EMBO/soda-nel huggingface dataset:
Coordination of MAPK and p53 dynamics in the cellular responses to DNA damage and oxidative stress (2022)
Figure 6

Figure 6. p38 activity regulates both JNK and p53 activity

A-C) Measuring mean p53-fluorescent p53 levels in individual cells in response to 300 µM H2O2 with or without ERKi (A), JNKi (B), or p38i (C). Control cells shown in red and inhibitor treated cells in grey. Bar graphs show integrated levels of fluorescent p53 over the 24-hour time course. Error bars±SEM. Statistics performed using 2-tailed t-test. Number of analyzed cells, n, is shown for each condition.

D) Mean JNK activity as measured by C/N ratio (bold line)±SD (shaded area) in response to 300 µM H2O2 with or without p38 inhibition (grey). Bar graph shows integrated JNK activity (C/N ratio) over 24-hours. Data represents mean±SD. The number of analyzed cells, n, is shown for each condition. Statistics performed using 2-tailed t-test.

E) Schematic highlighting the cross-talk between JNK, p38, and p53 in response to oxidative stress and the observed roles in cell fate determination.

Data information: ** p<0.01, *** p<0.001, ns=not significant.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 1

Figure 1. TBC1D14 interacts with the TRAPP complex. A) GST pulldown used to analyse TBC1D14 interactors. Recombinant GST or GST-TBC1D14 was incubated with or without HEK 293A lysate. Bound proteins were eluted from the beads using Laemmli sample buffer and subjected to SDS-PAGE, with visible bands being excised from the gel and analysed by mass spectrometry. B) Lysates of HEK293A cells expressing either GFP or GFP-TBC1D14 were subjected to immunoprecipitation (IP) with GFP-Trap, and then immunoblotted for GFP, TRAPPC12 and TRAPPC4. C) Lysates of cells expressing GFP or GFP-TRAPPC3 were subjected to IP with GFP-Trap, and then immunoblotted for TRAPPC4, GFP and TBC1D14. D) Cells expressing GFP-TBC1D14, generating a tubulated endosomal compartment, were fed Alexa647 labelled Transferrin (white, blue in merge) for 15 minutes in full medium, fixed, stained for endogenous TRAPPC4 (red) and analysed by confocal microscopy. White arrowheads indicate transfected cells, yellow arrowheads depict regions of colocalisation in inset. Scale bars = 10 μm. E) Cells treated as in D were stained for endogenous TRAPPC12 (red) and analysed by confocal microscopy. Scale bars = 10 μm F) Cells in complete medium were fixed, stained for endogenous TBC1D14 (green), RAB1B (red) and TRAPPC4 (white, blue in merge) and analysed by confocal microscopy. Inset shows protein localisation in juxtanuclear area. Yellow arrowheads show regions of colocalisation Scale bars = 10 μm. Data shown are representative from 3 independent experiments.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 2

Figure 2. A subset of GFP-TBC1D14 induced tubules harbour RAB1. A) HEK293A cells transfected with GFP (upper panels) or GFP-TBC1D14 (lower panels) (green) were labelled with anti-RAB11A (red) and anti-RAB1B (white, blue in merge) antibodies. Arrows depict transfected cells. Inset: GFP-TBC1D14 transfected cell showing triple co-localisation between GFP-TBC1D14, RAB11A and RAB1B (white arrows) and double co-localisation between GFP-TBC1D14 and RAB11A (yellow arrows). B) Co-localisation of GFP-TBC1D14, TRAPPC4 (red) and RAB11A (white, blue in merge). White arrowheads indicate regions of triple co-localisation. C) Co-localisation of GFP-TBC1D14, TRAPPC4 (red) and RAB1B (white, blue in merge). White arrowheads indicate regions of triple co-localisation, yellow arrowheads regions of double co-localisation between GFP-TBC1D14 and TRAPPC4. All scale bars = 20 μm. D) Model for recruitment of RAB1 to tubulated RE. RAB11-GTP recruits TBC1D14 to the ERC membrane, and TBC1D14 in turn recruits TRAPP. TRAPP acts as a GEF to recruit RAB1 aberrantly to ERC membranes.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 3

