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DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay.

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  1. [1] § STAR★METHODS › METHOD DETAILS › ARTR-seq analysis ↔ bash_script.sh, lines 1–62 · score 0.56 · rRNA, STAR, Bowtie2, Cutadapt, hg38, trimmed

Paper

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The authors' code

Shell · 122 lines · 4.4 KB · no license · 1 match

  1. #!/bin/bash
  2. ### this script is modified from https://github.com/mingming-cgz/ARTR-seq/
  3. ## trimming
  4. # {}_R1_001.fastq.gz & {}_R2_001.fastq.gz as raw PE reads
  5. ls *_R1_001.fastq.gz \
  6. | awk -F "_R1_001.fastq.gz" '{print $1}' \
  7. | sort -u \
  8. | parallel "cutadapt -j $n_threads --nextseq-trim=20 --action=trim \
  9. -a AGATCGGAAGAGCACACGTCTGAACTCCAG \
  10. -A AGATCGGAAGAGCGTCGTGTAGGGAAAGAG \
  11. -o {}_R1_001.trim.fastq.gz -p {}_R2_001.trim.fastq.gz {}_R1_001.fastq.gz {}_R2_001.fastq.gz"
  12. ## extracting umi
  13. ls *_R1_001.trim.fastq.gz \
  14. | awk -F "_R1_001.trim.fastq.gz" '{print $1}' \
  15. | sort -u \
  16. | parallel "cutadapt -j $n_threads -q 20 -m 20 --action=trim \
  17. -u 8 -u -4 -U -8 -U 4 \
  18. --rename='{id}_{r1.cut_prefix} {comment}' \
  19. -o {}_R1_001.trimMI.fastq.gz -p {}_R2_001.trimMI.fastq.gz {}_R1_001.trim.fastq.gz {}_R2_001.trim.fastq.gz"
  20. ## mapping to rRNA using bowtie2
  21. total_files=`find -name '*.gz' | wc -l`
  22. arr=( $(ls *.gz) )
  23. for ((i=0; i<$total_files; i+=2))
  24. {
  25. sample_name=$(echo ${arr[$i]} | sed 's/_R[12].*//')
  26. echo "[bowtie2 mapping running for sample] $sample_name"
  27. date && time bowtie2 --threads $n_threads --seedlen=15 \
  28. -x hg38_rRNA \
  29. -1 ${arr[$i]} -2 ${arr[$i+1]} \
  30. --un-conc-gz ${sample_name}_norRNA
  31. printf "\n\n"
  32. } > /dev/null
  33. ## re-mapping norRNA reads using STAR
  34. for r1_file in *_R1.fastq.gz; do
  35. r2_file="${r1_file/_R1.fastq.gz/_R2.fastq.gz}"
  36. sample_name=$(basename "$r1_file" | sed 's/_R1.fastq.gz//')
  37. output_dir="STAR/${sample_name}"
  38. mkdir -p "$output_dir"
  39. STAR --runMode alignReads --runThreadN $n_threads \
  40. --readFilesCommand zcat \
  41. --genomeDir refgenome/GRCh38 \
  42. --alignEndsType EndToEnd \
  43. --genomeLoad NoSharedMemory \
  44. --quantMode TranscriptomeSAM \
  45. --alignMatesGapMax 15000 \
  46. --readFilesIn "$r1_file" "$r2_file" \
  47. --outFileNamePrefix "${output_dir}/" \
  48. --outFilterMultimapNmax 1 \
  49. --outSAMattributes All \
  50. --outSAMtype BAM SortedByCoordinate \
  51. --outFilterType BySJout \
  52. --outReadsUnmapped Fastx \
  53. --outFilterScoreMin 10 \
  54. --outFilterMatchNmin 24 \
  55. > "${output_dir}/STAR_log.txt" 2>&1
  56. done
  57. ## dedup using UMItools
  58. ls *.bam | parallel samtools index -@ $n_threads '{}'
  59. find . -name "*.sortedByCoord.out.bam" | parallel -j $n_threads ' \
  60. filename=$(basename {} .sortedByCoord.out.bam); \
  61. umi_tools dedup --method unique \
  62. -I {} \
  63. --output-stats=${filename}_dedup \
  64. -L ${filename}_umitools.log \
  65. --temp-dir=dedup_temp \
  66. -S ${filename}.sort.dedup.bam'
  67. ## splitting strands
  68. for file in *_L001_norRNA_Aligned.sort.dedup.bam
  69. do filename="${file%%.*}"
  70. samtools view -@ $n_threads -f 16 $file -b -o ${filename}.sort.dedup.reverse.bam
  71. samtools view -@ $n_threads -F 16 $file -b -o ${filename}.sort.dedup.forward.bam
  72. done
  73. ls *.bam | parallel samtools index -@ $n_threads '{}'
  74. ## call peaks using macs3: do fwd and rev seperately
  75. macs3 callpeak --treatment IP_1.bam IP_2.bam IP_3.bam\
  76. --control Input_1.bam Input_2.bam Input_3.bam\
  77. -f BAM -n $sample_name -g hs -B \
  78. --keep-dup all \
  79. --nomodel --extsize 30
  80. ## combine peaks
  81. for fwd_file in *_fwd_peaks.narrowPeak; do
  82. # Derive the sample name by removing the "_fwd_peaks.narrowPeak" suffix
  83. sample_name="${fwd_file%_fwd_peaks.narrowPeak}"
  84. # Find the corresponding reverse file
  85. rev_file="${sample_name}_rev_peaks.narrowPeak"
  86. # Check if the reverse file exists
  87. if [[ -f "$rev_file" ]]; then
  88. # Combine forward and reverse files
  89. combined_file="${sample_name}_combined_peaks.narrowPeak"
  90. echo "Combining $fwd_file and $rev_file into $combined_file"
  91. # Annotate strands and combine
  92. awk 'BEGIN{FS="\t"; OFS="\t"} {$6 = "+"; print $0}' "$fwd_file" > "$combined_file"
  93. awk 'BEGIN{FS="\t"; OFS="\t"} {$6 = "-"; print $0}' "$rev_file" >> "$combined_file"
  94. else
  95. echo "Warning: Reverse file for $sample_name not found"
  96. fi
  97. done
  98. ## making a ref peak saf file
  99. cat *.narrowPeak > all_peaks.narrowPeak
  100. sort -k1,1 -k2,2n -k6,6 all_peaks.narrowPeak > all_peaks_sorted.narrowPeak
  101. bedtools merge -i all_peaks_sorted.narrowPeak -s -c 6 -o distinct > all_peaks_merged.bed
  102. awk 'BEGIN { OFS="\t"; print "GeneID", "Chr", "Start", "End", "Strand" }
  103. { print "Peak" NR, $1, $2, $3, $4 }' all_peaks_merged.bed > all_peaks_merged.saf
  104. ## count peaks using subread
  105. featureCounts -F SAF -a all_peaks_merged.saf -o peak_counts_s1.txt -s 1 -T $n_threads -p -B -C *.bam
  106. featureCounts -F SAF -a all_peaks_merged.saf -o peak_counts_s2.txt -s 2 -T $n_threads -p -B -C *.bam

