Be-dataHIVE: a base editing database

BMC Bioinformatics

Table 1 Overview of studies included in the base editing database with selected metrics

References	Guides	Targets	Avg. efficiency rates full guide	Avg. bystander outcome rate	Avg. bystander edit rate	Cell lines	Base editors	Editor types
Arbab et al. (2020) [6]	33,280	33,612	0.291	0.703	0.054	HEK293T, U2OS, mES	ABE, ABE-CP1040, AID, BE4, BE4-CP1028, CDA, H47ES48A, T31A, T31AT44A, T44DS45A, eA3A, evoAPOBEC	ABE, CBE
Pallaseni et al. (2022) [3]	26,339	26,335	0.137	0.707	0.466	HEK293T, K562	ABE20m, ABE8e, ABERA, BE4-1, BE4-2, FNLS	ABE, CBE
Marquart et al. (2021) [9]	22,289	22,289	0.201	0.903	0.010	HEK293T	ABE8e, ABEmax, CBE4max, Target-AID	ABE, CBE
Yuan et al. (2021) [8]	13,660	13,660	–	0.356	0.014	HEK293T	A3G-CGBE, A3G-CTD-CGBE, BE3-WT, CBE4max, YE1-FNLS-BE3, YE1-FNLS-CGBE, eA3A-FNLS-CGBE, elegan-A3G-CTD-OPTI-CGBE, elegan-A3G-OPTI-CGBE, elegan-eA3A-OPTI-CGBE, elgan-OPTI-CGBE	CBE
Song et al. (2020) [7]	12,210	12,210	0.141	0.960	0.007	HEK293T	ABE, CBE	ABE, CBE

Please note that for some base editors certain metrics cannot be computed based on the underlying data and are therefore shown as –. For example, efficiency rates cannot be calculated based on bystander data alone as one could have multiple edits occurring at different positions within the same read (for a more detailed explanation please see Sect. "Base editing prediction tasks")

ISSN: 1471-2105