Figure 3. TBC1D14 binds the TRAPP complex via a 103 amino acid N-terminal region. A) Schematic diagram of full length TBC1D14, indicating the C-terminal TBC domain (shaded), and truncation mutants used in subsequent analyses. B) HEK 293A cell lysates (from approximately 8 × 106 cells per construct) expressing the indicated GFP fusions were subjected to IP and immunoblotting for GFP, TRAPPC12 and TRAPPC4. Data are representative of 3 independent experiments.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 4

Figure 4. Expression of the TRAPP binding region of TBC1D14 impairs Golgi function. A) Cells expressing the indicated GFP-fusions (green) were loaded with Alexa647-Transferrin (red; arrowheads indicate transfected cells) for 15 minutes, fixed and the morphology of the transferrin positive recycling endosomes analysed by confocal microscopy. Scale bars = 10 μm. Arrows in inset indicate the juxtanuclear ERC B) Cells transfected as in (A) were loaded with Alexa-647 transferrin for 15 minutes and the fluorescent transferrin chased out for the indicated time periods. At the end of the timecourse the cells were fixed and the transferrin content of GFP positive cells analysed by flow cytometry. Results are expressed as a percentage of Tfn fluorescence at t=0 and are the mean of 3 independent experiments, ± s.e.m. C) Cells transfected as in (A) were stained for the cis-Golgi marker GM130. Arrowheads depict transfected cells. Scale bars = 10 μm. Bar chart is quantification of fragmented Golgi complex (> 100 cells per condition from three independent experiments, ± s.e.m. ** p < 0.01, one way ANOVA with Sidak’s post-test). D) HeLa C1 cells transfected with CFP or CFP-TBR were treated with D/D solubiliser (Clontech) or D/D solubiliser plus 2.5 μg/ml Brefeldin A (BFA) for the indicated time periods, trypsinised, fixed and their GFP content analysed by flow cytometry. Results are expressed as a percentage of GFP levels at t=0, and the mean of 3 independent experiments ± s.e.m.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 5

Figure 5: TBR expression inhibits autophagy at an early stage. A) HEK293A cells expressing GFP, GFP-TBC1D14 224-669 or GFP-TBR were treated in duplicate with EBSS, EBSS plus 100 nM BafA1 or not for two hours, lysed and subjected to immunoblotting for LC3B, tubulin and GFP. The amount of LC3B/tubulin for each condition from three independent experiments is shown on the bar graph, ±s.e.m. * p<0.05, ** p<0.01, one way ANOVA with Sidak’s multiple comparison test. B) HEK293A GFP-LC3B (2GL9) cells were transfected with mCherry or mCherry-TBR, treated with EBSS for two hours, fixed and analysed by confocal microscopy. C) HEK293A cells were treated as in (B), fixed, stained for WIPI2 and analysed by confocal microscopy. D) HEK293A cells stably expressing GFP-DFCP1 were treated as in (B), fixed and analysed by confocal microscopy. Scale bars = 20 μm. For quantification of (B), (C) and (D), 10 fields of view containing transfected cells were imaged for each of three experiments, and the number of GFP-LC3B, WIPI2 or GFP-DFCP1 puncta per cell enumerated using Imaris software (Bitplane). Error bars ±s.e.m., * p<0.05, *** p<0.001, one way ANOVA with Sidak’s multiple comparison test.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 6

Figure 6. TRAPPC8 is required for TBC1D14 to bind the TRAPP complex. A) Overview of BioID technique used to determine TRAPP subunit most proximal to TBC1D14. D = denaturing contitions, ND = non-denaturing conditions B) Samples prepared according to (A) (8 × 107 HEK293A cells per transfection) were lysed in TNTE, split equally and denatured with 1% SDS (D) or not (ND) and subjected to 1 hour streptavidin resin pulldown at room temperature. The bound proteins were eluted in 2x Laemmli sample buffer plus 3 mM Biotin and immunoblotted for the indicated proteins. C) siRNA transfected control cells (RISC Free) or TRAPPC8 knockdown (TRAPPC8) (1x10cm plate per condition) were lysed in TNTE and used in pulldown assays with immobilised recombinant GST or GST-TBR. Bound proteins were subjected to immunoblot analysis using TRAPPC8, TRAPPC4 and tubulin antibodies. Ponceau staining was used to verify loading of the GST fusion proteins (GST-TBR indicated with arrowhead). The bar chart expresses the relative amount of TRAPPC4 isolated from siTRAPPC8 compared to siRISC Free control cells from three independent experiments, error bars are ± s.e.m. ** p<0.01, unpaired T-test D) HEK293T cells stably depleted of TRAPPC8 (shC8) or not (shCtrl) were transfected with constructs encoding GFP or GFP-TRAPPC3 and subjected to GFP Trap IP. Precipitated proteins were immunoblotted for GFP, TRAPPC4 and TRAPPC8. Bar chart: the amount of TRAPPC4 isolated was normalised to the amount of GFP-TRAPPC3 precipitated from three independent experiments and plotted ± s.e.m., ns = non-significant, unpaired T-test.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 7

