Services

Barracoda - 1.8

Analysing DNA barcode sequencing data


A tool for analysing DNA barcode sequencing data.

Andrea M. Marquard and Aron C. Eklund

Submission

Sequencing data

Submit FASTA/FASTQ file:   

Barcode information

For each tag within the barcode, either submit a FASTA file of expected sequences, or paste the sequence if there is only one, or type the expected base pair length if the sequence is unknown.
Orientation: Sequences should be oriented according to the orientation of the individual A- and B-oligos before annealing. Ie., B-sequences should be the reverse complement of what is expected in the sequencing reads.

Sample identification tag     (select FASTA file)
Forward primer A (paste sequence)
N sequence (type length of tag)
Epitope tag A (select FASTA file)
Annealing region (paste sequence)
Epitope tag B (select FASTA file)
N sequence (type length of tag)
Forward primer B (paste sequence)

Sample identification

Upload a tab-delimited file of paired sequence IDs (1st column) and sample names (2nd column). The file should contain no headers.
The sequence IDs should be the same as those found in the Sample identification tag FASTA file uploaded above.
Leave sample name blank for unused sequence tags, and make sure to use identical names for replicates.

Sample identification table   

Barcode annotations

Upload a file with annotations for the barcodes. If your fastq file contains multiple experiments with different annotation files, use an Excel workbook and add the annotations as different sheets (read more). There should be a column with MHC allele details.
***NEW!*** Log fold change and p-values are now automatically calculated for full libraries and for MHC alleles individually.

Barcode annotations   

Barcode plate setup (optional)

Upload an excel file with the experimental plate setup of the barcodes. Include as many plates as possible (also if you didn't use them), to make sure you detect any cross-plate contamination.

Barcode plate setups   


Instructions

1. Sequencing data

Upload a FASTQ (or FASTA) file with the raw sequencing reads.

2. Barcode information

  • Sample identification tag:
    Upload a FASTA file with the sequences of the sample identification tags. The names of each sequence should correspond to the keys in the 3. Sample identification table.

  • Forward primer A:
    Paste the sequence of the forward primer from Oligo-A.

  • N sequence:
    Give an integer specifying the length of the first UMI (unique molecular identifier).

  • Epitope tag A:
    Upload a FASTA file with sequences of the 25mer oligonucleotide sequence from Oligo A.
    The names of the FASTA entries must not include any spaces, and they must include "_Axx" at the end, where "xx" is an id number.
    Example:
    	>Oligo_A1
	CGAGGGCAATGGTTAACTGACACGT
	>Oligo_A2
	CAGAAAGCAGTCTCGTCGGTTCGAA
    Note that Barracoda also works for barcode designs that user other lengths than 25.

  • Annealing region:
    Paste the sequence of the annealing region.

  • Epitope tag B:
    Upload a FASTA file with sequences of the 25mer oligonucleotide sequence from Oligo B.
    The sequences should be from reverse strand and orientation compared to the Oligo A sequences.
    The names of the FASTA entries must not include any spaces, and they must include "_Byy" at the end, where "yy" is an id number.
    Example:
    	>Oligo_B1
	GCCTGTAGTCCCACGCGATCTAACA
	>Oligo_B2
	CAACCATTGATTGGGGACAACTGGG
    Note that Barracoda also works for barcode designs that user other lengths than 25.

  • N sequence:
    Give an integer specifying the length of the second UMI (unique molecular identifier).

  • Forward primer B:
    Paste the sequence of the reverse primer from Oligo-B. The sequence should be from reverse strand and orientation compared to the Primer A sequence.

3. Sample identification

Upload a tab-delimited file (with no headers), where each row is of the format:
	<key> <tab> <sample name> <tab> <experiment>
Example:
	A-Key_2OS_F1_01	sampleA	1
	A-Key_2OS_F1_02	sampleB	1
	A-Key_2OS_F1_03	sampleX	2
	A-Key_2OS_F1_04	sampleY	2
	A-Key_2OS_F1_05	input	1
	A-Key_2OS_F1_06	input	1
	A-Key_2OS_F1_07	input	2
	A-Key_2OS_F1_08	input	2
  • Importantly, key should match the sequence names in the FASTA file uploaded in the field sample identification tag.
  • Equally important, the sample name field should be "input" (all non-capital letters) for those samples that are used for controls.
  • The sample name field will be used to annotate results and figures.
  • The experiment field is used to denote that the data should be treated as multiple experiments. The samples will be analysed in the groups defined by experiment. In the above example there are two experiments: sample A and B will be analysed together with the two first input samples. Sample X and Y will be analysed together with the two last input samples.
    If all samples are to be analysed as one experiment, this field should simply contain the same value in all the rows (eg. "1").

4. Barcode annotations

Upload a tab-delimited file with user-specified annotations for the DNA barcodes. The file should have headers, but there are no specific requirements for the headers.
 Example:
	Barcode	HLA allele	Peptide	Sequence
	A7B1	HLA-A0201	707-AP	RVAALARDAP
	A7B2	HLA-A0201	ATIC (AICRT)	RLDFNLIRV
	A7B3	HLA-A0201	ATIC (AICRT)	MVYDLYKTL

5. Barcode plate setups (optional)

Optionally, upload an excel file that describes how the DNA barcodes were layed out on 384-well plates in the experimental setup. This will be used to make figures of your results, where the values (read counts, log fold change, p-values) are layed out on a heatmap-type plot to mimic the 384-well plate. This will hopefully aid in detecting experimental errors and biases, such as spill-over between wells, or mix-up of barcodes on the plates.
Example of excel sheet:

5. Submit the job

Click on the "Submit" button. The status of your job (either 'queued' or 'running') will be displayed and constantly updated until it terminates and the server output appears in the browser window.

At any time during the wait you may enter your e-mail address and simply leave the window. Your job will continue; you will be notified by e-mail when it has terminated. The e-mail message will contain the URL under which the results are stored; they will remain on the server for 24 hours for you to collect them.

Please cite

Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes

Amalie Kai Bentzen, Andrea Marion Marquard, Rikke Lyngaa, Sunil Kumar Saini, Sofie Ramskov, Marco Donia, Lina Such, Andrew J S Furness, Nicholas McGranahan, Rachel Rosenthal, Per thor Straten, Zoltan Szallasi, Inge Marie Svane, Charles Swanton, Sergio A Quezada, Søren Nyboe Jakobsen, Aron Charles Eklund & Sine Reker Hadrup

https://www.ncbi.nlm.nih.gov/pubmed/27571370

Abstract

Identification of the peptides recognized by individual T cells is important for understanding and treating immune-related diseases. Current cytometry-based approaches are limited to the simultaneous screening of 10-100 distinct T-cell specificities in one sample. Here we use peptide-major histocompatibility complex (MHC) multimers labeled with individual DNA barcodes to screen >1,000 peptide specificities in a single sample, and detect low-frequency CD8 T cells specific for virus- or cancer-restricted antigens. When analyzing T-cell recognition of shared melanoma antigens before and after adoptive cell therapy in melanoma patients, we observe a greater number of melanoma-specific T-cell populations compared with cytometry-based approaches. Furthermore, we detect neoepitope-specific T cells in tumor-infiltrating lymphocytes and peripheral blood from patients with non-small cell lung cancer. Barcode-labeled pMHC multimers enable the combination of functional T-cell analysis with large-scale epitope recognition profiling for the characterization of T-cell recognition in various diseases, including in small clinical samples.

GETTING HELP

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