figshare
Browse

Mouse gene targeting reagents

Version 1199 2025-07-12, 19:45
Version 1198 2025-06-22, 15:19
Version 1197 2025-06-21, 20:04
Version 1196 2025-06-16, 02:18
Version 1195 2025-05-22, 03:50
Version 1194 2025-05-16, 17:46
Version 1193 2025-05-14, 03:58
Version 1192 2025-05-14, 02:51
Version 1191 2025-05-14, 01:24
Version 1190 2025-05-13, 01:33
Version 1189 2025-05-12, 01:10
Version 1188 2025-05-04, 03:44
Version 1187 2025-05-04, 03:18
Version 1186 2025-05-03, 03:08
Version 1185 2025-04-27, 14:40
Version 1184 2025-04-27, 03:23
Version 1183 2025-04-19, 15:56
Version 1182 2025-04-18, 04:14
Version 1181 2025-03-29, 16:41
Version 1180 2025-03-24, 03:06
Posted on 2025-07-12 - 19:45 authored by Hyung-song Nam

As previously noted in Skarnes et al., 2011 (https://doi.org/10.1038/nature10163), in the year 2022, conventional gene targeting in mouse embryonic stem cells using positive and negative selections (i.e., without the use of CRISPR/Cas) can actually be quite efficient. Many related technologies developed since its inception have improved the efficiency and made it easier to perform. Indeed, in all of my gene targeting experience in the Benezra then Capecchi laboratories, with good homology arms, I got many targets without any weird genomic rearrangements that are detectable by Southern blots. In general, if you get a good number of positive clones, there is usually much less of a concern about getting stuck with one weird clone that doesn't go germline because of aneuploidy etc.

The plasmids with gene targeting vector components I used are available for sharing at Addgene (https://www.addgene.org/browse/article/2996/, https://www.addgene.org/browse/article/2450/, https://www.addgene.org/browse/article/28215683/). During my doctoral work (see here), the combination of pFNF (Addgene #22687) and pKO2.1 (Addgene #22674), pKO2.2 (Addgene #22676), or pDTA-TK (Addgene #22677) worked well. I created these backbone plasmids using pKO II, PL253, and pgalK. During my post-doctoral work, the combination of pStart-K (Addgene #20346), pFNF (Addgene #22687), and pWS-TK6 (Addgene #20350) or pDTA-5 (Addgene #128845) worked well. I created pDTA-5 using pWS-TK6 and pSABgeolox2DTA. For the postdoctoral work, the technical concept and protocols utilized are described in these papers: https://doi.org/10.1038/nprot.2008.70 and https://doi.org/10.1016/j.ymeth.2010.12.026. As mentioned in the Nature Protocols paper, the low copy number replication origin in the plasmids pWS-TK6 or pDTA-5 made it so much easier compared to the high copy number plasmids I had used during my doctoral work (i.e., pKO2.1, pKO2.2, or pDTA-TK) because the E. coli harboring the large low copy number plasmids grew relatively fast, and the plasmids themselves did not randomly rearrange during propagation (see here - clicking will download a file).

For recombineering proficiency, I used the pRedET plasmid from GeneBridges (link). It is convenient and efficient, and I'm not sure whether the NIH recombineering E. coli are still available. I had used the NIH reagent previously during my PhD thesis work. I prefer subcloning the genomic DNA homology arms from a clone of bacterial artificial chromosome (BAC) library using recombineering over PCR because genomic sequences often have repetitive regions, and I don't know how well PCR handles those.

CITE THIS COLLECTION

DataCite
No result found
or
Select your citation style and then place your mouse over the citation text to select it.

SHARE

email

Usage metrics

AUTHORS (3)

CATEGORIES

need help?