Figure 7. Loss of TRAPPC8 disrupts Golgi structure and function. A) HEK293A cells treated with transiently transfected with RISC free control siRNA or siRNA duplexes directed against TRAPPC8 and RAB11A and B (knockdown confirmed by immunoblot analysis) were fed with Alexa-647 Transferrin for 15 minutes in full medium, and the fluorescent transferrin chased out for the indicated time periods. At the end of the time course, cells were trypsinised, fixed and the Alexa-647 fluorescence analysed by flow cytometry. Results are plotted as percentage of transferrin fluorescence at t=0 for the RISC free control cells, expressed as the mean of three independent experiments ± s.e.m. B) Cells transiently transfected with RISC Free control siRNA, or siRNA duplexes directed against TRAPPC8 or RAB1A and B were stained for the cis-Golgi markers GM130 or RAB1B and analysed by confocal microscopy. Scale bars = 20 μm in main panels, 10 μm in inset panels. Bar graph: > 100 cells per siRNA were scored for fragmented or normal juxtanuclear Golgi stacks from three independent experiments. Error bars ± s.e.m., * p<0.05, ** p<0.01, one way ANOVA with Sidak’s multiple comparison test. C) HeLa C1 cells transiently transfected with RISC free control siRNA or siRNA duplexes directed against TRAPPC8 or RAB1A and B (knockdown confirmed by immunoblot analysis), were treated with D/D solubiliser for the indicated time periods, trypsinised, fixed and their GFP content analysed by flow cytometry. The line graph shows the GFP fluorescence as a percentage of t=0, ± s.e.m. from three independent experiments.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 8

Figure 8. TRAPP function is required for normal ATG9 traffic. A) ATG9 positive membranes were immunoisolated from approximately 2 × 107 fed (F) or starved (S) HEK293A cells using a monoclonal hamster anti-ATG9 (ATG9) or control hamster IgM and immunoblotted for ATG9 using a rabbit polyclonal antibody, TRAPPC8, TRAPPC4 and actin. B) HEK293A cells transfected with GFP or GFP-TBR (green) were stained for ATG9 using hamster anti-ATG9 (red) and analysed by confocal microscopy. Scale bar = 20 μm C) HEK293A cells transiently transfected with RISC Free siRNA or siRNA against TRAPPC8 were stained for RAB1B (green) and ATG9 using hamster anti-ATG9 (red) and imaged using confocal microscopy. D) Stills at t = 30 minutes from time lapse imaging of 9B9 cells (stably expressing GFP-LC3 and mRFP-ATG9) expressing either CFP or CFP-TBR (blue). Scale bars = 20 μm. Inset panels show mRFP-ATG9 and GFP-LC3 contact events at the indicated time points. Bar chart shows number of times a GFP-LC3 spot was within 1 μm of an mRFP-ATG9 spot (a contact event), expressed as total mRFP-ATG9 contacts per GFP-LC3 spot, n = 18 cells per condition pooled from 4 independent experiments.
TBC1D14 regulates autophagy via the TRAPP complex and ATG9 traffic (2015)
Figure 9

