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. Author manuscript; available in PMC: 2023 Jul 13.
Published in final edited form as: Nat Protoc. 2022 Nov 16;18(2):396–423. doi: 10.1038/s41596-022-00766-8

Table 1.

Troubleshooting Table

Step Problem Possible reason Solution
Stage I
5 Error creating nucleotide encodings of peptides Non-standard amino acid letters or characters in the peptide sequences Look for ‘X’, ‘-’ or other non-standard amino acid characters in peptide sequences and remove them
Non-unique sequences in first 40 nt of multiple encodings Similar peptides can end up with identical nucleotide encodings for the first 40 nt, which is problematic if using a 75-cycle sequencing kit Request multiple (e.g., 10) encodings per peptide and select lower scoring encodings, as necessary, to ensure that all encodings are unique across the initial 40 nt
Stage II
23 MRP is not going into solution The pellet shape is not allowing for great interaction with the solvent Break up the pellet by gently pressing it against the tube wall to allow for increased interaction with the solvent
TE buffer has cooled down Heat the tube that the MRP and TE buffer is in at 37 °C at 5-min intervals
24 The MRP concentration cannot be read by Qubit Broad Range RNA The MRP concentration is too high Dilute the MRP product further before quantification (e.g., 1:800)
The MRP concentration is too low Repeating the concentration step with the MRP can often get the product to the >300 ng/μL threshold. Otherwise starting DDP at a higher concentration and synthesizing MRP again is necessary to proceed
55 Bead aggregation The prepared beads are old Prepare fresh beads for each capture
73 Faint or absent top band Capture was unsuccessful Redo capture steps by using supernatants from Step 67 and rerun the gel
Translation did not proceed as planned If the top band is still faint or absent on the second PTC gel (above), repeat the translation step
Stage IV
132 Low raw read counts for specific samples Loss of PepSeq library during antibody binding assay; uneven pooling of samples before sequencing Re-run samples that have low raw read counts. For very diverse libraries (e.g., 244,000 unique peptides), we recommend an average of ≥2× reads per peptide. For less diverse libraries (e.g., 15,000 unique peptides), we recommend an average of ≥10× reads per peptide
A high proportion of unobserved peptides (i.e., zero counts) Molecular bottleneck of PepSeq library during antibody-binding assay (i.e., loss of most of the PepSeq probes during processing) Re-run affected samples or replicates
136 Lack of correlation between Z scores of sample replicates Contamination; samples swapped or misnamed Re-run the replicates for samples for which Z scores do not correlate between replicates
137 The number of enriched peptides is unexpectedly high or low Incorrect highest density interval (HDI) setting for PepSIRF zscore module Adjust the HDI setting to ensure that true enriched peptides are excluded from the calculation of mean and standard deviation for each bin. Lower HDIs are appropriate for library/sample combinations that result in a larger proportion of enriched peptides
The Z score thresholds for the PepSIRF enrich module are not appropriately set Run the q2-ps-plot zenrich module to generate Z score enrichment plots to visualize multiple Z score thresholds and pick an appropriate threshold that includes only enriched peptides (i.e., visually distinct from the cluster of non-enriched peptides). For example, a Z score threshold of 10 would be appropriate for the assay shown in Fig. 5