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| Status |
Public on Dec 31, 2022 |
| Title |
OKseqHMM: a genome-wide replication fork directionality analysis toolkit |
| Organism |
Homo sapiens |
| Experiment type |
Other
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| Summary |
During each cell division, tens of thousands of DNA replication origins are coordinately activated to ensure the complete duplication of the entire human genome. However, the progression of replication forks can be challenged by numerous factors. One such factor is transcription-replication conflict (TRC), which can either be co-directional or head-on and the latter has been revealed as more dangerous for genome integrity. In order to study the direction of replication fork movement and TRC, we developed a bioinformatics tool, called OKseqHMM, to direct measure the replication fork directionality (RFD) as well as replication initiation and termination, along human genome obtained by sequencing of Okazaki fragments (OK-Seq) and related techniques. We have gathered and analyzed OK-seq data from a large number of organisms including yeast, mouse and human, to generate high-quality RFD profiles and determine initiation zones and termination zones by using Hidden Markov Model (HMM) algorithm (all tools and data are available at https://github.com/CL-CHEN-Lab/OK-Seq). In addition, we have extended our analysis to data obtained by related techniques, such as eSPAN and TrAEL-seq, which also contain RFD information. Our works, therefore, provide an important tool and resource for the community to further study TRC and genome instability, in a wide range of cell line models and growth conditions, which is of prime importance for human health.
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| Overall design |
OK-seq experimetant of HeLa S3 was performed as previous described, and OK-seq data were proceeded by the R_based pipeline OKseqHMM to generate the replication fork directionnality (RFD) profile and to detect the replication initiation and termination zones.
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| Contributor(s) |
Liu Y, Wu X, D'aubenton-Carafa Y, Thermes C, Chen C |
| Citation(s) |
36629249 |
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| Submission date |
Jan 12, 2022 |
| Last update date |
Jun 14, 2023 |
| Contact name |
Chunlong Chen |
| E-mail(s) |
chunlong.chen@curie.fr
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| Organization name |
Institut Curie
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| Department |
UMR3244
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| Street address |
26 rue d’Ulm
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| City |
Paris |
| ZIP/Postal code |
75005 |
| Country |
France |
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| Platforms (1) |
| GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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| Samples (1) |
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| Relations |
| BioProject |
PRJNA796577 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE193547_RAW.tar |
25.0 Mb |
(http)(custom) |
TAR (of BED, BW) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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