Figure 9. A TBC1D14 and RAB1 dependent trafficking step is essential for normal ATG9 traffic. A) Cells depleted of ULK1 (siULK1) or not (RISC Free) were transfected with GFP or GFP-TBR (green), starved (EBSS) or not (-EBSS) and stained for ATG9 using hamster anti-ATG9 (red). Arrows indicate transfected cells. Western blot indicates ULK1 knockdown. Scale bars = 20 μm. B) Cells depleted of ULK1 (siULK1) or not (RISC Free) were transfected with myc-RAB1B or myc-RAB1B (S22N) (green), starved (EBSS) or not (-EBSS) and stained for ATG9 using hamster anti-ATG9 (red) Arrows indicate transfected cells. Western blot indicates ULK1 knockdown. Scale bars = 20 μm. C) Model for the role of TBC1D14 and the TRAPP complex in mammalian autophagy and ATG9 traffic. Recycling endosomes harbour a population TBC1D14 bound to RAB11, and a population of ATG9 molecules which may traffic to and from the ATG9 compartment. (i) Upon amino acid starvation, TBC1D14 and RAB11 induce a vesicle trafficking step from RAB11 to RAB1 positive membranes at a tubulo-vesicular transport intermediate (ii). This results in recycling of ATG9 to RAB1-regulated Golgi compartments (iii) from where ATG9 can be trafficked to the ATG9 compartment in an ULK1 dependent manner (iv). This maintains the ATG9 compartment under starvation, which can then both contribute to, and promote autophagosome formation from other membrane sources, including the RAB11 positive recycling endosome (v).
Atrial-like cardiomyocytes from human pluripotent stem cells are a robust preclinical model for assessing atrial-selective pharmacology. (2015)
Figure 2

Transcriptional analysis of CT+ and RA+ CMs

A–C qPCR of selected transcripts at day 31 to validate (A) enrichment of cardiac markers in GFP+ fractions against GFP− fractions, (B) upregulation of atrial and (C) downregulation of ventricular genes in RA+ compared to CT+ (n = 3).

D, E Venn diagram to illustrate overlap of gene lists upregulated (UP) in CT+ CMs (D) and RA+ CMs (E) with genes expressed in atria and ventricles of 15-week-old fetal heart. Red square indicates higher overlap of CT+ with gene list of fetal ventricles or higher overlap of RA+ with gene list of fetal atria.

F Pie chart illustrates major classes of gene ontology terms enriched in gene lists upregulated in CT+ and RA+ CMs.

Data information: Data are presented as mean ± SEM. In (A–C), *P < 0.05, **P < 0.01, ***P < 0.001 by unpaired t-test. In (A), for TNNT2, P = 0.0001 for CT− against CT+ and P = 0.0002 for RA− against RA+; for NKX2.5, P = 0.00005 for CT− against CT+ and P = 0.00007 for RA− against RA+. In (B), P = 0.0006 for NPPA and P = 0.0002 for PITX2. In (C), P = 0.02 for HEY2 and P = 0.007 for IRX4.
Atrial-like cardiomyocytes from human pluripotent stem cells are a robust preclinical model for assessing atrial-selective pharmacology. (2015)
Figure 4

Retinoic acid induces COUP-TFI and COUP-TFII during atrial differentiation

A, B Line plot illustrating relative mRNA levels of (A) COUP-TFI and (B) COUP-TFII in VM and AM differentiations from day 5 through day 9 (left) and in GFP+ CMs at day 31 (right); n = 3.

C, D COUP-TFI (C) and COUP-TFII (D) immunofluorescence at day 31 in AM (top) and VM (bottom). Scale bars: 40 μm.

Data information: Data are presented as mean ± SEM. In (A, B), *P < 0.05, **P < 0.01, ***P < 0.001 by unpaired t-test. In (A), left panel, P = 0.03, 0.02, 0.03, 0.005 and 0.0004 for comparison of COUP-TFI expression between AM and VM at days 5, 6, 7, 8 and 9 of differentiation. In (A), right panel, P = 0.0002 for comparison of COUP-TFI expression at day 31 between AM and VM. In (B), left panel, P = 0.02, 0.03, 0.006, 0.004 and 0.003 for comparison of COUP-TFII expression between AM and VM at days 5, 6, 7, 8 and 9 of differentiation. In (B), right panel, P = 0.0001 for comparison of COUP-TFII expression at day 31 between AM and VM. CT = control differentiation; hESC-atrial (AM); hESC-ventricular (VM).
Atrial-like cardiomyocytes from human pluripotent stem cells are a robust preclinical model for assessing atrial-selective pharmacology. (2015)
Figure 5

COUP-TFs regulate atrial-specific ion channel genes <italic>KCNA5</italic> and <italic>KCNJ3</italic>

A, B mRNA expression of COUP-TFI and COUP-TFII following shRNA-mediated knockdown of (A) COUP-TFI or (B) COUP-TFII in hESC-atrial cardiomyocytes (AM) at day 30.

