<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324706/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Genomics</omics_type><species>Mus musculus</species><gds_type>Non-coding RNA profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324706</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Mitochondrial tRNA-derived fragments link mtDNA variation to metastatic burden [lung]</name><description>How mitochondrial DNA (mtDNA) polymorphisms influence complex phenotypes remains poorly understood. Using Mitochondrial-Nuclear eXchange (MNX) mice, we previously showed that mtDNA single nucleotide polymorphisms (SNP) modify metastasis, cardiovascular disease, and epigenetic marks independently of metabolic differences, suggesting a role for non-protein-coding loci. The only SNP correlating with these phenotypes resides in the gene encoding mitochondrial tRNA-Arginine (mt-tRNAArg (UCG), mt-TR). Here we identify and preliminarily characterize previously undescribed tRNA-derived fragments (tRF) generated from mt-TR. Northern blotting revealed distinct tRF that are differentially expressed between lung and liver and between sexes. Small RNA sequencing failed to capture these tRF unless samples were pre-treated to enzymatically remove non-canonical RNA termini and base methylation. Focusing on fragments with complete homology to mt-TR, the two most abundant tRF align uniquely to the mitochondrial genome and share conserved cleavage sites. Together, these findings uncover mitochondrial-derived tRF as a previously unrecognized small RNA metastasis modifiers and expand the functional output of the mitochondrial genome, supporting a model in which mtDNA-encoded tRF contribute to phenotype modification.</description><dates><publication>2026/08/07</publication></dates><accession>GSE324706</accession><cross_references><GSM>GSM9583239</GSM><GSM>GSM9583243</GSM><GSM>GSM9583287</GSM><GSM>GSM9583286</GSM><GSM>GSM9583242</GSM><GSM>GSM9583245</GSM><GSM>GSM9583244</GSM><GSM>GSM9583288</GSM><GSM>GSM9583247</GSM><GSM>GSM9583246</GSM><GSM>GSM9583249</GSM><GSM>GSM9583248</GSM><GSM>GSM9583281</GSM><GSM>GSM9583280</GSM><GSM>GSM9583283</GSM><GSM>GSM9583282</GSM><GSM>GSM9583241</GSM><GSM>GSM9583285</GSM><GSM>GSM9583240</GSM><GSM>GSM9583284</GSM><GSM>GSM9583229</GSM><GSM>GSM9583228</GSM><GSM>GSM9583232</GSM><GSM>GSM9583276</GSM><GSM>GSM9583231</GSM><GSM>GSM9583275</GSM><GSM>GSM9583234</GSM><GSM>GSM9583278</GSM><GSM>GSM9583277</GSM><GSM>GSM9583233</GSM><GSM>GSM9583236</GSM><GSM>GSM9583235</GSM><GSM>GSM9583279</GSM><GSM>GSM9583238</GSM><GSM>GSM9583237</GSM><GSM>GSM9583270</GSM><GSM>GSM9583272</GSM><GSM>GSM9583271</GSM><GSM>GSM9583274</GSM><GSM>GSM9583230</GSM><GSM>GSM9583273</GSM><GSM>GSM9583218</GSM><GSM>GSM9583217</GSM><GSM>GSM9583219</GSM><GSM>GSM9583221</GSM><GSM>GSM9583265</GSM><GSM>GSM9583220</GSM><GSM>GSM9583264</GSM><GSM>GSM9583223</GSM><GSM>GSM9583267</GSM><GSM>GSM9583266</GSM><GSM>GSM9583222</GSM><GSM>GSM9583269</GSM><GSM>GSM9583225</GSM><GSM>GSM9583224</GSM><GSM>GSM9583268</GSM><GSM>GSM9583227</GSM><GSM>GSM9583226</GSM><GSM>GSM9583261</GSM><GSM>GSM9583260</GSM><GSM>GSM9583263</GSM><GSM>GSM9583262</GSM><GSM>GSM9583254</GSM><GSM>GSM9583253</GSM><GSM>GSM9583256</GSM><GSM>GSM9583255</GSM><GSM>GSM9583258</GSM><GSM>GSM9583257</GSM><GSM>GSM9583216</GSM><GSM>GSM9583215</GSM><GSM>GSM9583259</GSM><GSM>GSM9583250</GSM><GSM>GSM9583252</GSM><GSM>GSM9583251</GSM><GPL>21626</GPL><GSE>324706</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>