Calorie restriction (CR) and treatment with rapamycin (RM), an inhibitor of the mTORC1 growth-promoting signaling pathway, are known to slow aging and promote health from worms to humans. At the transcriptome and proteome levels, long-term CR and RM treatments have partially overlapping effects, while their impact on protein phosphorylation within cellular signaling pathways have not been compared. Here we measured the phosphoproteomes of soleus, tibialis anterior, triceps brachii and gastrocnemius muscles from adult (10 months) and 30-month-old (aged) mice receiving either a control, a calorie restricted or an RM containing diet from 15 months of age. We reproducibly detected and extensively analyzed a total of 6960 phosphosites, 1415 of which are not represented in standard repositories. We reveal the effect of these interventions on known mTORC1 pathway substrates, with CR displaying greater between-muscle variation than RM. Overall, CR and RM have largely consistent, but quantitatively distinct long-term effects on the phosphoproteome, mitigating age-related changes to different degrees. Our data expands the catalog of protein phosphorylation sites in the mouse, providing important information regarding their tissue-specificity, and revealing the impact of long-term nutrient-sensing pathway inhibition on mouse skeletal muscle.

The limited correlation between mRNA and protein levels within cells highlighted the need to study mechanisms of translational control. To decipher the factors that determine the rates of individual steps in mRNA translation, machine learning approaches are currently applied to large libraries of synthetic constructs, whose properties are generally different from those of endogenous mRNAs. To fill this gap and thus enable the discovery of elements driving the translation of individual endogenous mRNAs, we here report steady-state and dynamic multi-omics data from human liver cancer cell lines, specifically (i) ribosome profiling data from unperturbed cells as well as following the block of translation initiation (ribosome run-off, to trace translation elongation), (ii) protein synthesis rates estimated by pulsed stable isotope labeled amino acids in cell culture (pSILAC), and (iii) mean ribosome load on individual mRNAs determined by mRNA sequencing of polysome fractions (polysome profiling). These data will enable improved predictions of mRNA sequence-dependent protein output, which is crucial for engineering protein expression and for the design of mRNA vaccines.

The transcription factor Pho4 is crucial for the response to phosphate starvation in many fungi, and it has been linked to tolerance to alkalinization of the medium and to pathogenicity. It is widely accepted that it is encoded by a single gene. However, the industrially relevant yeast Komagataella phaffii might contain two Pho4-encoding genes ( PAS_chr1-1_0265 and PAS_chr2-1_0177 , designated here PHO4(A) and PHO4(B ), respectively), which have never been functionally characterized. The phenotypic analysis of single and double mutants suggests that Pho4(B) plays a major role in the adaptation to Pi scarcity. While single mutants exhibited limited and non-overlapping phenotypic defects, the pho4(A) pho4(B) strain was sensitive to multiple types of stress, including phosphate starvation and alkaline pH. Transcriptomic analysis confirms that Pho4(B) is crucial for the transcriptional response to phosphate starvation, including induction of typical gene markers ( PHO5 , PHO89 , VTC1 , etc.). However, by using a GFP reporter we found that PHO4(A) also participates in the induction of PHO89 under high pH stress. Expression of both PHO4(A) and PHO4(B) in S. cerevisiae complemented the pho4 mutation under phosphate limitation by restoring growth, expression of the Pho84 transporter and secreted phosphatase activity. These results indicate that both transcription factors display partially overlapping functions, responding differently to diverse stimuli, and that together they constitute a key component in the adaptation to a variety of stresses. Therefore, K. phaffii is an exceptional example among fungi that encodes two Pho4 functional transcription factors.

The transcription factor Pho4 is crucial for the response to phosphate starvation in many fungi, and it has been linked to tolerance to alkalinization of the medium and to pathogenicity. It is widely accepted that it is encoded by a single gene. However, the industrially relevant yeast Komagataella phaffii might contain two Pho4-encoding genes (PAS_chr1-1_0265 and PAS_chr2-1_0177, designated here PHO4(A) and PHO4(B), respectively), which have never been functionally characterized. The phenotypic analysis of single and double mutants suggests that Pho4(B) plays a major role in the adaptation to Pi scarcity. While single mutants exhibited limited and non-overlapping phenotypic defects, the pho4(A) pho4(B) strain was sensitive to multiple types of stress, including phosphate starvation and alkaline pH. Transcriptomic analysis confirms that Pho4(B) is crucial for the transcriptional response to phosphate starvation, including induction of typical gene markers (PHO5, PHO89, VTC1, etc.). However, by using a GFP reporter, we found that PHO4(A) also participates in the induction of PHO89 under high pH stress. Expression of both PHO4(A) and PHO4(B) in Saccharomyces cerevisiae complemented the pho4 mutation under phosphate limitation by restoring growth, expression of the Pho84 transporter, and secreted phosphatase activity. Therefore, both transcription factors display partially overlapping functions, respond differently to diverse stimuli, and together constitute a key component in the adaptation to multiple stresses.

Hepatocellular carcinoma (HCC) is one the most lethal cancer types. While infections with hepatitis B or hepatitis C viruses remain the primary risk factors for HCC development worldwide, metabolic disease-associated steatohepatitis has become the fastest growing etiology of HCC, particularly in the West. Our study characterizes, for the first time, the remodeling of the translation landscape in steatohepatitis-associated HCC using ribosome profiling and mass spectrometry techniques. In striking contrast with the transcriptional alterations, which do not show strong dependence on associated co-morbidity, translational alterations are broader in the steatohepatitis compared to the viral background. These alterations affect hundreds of genes, whose products are often involved in subcellular protein localization. By quantifying the relationship between the ribosome occupancy of upstream or downstream open reading frames (uORFs or dORFs) and coding regions (CDSs), we provide evidence of uORFs attenuating the translation efficiency of CDSs in HCC. We also identify numerous novel translated regions, including from RNAs currently annotated as non-coding, some yielding peptides that can be reproducibly identified in mass spectrometry datasets. Our study thus provides novel molecular data on HCC with a focus on the steatohepatitis etiology, reveals unexpectedly extensive translational control in this co-morbidity, and gives multiple hints and candidate targets for follow-up experiments.