C, D mRNA expression of ion channel genes KCNA5, KCNJ3 and KCNJ5 after knockdown of (C) COUP-TFI or (D) COUP-TFII in AM at day 30.

E, F Schematic of NR2F binding sites in (E) KCNA5 and (F) KCNJ3 promoters.

G, H ChIP-qPCR analysis at day 30 shows enriched binding of COUP-TFI and COUP-TFII to the promoter region of (G) KCNA5 and (H) KCNJ3, compared to IgG in AM.

Data information: Data are presented as mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001 by unpaired t-test. In (A), P = 0.00004. In (B), P = 0.0001. In (C), P = 0.0001. In (D), P = 0.000004, 0.006 and 0.001, respectively. In (G), P = 0.0004 for COUP-TFI and P = 0.0002 for COUP-TFII. In (H), P = 0.0003 for COUP-TFI and P = 0.0001 for COUP-TFII.
Atrial-like cardiomyocytes from human pluripotent stem cells are a robust preclinical model for assessing atrial-selective pharmacology. (2015)
Figure 6

Characterization of I<sub>Kur</sub> and I<sub>K,ACh</sub> in hESC-ventricular and hESC-atrial CMs

A Expression of KCNA5 (left) and KCNJ3 (right) in GFP+ pools of VM and AM CMs at day 31, as well as in ventricles and atria of human heart.

B, C Typical examples (left) and current–voltage relationships (right) of (B) IKur and (C) IK,ACh in VM and AM CMs.

D, E Representative APs of VM and AM at 1 Hz in response to (D) IKur block by 4-AP and (E) IK,ACh activation by CCh. AP parameters are shown in Supplementary Table S5.

Data information: Data are presented as mean ± SEM. In (A), *P < 0.05 by unpaired t-test. In (B, C), *P < 0.05 by two-way repeated measures ANOVA followed by pairwise comparison using the Student–Newman–Keuls test for (B) and Mann–Whitney rank-sum test for (C). In (B), P = 0.778, 0.350, 0.03, 0.02, 0.002, 0.001, < 0.001 and < 0.001, respectively, for comparison between VM and AM within membrane potentials of −20, −10, 0, 10, 20, 30, 40 and 50 mV. In (C), P = 0.01, 0.01, 0.01, 0.01, 0.03, 0.397, 0.397, 0.397, 0.671, 0.207, 0.207, 0.09, 0.01, 0.039 and 0.015, respectively, for comparison between VM and AM within membrane potentials of −120, −110, −100, −90, −80, −70, −60, −50, −40, −30, −20, −10, 0, 10 and 20 mV. CMs = cardiomyocytes; hESC-atrial (AM) and hESC-ventricular (VM) CMs; IK,ACh = acetylcholine-activated potassium current; IKur = potassium ultra-rapid delayed rectifier current. 4-AP = 4-aminopyridine; CCh = carbachol.
Systematic mapping of protein-metabolite interactions in central metabolism of Escherichia coli (2019)
Figure 5

Figure 5: In vitro enzyme assays

A, Relative activity of NADP+-dependent glucose-6-phosphate dehydrogenase in the presence of potential regulators, error bars represent the s.e.m.. All regulators were tested at two concentrations in four distinct replicates (n=4, ATP: 5mM, 18 mM; GTP: 2 mM, 10 mM; IMP and AMP: 1 mM, 5 mM), the asterisk denotes significant inhibition (18 mM ATP: p-value = 0.029, 10 mM GTP: p-value = 0.025, one-tailed t-test).

B, Relative activity of phosphate acetyltransferase in the presence of phenylpyruvate and tryptophan, error bars represent the s.e.m.. All regulators were tested at three concentrations in three distinct replicates (n=3, phenylpyruvate: 0.1, 1, 5 mM, L-tryptophan: 0.1, 1, 4.4 mM).

