<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/GSE328nnn/GSE328878/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328878</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Transcriptomic comparison of RA vs healthy monocytes undergoing different ex vivo activation conditions</name><description>Rheumatoid arthritis (RA) monocytes are primed for inflammatory activation, but their disease-intrinsic molecular features have not been systematically profiled across omics layers. We aimed to define RA-associated alterations in primary human monocytes using an integrated multi-omics approach under controlled differentiation and stimulation conditions. Transcriptomics data showed upregulation of inflammatory and interferon-related programs but downregulation of translation- and mitochondrial matrix-associated gene sets in RA monocytes. Constraint-based metabolic modeling using transcript abundances as proxies for enzyme activities showed widespread downregulation of glycosylation-related metabolic fluxes.</description><dates><publication>2026/04/28</publication></dates><accession>GSE328878</accession><cross_references><GSM>GSM9693327</GSM><GSM>GSM9693328</GSM><GSM>GSM9693329</GSM><GSM>GSM9693334</GSM><GSM>GSM9693335</GSM><GSM>GSM9693336</GSM><GSM>GSM9693337</GSM><GSM>GSM9693330</GSM><GSM>GSM9693297</GSM><GSM>GSM9693298</GSM><GSM>GSM9693331</GSM><GSM>GSM9693332</GSM><GSM>GSM9693299</GSM><GSM>GSM9693333</GSM><GSM>GSM9693293</GSM><GSM>GSM9693294</GSM><GSM>GSM9693295</GSM><GSM>GSM9693296</GSM><GSM>GSM9693290</GSM><GSM>GSM9693291</GSM><GSM>GSM9693292</GSM><GSM>GSM9693316</GSM><GSM>GSM9693317</GSM><GSM>GSM9693318</GSM><GSM>GSM9693319</GSM><GSM>GSM9693323</GSM><GSM>GSM9693324</GSM><GSM>GSM9693325</GSM><GSM>GSM9693326</GSM><GSM>GSM9693286</GSM><GSM>GSM9693287</GSM><GSM>GSM9693320</GSM><GSM>GSM9693321</GSM><GSM>GSM9693288</GSM><GSM>GSM9693289</GSM><GSM>GSM9693322</GSM><GSM>GSM9693285</GSM><GSM>GSM9693309</GSM><GSM>GSM9693349</GSM><GSM>GSM9693305</GSM><GSM>GSM9693306</GSM><GSM>GSM9693307</GSM><GSM>GSM9693308</GSM><GSM>GSM9693312</GSM><GSM>GSM9693356</GSM><GSM>GSM9693313</GSM><GSM>GSM9693314</GSM><GSM>GSM9693315</GSM><GSM>GSM9693352</GSM><GSM>GSM9693353</GSM><GSM>GSM9693310</GSM><GSM>GSM9693354</GSM><GSM>GSM9693355</GSM><GSM>GSM9693311</GSM><GSM>GSM9693350</GSM><GSM>GSM9693351</GSM><GSM>GSM9693338</GSM><GSM>GSM9693339</GSM><GSM>GSM9693301</GSM><GSM>GSM9693345</GSM><GSM>GSM9693302</GSM><GSM>GSM9693346</GSM><GSM>GSM9693347</GSM><GSM>GSM9693303</GSM><GSM>GSM9693304</GSM><GSM>GSM9693348</GSM><GSM>GSM9693341</GSM><GSM>GSM9693342</GSM><GSM>GSM9693343</GSM><GSM>GSM9693344</GSM><GSM>GSM9693300</GSM><GSM>GSM9693340</GSM><GPL>24676</GPL><GSE>328878</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>