bash_script.sh at commit ad2756b, no license · at the source

Overview

Authors: Yingzhi Ye1,2,3,4, Zhe Zhang1,2,4, Yu Xiao5,6, Chengzhang Zhu1,2,7, Noelle Wright1,2,3, Julie Asbury1,2, Yongxin Huang1,2,3, Weiren Wang1,2, Laura Gomez-Isaza8, Juan C. Troncoso8, Chuan He5,6,9, Shuying Sun1,2,8,10,11
  1. Department of Physiology, Pharmacology & Therapeutics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  2. Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  3. Cellular and Molecular Physiology Graduate Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  4. This authors contributed equally
  5. Department of Chemistry and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA
  6. Howard Hughes Medical Institute, Chicago, IL 60637, USA
  7. Cellular and Molecular Medicine Graduate Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  8. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  9. Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
  10. The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
  11. Lead contact
Institutions: Johns Hopkins University (United States); Johns Hopkins Medicine (United States); Howard Hughes Medical Institute (United States); University of Chicago (United States)
Journal: Neuron, volume 114, issue 11, pages 1970-1985.e12
Dates: published online 9 March 2026; in print 3 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.neuron.2026.01.018 · PMID 41943580 · PMCID PMC13058276 · OpenAlex W7134254437
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), other condition (population), Alzheimer's / dementia (population), cellular / molecular (subfield)
Methods: Statistics, Evoked potentials, Smoothing, state filtering, decompositions
Keywords: Neurodegeneration, ALS, Tdp-43, Ftd, Rna Decay, Dcps, P-body
MeSH: DNA-Binding Proteins*, Endoribonucleases*, Neurodegenerative Diseases*, Processing Bodies*, RNA Stability*, Amyotrophic Lateral Sclerosis, Animals, Humans, Neurons, RNA, Messenger (* major topic)
Topic: Amyotrophic Lateral Sclerosis Research (Neurology, Medicine), according to OpenAlex
Funding: National Institute on Aging; NHGRI NIH HHS (RM1 HG008935); Johns Hopkins University Robert Packard Center for ALS Research; NINDS NIH HHS (R01 NS127925, RF1 NS113820); NIA NIH HHS (R01 AG078948); National Institute of Neurological Disorders and Stroke
Citations: cited by 3 papers (Europe PMC); 105 references in the paper
Research resources: Rabbit anti-FLAG RRID:AB_11232216, Rabbit anti-EDC4 RRID:AB_1268717, Rabbit anti-HA RRID:AB_1549585, Rabbit anti-Cleaved-Caspase-3 RRID:AB_2070042, Rabbit anti-EDC3 RRID:AB_2095946, Rabbit anti-DCP2 RRID:AB_2230386, Chicken anti-MAP2 RRID:AB_2492335, RRID:AB_2534069, RRID:AB_2534071, RRID:AB_2534077, Mouse anti-puromycin RRID:AB_2566826, RRID:AB_2576217, Mouse anti-FLAG RRID:AB_262044, Rabbit anti-NeuN RRID:AB_2630395, Rabbit anti-MAP2 RRID:AB_2722660, RRID:AB_2762845, Rabbit anti-DCP2 RRID:AB_2899738, Mouse anti-m7G-cap RRID:AB_2921296, Mouse anti-PSD-95 RRID:AB_303248, Mouse anti-TDP-43 phospho-Ser409/410 RRID:AB_3251193, Mouse anti-G3BP1 RRID:AB_398437, Mouse anti-TDP-43 RRID:AB_425904, Rabbit anti-GAPDH RRID:AB_561053, Rabbit anti-TDP-43 RRID:AB_615042, Mouse anti-HuR RRID:AB_627770, RRID:AB_772206, RRID:AB_772210, Plasmid: pLKO.1-control shRNA RRID:Addgene_10879, Plasmid: pMDLg/pRRE RRID:Addgene_12251, Plasmid: pRSV-Rev RRID:Addgene_12253, Plasmid: pMD2.G RRID:Addgene_12259, Plasmid: pT7-EGFP-C1-HsDCP2 RRID:Addgene_25031, HEK293T RRID:CVCL_0063, CS0594iCTR RRID:CVCL_YB28, RStudio RRID:SCR_000432, Fiji image processing package RRID:SCR_002285, GraphPad Prism RRID:SCR_002798, STAR (version 2.7.9a) RRID:SCR_004463, Subread (version 2.0.1) RRID:SCR_009803, Integrative Genomics Viewer (IGV) RRID:SCR_011793, Cutadapt (version 5.0) RRID:SCR_011841, Trim Galore (version 0.6.7) RRID:SCR_011847, MACS (version 3.0.2) RRID:SCR_013291, GENCODE (version 38) RRID:SCR_014966, HISAT2 (version 2.2.1) RRID:SCR_015530, DESeq2 (version 1.40.2) RRID:SCR_015687, Deeptools (version 3.5.1) RRID:SCR_016366, Bowtie2 (version 2.3.5.1) RRID:SCR_016368, clusterProfiler (version 4.8.3) RRID:SCR_016884, UMI-tools (version 1.1.6) RRID:SCR_017048, ChIPseeker (version 1.36.0) RRID:SCR_021322, rMATS (version 4.1.1) RRID:SCR_023485

