{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE213nnn/GSE213724/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Genomics"],"species":["Homo sapiens"],"gds_type":["Non-coding RNA profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE213724"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Effects of overexpression on miRNA isoforms and the targetome","description":"Translational inhibition or degradation of messenger RNAs by microRNAs represent core regulatory mechanisms with a high grade of complexity proposed by experimental and computational approaches. One proposed important factor is isoforms of mature microRNAs (isomirs), adding numerous potential targets and functions. For a set of miRNAs (mir-34a, mir-129, mir-873, mir-133b, mir-7), we characterized the impact of their overexpression in cell culture models (HeLa, HEK293T, LUHMES, SH-SY5Y) on the detection of isomiRs. We observed an astonishing heterogeneity of isomiRs between cell lines, emphasizing a significantly increased isomiR repertoire following artificial overexpression with up to 832 different isoforms per miRNA. Performing a dilution and a time series, we validated a significantly increased isomiR repertoire after 8 hours and for precursor amounts of 0.5 µg. Proteomic analysis further argued for a significant influence of the isomiR repertoire depending on the miRNA amount. While 7mer-m8 sites revealed the highest reduction effect in general, we report an increased frequency but lower amplitude of repression with an increasing number of miR-7-5p isoforms. Our data call attention to interpreting the proposed impact of isomiRs on the targetome, especially using overexpression systems.","dates":{"publication":"2026/08/13"},"accession":"GSE213724","cross_references":{"GSM":["GSM6592636","GSM6592637","GSM6592638","GSM6592639","GSM6592680","GSM6592681","GSM6592682","GSM6592643","GSM6592600","GSM6592644","GSM6592601","GSM6592645","GSM6592646","GSM6592602","GSM6592683","GSM6592684","GSM6592640","GSM6592641","GSM6592642","GSM6592607","GSM6592608","GSM6592609","GSM6592603","GSM6592647","GSM6592604","GSM6592648","GSM6592649","GSM6592605","GSM6592606","GSM6592610","GSM6592654","GSM6592655","GSM6592611","GSM6592612","GSM6592656","GSM6592613","GSM6592657","GSM6592650","GSM6592651","GSM6592652","GSM6592653","GSM6592618","GSM6592619","GSM6592658","GSM6592614","GSM6592615","GSM6592659","GSM6592616","GSM6592617","GSM6592660","GSM6592621","GSM6592665","GSM6592589","GSM6592666","GSM6592622","GSM6592623","GSM6592667","GSM6592624","GSM6592668","GSM6592661","GSM6592662","GSM6592663","GSM6592664","GSM6592620","GSM6592629","GSM6592669","GSM6592625","GSM6592626","GSM6592627","GSM6592628","GSM6592591","GSM6592592","GSM6592670","GSM6592593","GSM6592594","GSM6592671","GSM6592590","GSM6592632","GSM6592599","GSM6592676","GSM6592677","GSM6592633","GSM6592634","GSM6592678","GSM6592679","GSM6592635","GSM6592672","GSM6592595","GSM6592596","GSM6592673","GSM6592597","GSM6592674","GSM6592630","GSM6592675","GSM6592631","GSM6592598"],"GPL":["28038"],"GSE":["213724"],"taxon":["Homo sapiens"]}}