| Autor: |
Ariel Caride, Jin Sung Jang, Geng-Xian Shi, Sam Lenz, Jian Zhong, Kwan Hyun Kim, Mariet Allen, Keith D. Robertson, Gianrico Farrugia, Tamas Ordog, Nilüfer Ertekin-Taner, Jeong-Heon Lee |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
BMC Genomics, Vol 24, Iss 1, Pp 1-13 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2164 |
| DOI: |
10.1186/s12864-023-09253-0 |
| Popis: |
Abstract Chromatin immunoprecipitation (ChIP) is an antibody-based approach that is frequently utilized in chromatin biology and epigenetics. The challenge in experimental variability by unpredictable nature of usable input amounts from samples and undefined antibody titer in ChIP reaction still remains to be addressed. Here, we introduce a simple and quick method to quantify chromatin inputs and demonstrate its utility for normalizing antibody amounts to the optimal titer in individual ChIP reactions. For a proof of concept, we utilized ChIP-seq validated antibodies against the key enhancer mark, acetylation of histone H3 on lysine 27 (H3K27ac), in the experiments. The results indicate that the titration-based normalization of antibody amounts improves assay outcomes including the consistency among samples both within and across experiments for a broad range of input amounts. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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