<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Guzman C</submitter><funding>NIDDK NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>UC San Diego</funding><funding>NHGRI NIH HHS</funding><funding>NIH</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>e80</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10450201</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>51(15)</volume><pubmed_abstract>Cis-regulatory elements (CREs) can be classified by the shapes of their transcription start site (TSS) profiles, which are indicative of distinct regulatory mechanisms. Massively parallel reporter assays (MPRAs) are increasingly being used to study CRE regulatory mechanisms, yet the degree to which MPRAs replicate individual endogenous TSS profiles has not been determined. Here, we present a new low-input MPRA protocol (TSS-MPRA) that enables measuring TSS profiles of episomal reporters as well as after lentiviral reporter chromatinization. To sensitively compare MPRA and endogenous TSS profiles, we developed a novel dissimilarity scoring algorithm (WIP score) that outperforms the frequently used earth mover's distance on experimental data. Using TSS-MPRA and WIP scoring on 500 unique repo</pubmed_abstract><journal>Nucleic acids research</journal><pubmed_title>Combining TSS-MPRA and sensitive TSS profile dissimilarity scoring to study the sequence determinants of transcription initiation.</pubmed_title><pmcid>PMC10450201</pmcid><funding_grant_id>R01 GM129523</funding_grant_id><funding_grant_id>F31 HG011823</funding_grant_id><funding_grant_id>U01DA051972</funding_grant_id><funding_grant_id>U01 DA051972</funding_grant_id><funding_grant_id>R01 GM134366</funding_grant_id><funding_grant_id>R00 GM135515</funding_grant_id><funding_grant_id>R21DA056177</funding_grant_id><funding_grant_id>R21 DA056177</funding_grant_id><funding_grant_id>R00GM135515</funding_grant_id><funding_grant_id>R01GM134366</funding_grant_id><funding_grant_id>U01 AI150748</funding_grant_id><funding_grant_id>U01AI150748</funding_grant_id><funding_grant_id>P30DK120515</funding_grant_id><funding_grant_id>P30DK063491</funding_grant_id><funding_grant_id>P30 DK063491</funding_grant_id><funding_grant_id>P30 DK120515</funding_grant_id><funding_grant_id>R01GM129523</funding_grant_id><pubmed_authors>De Arruda Saldanha C</pubmed_authors><pubmed_authors>Downes NL</pubmed_authors><pubmed_authors>Duttke S</pubmed_authors><pubmed_authors>Zhu Y</pubmed_authors><pubmed_authors>Benner C</pubmed_authors><pubmed_authors>Guzman C</pubmed_authors><pubmed_authors>Heinz S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Combining TSS-MPRA and sensitive TSS profile dissimilarity scoring to study the sequence determinants of transcription initiation.</name><description>Cis-regulatory elements (CREs) can be classified by the shapes of their transcription start site (TSS) profiles, which are indicative of distinct regulatory mechanisms. Massively parallel reporter assays (MPRAs) are increasingly being used to study CRE regulatory mechanisms, yet the degree to which MPRAs replicate individual endogenous TSS profiles has not been determined. Here, we present a new low-input MPRA protocol (TSS-MPRA) that enables measuring TSS profiles of episomal reporters as well as after lentiviral reporter chromatinization. To sensitively compare MPRA and endogenous TSS profiles, we developed a novel dissimilarity scoring algorithm (WIP score) that outperforms the frequently used earth mover's distance on experimental data. Using TSS-MPRA and WIP scoring on 500 unique repo</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Aug</publication><modification>2026-04-08T12:31:40.582Z</modification><creation>2025-04-07T10:22:11.373Z</creation></dates><accession>S-EPMC10450201</accession><cross_references><pubmed>37403796</pubmed><doi>10.1093/nar/gkad562</doi></cross_references></HashMap>