% and fixed fat content 60% (diets 1 to 6), variable fat from 10 to 80% and fixed protein content at 10% (diets 13 to 18). Full details of the dietary compositions can be found in the paper supplementary table 1. Complete meta-data are in the meta-data tab of the file. Equivalent data for C57BL/6 mice are in supplementary figure 2. Means for each diet derived from these individual values are presented in Figure S3 of Hu et al (2018) Cell metabolism.

Dataset for CELL-METABOLISM-D-17-00148