Current next-generation RNA sequencing methods do not provide accurate quantification of small RNAs within a sample due to sequence-dependent biases in capture, ligation, and amplification during library preparation. We present a method, Absolute Quantification (AQ) RNA-seq, that minimizes biases and provides a direct, linear correlation between sequencing read count and copy number for all small RNAs in a sample. Library preparation and data processing were optimized and validated using a 963-member miRNA reference library, oligonucleotide standards of varying lengths, and northern blots. Application of AQRNA-seq to a panel of human cancer cells revealed >800 detectable miRNAs that varied during cancer progression, while application to bacterial tRNA pools, with the challenges of secondary structure and abundant modifications, revealed 80-fold variation in tRNA isoacceptor levels, stress-induced site-specific tRNA fragmentation, quantitative modification maps, and evidence for stress-induced tRNA-driven codon-biased translation. AQRNA-seq thus provides a versatile means to quantitatively map the small RNA landscape in cells.

Control of cellular identity involves coordination of developmental programs with environmental factors such as nutrient availability, suggesting that modulating aspects of metabolism could enable therapeutically relevant changes in cell fate. We show that nucleotide depletion facilitates gene expression changes towards a new cell fate by perturbing DNA replication in models of acute myeloid leukemia, a cancer characterized by a differentiation blockade. This transition starts in S phase and is independent of replication stress signaling and DNA damage signaling pathways. Moreover, it occurs despite sustained oncogene-driven expression of the progenitor program and is accompanied by limited changes in chromatin accessibility. Altering lineage-determining transcription factor expression redirects cell fate progression towards an alternate fate upon replication stress, suggesting that perturbing DNA replication allows cells to mobilize primed maturation programs. Our work, along with other findings in diverse systems, suggests a conserved mechanism by which metabolic changes can orchestrate cell fate transitions.

Metastases arise from a subset of cancer cells that disseminate from the primary tumor; however, the factors that contribute to proliferation of cancer cells in a secondary site are incompletely understood. The ability of cancer cells to thrive in a new tissue site is influenced by genetic and epigenetic changes that are important for disease initiation and progression, but these factors alone do not predict if and where cancers metastasize. Specific cancer types metastasize to consistent subsets of tissues, suggesting that factors within the primary tumor influence the tissue environments where cancers can grow. Using pancreatic cancer as a model, we find that primary and metastatic tumors are metabolically similar to each other and that the tumor initiating capacity and proliferation of both primary- and metastasis-derived cells is favored in the primary site relative to the metastatic site. Moreover, propagating lung or liver metastatic cells in vivo to enrich for tumor cells adapted to grow in the lung or the liver does not enhance their relative ability to form large tumors in those sites, change their preference to grow in the primary site, nor stably alter their metabolism relative to primary tumors. To assess whether this preference for the primary site is specific to pancreatic cancer, we analyzed liver and lung cancer cells and find that these cells also best form tumors in the tissue that corresponds to their primary site. Together, these data suggest that the cancer tissue-of-origin influences the metabolism of both primary and metastatic tumors and may impact whether cancer cells can thrive in a metastatic site.