This initial unbiased set of genes was then manually refined by (1) excluding genes encoded by the mitochondrial genome as well as some genes with the annotated nuclear or mitochondrial function (Pola1, Ezh2, Smc4, Cenpb, Pink1 and Ncl); (2) adding genes with a known zipcode or neurite localization sequence (Camk2a94 (link), Actb5 (link), Bdnf9 (link), Arc11 (link),95 (link), Cdc42 (ref. 25 (link)), Map2 (ref. 96 (link)) and Bc1 (ref. 97 (link)); (3) adding genes that showed localization in non-primary31 (link) and in-house datasets as well as our PCN and fewer other primary datasets (Rab13, Net1, Hmgn5, 2410006H16Rik, Pfdn5, Tagln2, Pfdn1 and Cryab); and (4) restricting the genes encoding for ribosomal proteins and translation factors to a smaller subset with sufficiently large 3′ UTRs (Rplp2, Rpl12, Rpl39, Rpl37, Rpl14, Rps28, Rpsa, Rps24, Rps23, Rps18, Eef1b2, Eef1a1 and Eef1g).
Optimizing Neurite-Localized Gene Library
This initial unbiased set of genes was then manually refined by (1) excluding genes encoded by the mitochondrial genome as well as some genes with the annotated nuclear or mitochondrial function (Pola1, Ezh2, Smc4, Cenpb, Pink1 and Ncl); (2) adding genes with a known zipcode or neurite localization sequence (Camk2a94 (link), Actb5 (link), Bdnf9 (link), Arc11 (link),95 (link), Cdc42 (ref. 25 (link)), Map2 (ref. 96 (link)) and Bc1 (ref. 97 (link)); (3) adding genes that showed localization in non-primary31 (link) and in-house datasets as well as our PCN and fewer other primary datasets (Rab13, Net1, Hmgn5, 2410006H16Rik, Pfdn5, Tagln2, Pfdn1 and Cryab); and (4) restricting the genes encoding for ribosomal proteins and translation factors to a smaller subset with sufficiently large 3′ UTRs (Rplp2, Rpl12, Rpl39, Rpl37, Rpl14, Rps28, Rpsa, Rps24, Rps23, Rps18, Eef1b2, Eef1a1 and Eef1g).
Corresponding Organization : Weizmann Institute of Science
Other organizations : Freie Universität Berlin, Harvard University, Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Variable analysis
- Genes with significant enrichment (adjusted P < 0.05) in the analyzed primary neuronal datasets
- Genes for which an enrichment value could be calculated in the PCN system (log2FC not NA)
- Genes with a significant enrichment in at least four datasets, median log2FC > 1, and either mean log2FC > 1 or a positive log2FC value in all datasets
- Genes with a significant enrichment value in at least five datasets and either median log2FC > 1 or mean log2FC > 1 or a positive log2FC value in all datasets
- Neurite localization of the selected genes
- Genes encoded by the mitochondrial genome
- Genes with annotated nuclear or mitochondrial function (Pola1, Ezh2, Smc4, Cenpb, Pink1, and Ncl)
- Genes with known zipcode or neurite localization sequence (Camk2a, Actb, Bdnf, Arc, Cdc42, Map2, and Bc1)
- Genes that showed localization in non-primary and in-house datasets as well as the PCN and fewer other primary datasets (Rab13, Net1, Hmgn5, 2410006H16Rik, Pfdn5, Tagln2, Pfdn1, and Cryab)
- Ribosomal proteins and translation factors with sufficiently large 3' UTRs (Rplp2, Rpl12, Rpl39, Rpl37, Rpl14, Rps28, Rpsa, Rps24, Rps23, Rps18, Eef1b2, Eef1a1, and Eef1g)
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