Published March 24, 2025 | Version v2

van Der Sluijs et al. "DNA polymerase kappa is the primary translesion synthesis polymerase for aldehyde ICLs"

  • 1. ROR icon Princess Máxima Center
  • 2. ROR icon Oncode Institute
  • 3. ROR icon Hubrecht Institute for Developmental Biology and Stem Cell Research
  • 4. ROR icon University Medical Center Utrecht
  • 5. ROR icon Leiden University Medical Center

Description

Paired-end raw 150 base-pair Illumina short-read sequencing data corresponding to four experimental replicate libraries: MutSeq 8, MutSeq 9, Mutseq 9 - depletion, and Mutseq 10 - depletion.

Abstract: 

DNA interstrand crosslinks (ICLs) are highly cytotoxic lesions that block essential cellular processes like replication and transcription. Endogenous ICLs can be induced by reactive aldehydes produced during normal cellular metabolism. Defective repair of these aldehyde-induced ICLs is associated with Fanconi anemia (FA), a cancer predisposition syndrome. We previously showed that acetaldehyde-induced ICLs are repaired by the Fanconi anemia (FA) pathway and a novel excision-independent pathway. Here, we demonstrate that ICLs induced by acrolein, another cellular aldehyde, are also repaired by both pathways, establishing the generality of aldehyde ICL repair. Focusing on the FA pathway, we identify DNA polymerase kappa (Polκ) as the primary translesion synthesis (TLS) polymerase responsible for the insertion step during lesion bypass of unhooked aldehyde ICLs. This function requires Polκ's catalytic activity and PCNA interaction domains but is independent of Rev1 interaction. In contrast, Polκ has a minor non-catalytic role in the extension step of cisplatin ICL repair that is dependent on Rev1 interaction. Our work reveals a key role for Polκ in aldehyde ICL repair and provides mechanistic insights into how different ICL structures determine the choice of TLS polymerases during repair.

 

 

Notes

The following Tables 1-3 below provide information on the barcodes and sample conditions for all samples used to generate the pooled libraries in this study. Some barcodes were used for different sample conditions and contexts, hence the necessity to refer to these tables. Left and right flanking sequences and corresponding reference plasmid are provided for generation of mutation profiles with the SIQ program (van Schendel et al. 2022). Processed reads from corresponding barcodes/samples were mapped to the matching plasmid reference with bwamem2 (Vasimuddin et al. 2019).

 

Table 1: Mutseq 8 and Mutseq 9 Library Barcodes and Sample Conditions. 

Condition

Left Flank

Right Flank

ID

Barcode

Reference

Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B1

CAGTTAGT

CTRL.fa

AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B2

AATAGGAT

CTRL.fa

Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B3

AACACGTG

Ctrl-Acr-red.fa

AA-nat

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B4

TGTAAAGG

CTRL.fa

Acr-nat

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B5

GAATCTAG

CTRL.fa

mono-AA

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B6

GAGTTCTC

CTRL.fa

mono-Acr

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B7

AACTGAGC

CTRL.fa

Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B8

GCAAGTAC

CTRL.fa

Ctrl-Acr

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B9

GATTCGTA

Ctrl-Acr-red.fa

AA-nat DMSO

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A1

TAGGTGTT

CTRL.fa

Acr-nat DMSO

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A2

AGCTACGT

CTRL.fa

AA-nat p97i

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A3

TCCTATAT

CTRL.fa

Acr-nat p97i

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A4

CAACTGTG

CTRL.fa

 

Table 2: Mutseq 9 - depletion Library Barcodes and Sample Conditions. 

Condition

Left Flank

Right Flank

ID

Barcode

Reference

Mock Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B1

CAGTTAGT

CTRL.fa

Mock AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B2

AATAGGAT

CTRL.fa

Mock Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B3

AACACGTG

Ctrl-Acr-red.fa

Mock Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B4

TGTAAAGG

CTRL.fa

Mock Ctrl-Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B5

GAATCTAG

Ctrl-Acr-red.fa

∆Rev1 Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B6

GAGTTCTC

CTRL.fa

∆Rev1 AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B7

AACTGAGC

CTRL.fa

∆Rev1 Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B8

GCAAGTAC

Ctrl-Acr-red.fa

∆Rev1 Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B9

GATTCGTA

CTRL.fa

∆Rev1 Ctrl-Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

B10

TAGTAGGA

Ctrl-Acr-red.fa

∆PolK Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A1

TAGGTGTT

CTRL.fa

∆PolK AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A2

AGCTACGT

CTRL.fa

∆PolK Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A3

TCCTATAT

Ctrl-Acr-red.fa

∆PolK Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

A4

CAACTGTG

CTRL.fa

∆PolK Ctrl-Acr

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A5

GTTGTAGG

Ctrl-Acr-red.fa

 

Table 3: Mutseq 10 - depletion Barcodes and Sample Conditions. 

Condition

Left Flank

Right Flank

ID

Barcode

Reference

Mock Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B1

CAGTTAGT

CTRL.fa

Mock AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B5

GAATCTAG

CTRL.fa

Mock Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A1

TAGGTGTT

Ctrl-Acr-red.fa

Mock Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B8

GCAAGTAC

CTRL.fa

Mock Ctrl-Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A6

AGCCGACG

Ctrl-Acr-red.fa

∆Rev1 Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B2

AATAGGAT

CTRL.fa

∆Rev1 AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B6

GAGTTCTC

CTRL.fa

∆Rev1 Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A2

AGCTACGT

Ctrl-Acr-red.fa

∆Rev1 Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B9

GATTCGTA

CTRL.fa

∆Rev1 Ctrl-Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A8

CGAAACGC

Ctrl-Acr-red.fa

∆PolK Pt

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B4

TGTAAAGG

CTRL.fa

∆PolK AA-red

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B7

AACTGAGC

CTRL.fa

∆PolK Acr-red

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A5

GTTGTAGG

Ctrl-Acr-red.fa

∆PolK Ctrl

AGACAGCCCTCTTCC

TCTTCTTTCGTGCGC

B10

TAGTAGGA

CTRL.fa

∆PolK Ctrl-Acr

AGACAGCCCTCTCAC

GCTTCTTTCGTGCGC

A9

GTCAGACC

Ctrl-Acr-red.fa

Files

all_barcodes.txt

Files (155.7 MB)

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md5:32c28fdec42072c1d5cbe111c8681321
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md5:f6ddecaa1307220aa6403451e27e7b47
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md5:6bb1bac448542a5a76a6ad3351111e59
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md5:087643f91f079022c873d16780ebfb30
28.5 MB Download
md5:cfe34a016259f807960af657ca479492
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md5:058b7f796aa56e26576074f0da1a4a4f
19.8 MB Download
md5:8b5af10f2e2db081a51e9af4cf991ef6
15.6 MB Download
md5:52822c5a7245509e8a0523475d0cdfa9
27.2 MB Download

Additional details

Funding

European Research Council
ERC Consolidator Grant ERC-CoG 101003210

Dates

Updated
2025-07-23