Directed evolution improves the catalytic efficiency of APEX2-mediated proximity-dependent RNA labeling
RNA-seq (gene expression) · human · 54 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 54 samples: 16 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Directed Evolution Improves the Catalytic Efficiency of APEX2-Mediated Proximity-Dependent RNA LabelingAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE262170_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1090511 and SRA study SRP497026. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 54 samples.
How we read this: 16 replicated groups read from 54 sample titles; they account for 54 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8159074 APEX2_L242F-NES, Btn-An labeling, post-enrichment, rep1 APEX2_L242F-NES, Btn-An…
- GSM8159075 APEX2_L242F-NES, Btn-An labeling, post-enrichment, rep2 APEX2_L242F-NES, Btn-An…
- GSM8159076 APEX2_L242F-NES, Btn-An labeling, post-enrichment, rep3 APEX2_L242F-NES, Btn-An…
- GSM8159077 APEX2_L242F-ERM, omit probe, post-enrichment, rep1 APEX2_L242F-ERM, omit p…
- GSM8159078 APEX2_L242F-ERM, omit probe, post-enrichment, rep2 APEX2_L242F-ERM, omit p…
- GSM8159079 APEX2_L242F-ERM, omit probe, post-enrichment, rep3 APEX2_L242F-ERM, omit p…
- GSM8159080 APEX2_L242F-ERM, Btn-An labeling, post-enrichment, rep1 APEX2_L242F-ERM, Btn-An…
- GSM8159081 APEX2_L242F-ERM, Btn-An labeling, post-enrichment, rep2 APEX2_L242F-ERM, Btn-An…
- GSM8159082 APEX2_L242F-ERM, Btn-An labeling, post-enrichment, rep3 APEX2_L242F-ERM, Btn-An…
- GSM8159083 APEX2_L242F-ERM, Btn-An labeling, pre-enrichment, rep1 APEX2_L242F-ERM, Btn-An…
- GSM8159084 APEX2_L242F-ERM, Btn-An labeling, pre-enrichment, rep2 APEX2_L242F-ERM, Btn-An…
- GSM8159085 APEX2_L242F-ERM, Btn-An labeling, pre-enrichment, rep3 APEX2_L242F-ERM, Btn-An…
- GSM9468935 APEX2-NES, Btn-Ph labeling, post-enrichment, rep1 APEX2-NES, Btn-Ph label…
- GSM9468936 APEX2-NES, Btn-Ph labeling, post-enrichment, rep2 APEX2-NES, Btn-Ph label…
- GSM9468937 APEX2-NES, Btn-Ph labeling, post-enrichment, rep3 APEX2-NES, Btn-Ph label…
- GSM9468938 APEX2-NES, Btn-Ph labeling, pre-enrichment, rep1 APEX2-NES, Btn-Ph label…
- GSM9468939 APEX2-NES, Btn-Ph labeling, pre-enrichment, rep2 APEX2-NES, Btn-Ph label…
- GSM9468940 APEX2-NES, Btn-Ph labeling, pre-enrichment, rep3 APEX2-NES, Btn-Ph label…
- GSM9468941 APEX2-ERM, omit probe, post-enrichment, rep1 APEX2-ERM, omit probe, …
- GSM9468942 APEX2-ERM, omit probe, post-enrichment, rep2 APEX2-ERM, omit probe, …
- GSM9468943 APEX2-ERM, omit probe, post-enrichment, rep3 APEX2-ERM, omit probe, …
- GSM9468944 APEX2-ERM, Btn-Ph labeling, post-enrichment, rep1 APEX2-ERM, Btn-Ph label…
- GSM9468945 APEX2-ERM, Btn-Ph labeling, post-enrichment, rep2 APEX2-ERM, Btn-Ph label…
- GSM9468946 APEX2-ERM, Btn-Ph labeling, post-enrichment, rep3 APEX2-ERM, Btn-Ph label…
- GSM9468947 APEX2-ERM, Btn-Ph labeling, pre-enrichment, rep1 APEX2-ERM, Btn-Ph label…
- GSM9468948 APEX2-ERM, Btn-Ph labeling, pre-enrichment, rep2 APEX2-ERM, Btn-Ph label…
- GSM9468949 APEX2-ERM, Btn-Ph labeling, pre-enrichment, rep3 APEX2-ERM, Btn-Ph label…
- GSM9468950 APEX2_L242F-NES, Btn-An labeling, pre-enrichment, rep1 APEX2_L242F-NES, Btn-An…
- GSM9468951 APEX2_L242F-NES, Btn-An labeling, pre-enrichment, rep2 APEX2_L242F-NES, Btn-An…
- GSM9468952 APEX2_L242F-NES, Btn-An labeling, pre-enrichment, rep3 APEX2_L242F-NES, Btn-An…
- GSM9468953 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, post-enrichment, rep1 BIRC5-APEX2_L242F-EGFP,…
- GSM9468954 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, post-enrichment, rep2 BIRC5-APEX2_L242F-EGFP,…
- GSM9468955 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, post-enrichment, rep3 BIRC5-APEX2_L242F-EGFP,…
- GSM9468956 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, post-enrichment, rep4 BIRC5-APEX2_L242F-EGFP,…
- GSM9468957 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, pre-enrichment, rep1 BIRC5-APEX2_L242F-EGFP,…
- GSM9468958 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, pre-enrichment, rep2 BIRC5-APEX2_L242F-EGFP,…
- GSM9468959 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, pre-enrichment, rep3 BIRC5-APEX2_L242F-EGFP,…
- GSM9468960 BIRC5-APEX2_L242F-EGFP, Btn-An labeling, pre-enrichment, rep4 BIRC5-APEX2_L242F-EGFP,…
- GSM9468961 BIRC5-APEX2_L242F-EGFP, omit H2O2, post-enrichment, rep1 BIRC5-APEX2_L242F-EGFP,…
- GSM9468962 BIRC5-APEX2_L242F-EGFP, omit H2O2, post-enrichment, rep2 BIRC5-APEX2_L242F-EGFP,…
+ 14 more — browse all 54 samples with per-sample file links →
- GSE316735 Directed Evolution of Enzymes for Bioorthogonal Chemistry Using Acid Chloride Proximity Labeling 16 samples shares evolution, directed, labeling
- GSE337988 Joint analysis of multiply perturbed cells improves statistical power and cost efficiency in Perturb-seq screens 48 samples shares efficiency, improves
- GSE286924 Evolution of the human autopod skeleton [Human RNA-seq] 480 samples shares evolution
- GSE290074 Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans [Human] 297 samples shares evolution
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares evolution
- GSE297329 Evolution of SARS-CoV-2 T cell responses as a function of multiple COVID-19 boosters 98 samples shares evolution
- GSE246485 UPF1 ATPase autoinhibition and activation modulate RNA binding kinetics and NMD efficiency 96 samples shares efficiency
- GSE302273 The evolution and heterogeneity of lethal metastatic bladder cancer subtypes 89 samples shares evolution
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.