Editing
Matt:LabNotes/exonProbeDesign
Jump to navigation
Jump to search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
==Finding constitutive exon target regions from gene list== 1) Start with a list of genes of interest with Entrez IDs and Official Gene Symbols 2) Use Ensembl's Biomart on Entrez ID list and output to TSV file Settings: *Dataset **Homo sapiens genes (GRCh37.p8) *Filters **EntrezGene ID(s) [e.g. 100287163]: [ID-list specified] **Status (transcript) : KNOWN *Attributes **Ensembl Gene ID **Ensembl Transcript ID **Exon Chr Start (bp) **Exon Chr End (bp) **Ensembl Exon ID **Exon Rank in Transcript **Constitutive Exon **Associated Gene Name **Strand **Gene Start (bp) **Gene End (bp) **Transcript count **Chromosome Name 3) Insert Entrez IDs into column 13 of Biomart output *may need to use Biomart again with Attributes: Ensembl Gene ID, Ensembl Transcript ID, and EntrezGene ID and then Excel to VLOOKUP Entrez with Gene ID 4) Use [[Media:original5kgenes.xlsx|original gene list]] and [[Media:biomartExample.txt|edited Biomart output]] to run [[Media:ConstitutiveExonFinder.txt|ConstitutiveExonFinder.pl]] (If chromosome and strand info available, they are used for checking that genes from the two input files match. If gene start/stop info available, they are used to set boundaries of target region. Only Symbol and Entrez ID are required to run and all other columns can be set to NA and run with [[Media:ConstitutiveExonFinder_entrezOnly.txt|ConstitutiveExonFinder_entrezOnly.pl]].) *Finds the 5 regions with the most number of transcript overlaps *Conditions for finding regions: **Region must be greater than $minLength (default 100bp), which can be set in first line of code **Region must not have save start/end index as a previously found region (to prevent picking the same exon 5 times) 5) Remove Blank Lines and Duplicates *Something about Biomart can create duplicates and blank lines sometimes, run [[Media:RemoveBlankLinesandDuplicates.txt|RemoveBlankLinesandDuplicates.pl]] to clean up file if needed *If gene is duplicated with one corresponding to normal chromosome and the other to an assembly patch, assembly patch regions are removed *For assembly patches that aren't duplicates, they are changed to chromosome number (e.g. HSCHR5_1_CTG1 is changed to Chr5) 6) Find missing genes in target file *Biomart sometimes misses genes from input *Run FindMissingGenes.pl to identify missing genes and repeat biomart and ConstitutiveExonFinder.pl for those genes and add onto end of target file 7) Sort target regions into separate files by chromosome number and remove 25 bp from each end with [[Media:sortTargetFilesByChr.txt|sortTargetFilesByChr.pl]] *MUST FIRST: #manually remove columns: Entrez ID, Overlap, and Transcript Ratio and move Strand column to end #Turn ExonEnd values from negative to positive values #Add 'chr' in front of Chromsome number (e.g. 18 -> chr18) *Final column order should look like: GeneSymbol_# Chr ExonStart ExonEnd Strand *Remove 25bp from each end because 25bp is the max length of probe arm and this avoid the probe annealing to a splice junction *These are the target files for ppDesigner ==Running ppDesigner== Parameters: probe_parameters.pl *$primerMaxTm = 65 *$primerMinTm = 55 *$flankingLn = 25 jobFile.pl *$primerMaxLen = 25 *$primerMinLen = 20 *$H1_plus_H2_Len = 50 *$H2OptLen = 22 *$H1OptLen = 22 If gap size is 20 *$targetMinLen = 20 *$targetMaxLen = 20 If gap size is 0 :*for probes of gap size 0, add the single base gap to the left probe arm using [[Media:ConvertToZeroGapProbe.txt|ConvertToZeroGapProbe.pl]] *$targetMinLen = 1 *$targetMaxLen = 1 ==Generated Probes Summary== ===Original 5k genes=== Verification of random probes from ppDesigner output file: [[Media:VerifyingppDesignerOutput.docx|Matching of output probes to mRNA sequence]] ===For the 86 stem genes that were missing from the original probe results=== #got cDNA sequences from biomart #designed probes for these transcripts (903 total, some genes had as many as 39 transcripts, average was 10) *Note: These two gene names correspond to same gene, there may be others **PPPDE2 -> DESI1 **SIP1 -> GEMIN2 *if multiple transcripts, designed probes for each one naming them v1, v2, etc '''Result:''' ~2,800 0gap probes and ~3,000 20gap probes
Summary:
Please note that all contributions to ZhangLabWiki may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
ZhangLabWiki:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Navigation menu
Personal tools
Not logged in
Talk
Contributions
Create account
Log in
Namespaces
Page
Discussion
English
Views
Read
Edit
View history
More
Search
Navigation
Main Page
Current events
Recent changes
Random page
Investigators
Matt Cai
Song Chen
Eric Chu
Dinh Diep
Elizabeth Duong
Shicheng Guo
Alan Fung
Daniel Jacobsen
Blue Lake
Huy Lam
Alice Li
Andrew Richards
Brandon Sos
Chris Wei
Yan Wu
Kun Zhang
Tools
What links here
Related changes
Special pages
Page information