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Status |
Public on Sep 12, 2022 |
Title |
NPCs D868N Hi-C #3 |
Sample type |
SRA |
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Source name |
NPCs
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Organism |
Homo sapiens |
Characteristics |
cell type: NPCs genotype: SETBP1 D868N
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Extracted molecule |
genomic DNA |
Extraction protocol |
For in situ Hi-C libraries preparation 5 milions of either NPCs or neurons were used. An already published experimental protocol was used 4. The procedures consist in different experimental steps: (i) crosslinking cells with formaldehyde at 1% concentration, (ii) digesting the DNA using a 4-cutter restriction enzyme (e.g., DpnI) within intact permeabilized nuclei, (iii) filling in and biotinylating the resulting 5′-overhangs, (iv) ligating the blunt ends, (v) shearing the DNA, (vi) pulling down the biotinylated ligation junctions with streptavidin beads, and (vii) analyzing these fragments using paired end sequencing. A first sequencing run of 5 milion reads perform to verify the experimental quality. After passing the quality check, sample were sequenced paired end on Nova-seq6000 at San Raffaele hospital omics facility. TruSeq
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Library strategy |
Hi-C |
Library source |
genomic |
Library selection |
other |
Instrument model |
Illumina NovaSeq 6000 |
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Description |
NPC_D868N_3 dual index library
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Data processing |
To perform raw data QCs and alignment to hg38 reference Juicer pipeline was used, with default settings (Durand et al, 2016). Contact matrices were then generated up to a resolution of 5kb. The juicer-tools were used to perform all the downstream data analysis after obtaining the contact matrices Genome_build: hg38 Supplementary files format and content: hic contact matrices
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Submission date |
Aug 29, 2022 |
Last update date |
Sep 12, 2022 |
Contact name |
Luca Massimino |
E-mail(s) |
admin@lucamassimino.com
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Phone |
+393389039500
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Organization name |
Ospedale San Raffaele
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Department |
Gastroenterology
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Street address |
Via Olgettina, 58
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City |
Milano |
State/province |
MI |
ZIP/Postal code |
20100 |
Country |
Italy |
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Platform ID |
GPL24676 |
Series (1) |
GSE212252 |
Balanced SET levels favor the correct enhancer repertoire during cell fate acquisition |
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Relations |
BioSample |
SAMN30566550 |
SRA |
SRX17313947 |
Supplementary file |
Size |
Download |
File type/resource |
GSM6519815_NPC_D868N_3.hic |
1.3 Gb |
(ftp)(http) |
HIC |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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