C, Relative activity of fructose-bisphosphate aldolase class II in the presence of 5 mM of potential regulators, except hypoxanthine, which was tested at 3.22 mM. All regulators were tested in three distinct replicates (n=3), error bars represent the s.e.m.. The asterisk denotes significant activation (5 mM 3PG: p-value = 0.025, 5 mM ATP: p-value = 0.024, 5 mM PEP: p-value = 0.046, one-tailed t-test).

The raw data for all in vitro enzyme assays can be found in Dataset EV3.
Mitochondrial respiration is required to provide amino acids during fermentative proliferation of fission yeast (2020)
Figure 3

Figure 3. Arginine catabolism contributes to growth of cells with blocked respiratory chain.

(A) Normalised amino-acid concentrations in cells grown in EMM without (grey) or with arginine (red). For each condition, four independent samples were analysed. Concentrations are presented relative to the mean value for the given amino acid in EMM medium. *Ornithine (Orn) is abbreviated as O. The central band indicates the median, the upper and lower limits of the box indicate first and third quartiles, and the whiskers show the most extreme data, limited to 1.5-time interquartile range.

(B) Schematic relationship between alpha-ketoglutarate (α-KG) and arginine (R) synthesis (red arrows) and catabolism (blue arrows). Arginine is used to synthesize proline (P), glutamic acid (E), glutamine (Q) and lysine (K). The enzymatic roles of Car1, Car2 and Car3 are indicated.

(C) Growth curves of strains deleted for car1, car2 or car3, and a wild-type control. Strains were grown in EMM (black), EMM with antimycin A (red), EMM with arginine (light blue) or EMM with both arginine and antimycin A (dark blue) as indicated.

(D) Growth curves of strains deleted for car2 (top) or car3 (bottom). Strains were grown in EMM (black), EMM with antimycin A (red), EMM with arginine and antimycin A (dark blue), EMM with mix of all amino acids and antimycin A (bright blue), and EMM with antimycin A and each individual amino acid from the mix (grey).

(E) Growth curves of wild-type control (WT) and car2 deletion strain (Δcar2). Strains were grown in EMM media with antimycin A and with either a mix of all amino acids (+AA mix) or different combinations of lysine (K), glutamine (Q), glutamic acid (E), or arginine (R) as indicated. Dashed line: time point where wild-type strain saturates in EMM with amino-acid mix.
Mitochondrial respiration is required to provide amino acids during fermentative proliferation of fission yeast (2020)
Figure 4

Figure 4. Transcriptome regulation in response to respiratory inhibition and arginine supplementation.

(A) Changes in transcript abundance 30 and 120 min after addition of antimycin A to exponentially growing cells without (EMM) or with arginine (EMM+R). Transcripts annotated as up- or down-regulated Core Environmental Stress Response (CESR) are indicated in red and blue, respectively. All data is normalised to EMM time point 0.

(B) Graphs as in (A) showing expression profiles of transcripts encoding enzymes for arginine catabolism (blue) or arginine biosynthesis (red).

(C) Heat map of expression changes for transcripts repressed over 2-fold at 30 min in cells supplemented with arginine (EMM +R) relative to cells without supplementation (EMM). Values for timepoints 0 and 30 min after antimycin A addition are shown for cells grown in EMM, EMM with arginine and ssp1 deletion mutant grown in EMM. The data are normalised to EMM timepoint 0.

(D) Heat map of expression changes of the same genes as in (B) after one hour of inhibiting TOR kinase with torin1 or caffeine/rapamycin treatment relative to cell before treatment; cells were grown in rich media - YES (data from (Rodríguez-López et al., 2019))

(E) Overlaps between genes repressed with arginine supplementation and genes induced in tor2 thermo-sensitive mutant (p <E-27) (Matsuo et al., 2007), or repressed in strains deleted for the TOR inhibitors tsc1 and tsc2 (p <E-16) (Van Slegtenhorst et al., 2004).

(F) Enriched and underrepresented amino acids in proteins encoded by 40 genes that are down-regulated in media with arginine. Analysis performed using online tool AnGeLi (Bitton et al, 2015).

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