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repositories

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

yye24/jhu2025

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: ad2756b0fa50d4c7e946bdc32621e82fde132bd4, 11 June 2025
Languages: R (1), Shell (1)
Size: 2 files, 2 scripts
Software Heritage: not archived
Found in: “Data and code availability”
Holds: 1 notebook
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: BEDTools (1 file), clusterProfiler (1 file), DESeq2 (1 file), SAMtools (1 file), STAR (1 file), Subread (featureCounts) (1 file), tidyverse (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
2 files

mingming-cgz/artr-seq

License: MIT
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: 0571741f0f14ea1939ff7573d81e531ca33aa918, 29 August 2023
Languages: Shell (4)
Size: 6 files, 4 scripts
Software Heritage: not archived
Found in: the text, “ARTR-seq analysis”
Holds: README, license file
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Tools: SAMtools (1 file), STAR (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
6 files

The paper's code and data availability statement is in the Data section.

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What the map holds:

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  • 6 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it points to the authors' code: yye24/jhu2025
  • it says that the data are available on request
  • it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.neuron.2026.01.018.

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 12 authors, 7 keywords, 10 MeSH terms, 6 funders, 104 references, 52 RRIDs.

Cite

This paper

Ye, Y., Zhang, Z., Xiao, Y., Zhu, C., Wright, N., Asbury, J., Huang, Y., Wang, W., Gomez-Isaza, L., Troncoso, J. C., He, C., & Sun, S. (2026). DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay. Neuron, 114(11), 1970-1985.e12. https://doi.org/10.1016/j.neuron.2026.01.018

BibTeX

@article{ye2026dcps,
author = {Ye, Yingzhi and Zhang, Zhe and Xiao, Yu and Zhu, Chengzhang and Wright, Noelle and Asbury, Julie and Huang, Yongxin and Wang, Weiren and Gomez-Isaza, Laura and Troncoso, Juan C. and He, Chuan and Sun, Shuying},
title = {{DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay}},
journal = {Neuron},
year = {2026},
month = mar,
volume = {114},
number = {11},
pages = {1970--1985.e12},
publisher = {Cell Press},
issn = {0896-6273},
doi = {10.1016/j.neuron.2026.01.018},
url = {https://doi.org/10.1016/j.neuron.2026.01.018},
pmid = {41943580},
pmcid = {PMC13058276}
}

RIS

TY - JOUR
AU - Ye, Yingzhi
AU - Zhang, Zhe
AU - Xiao, Yu
AU - Zhu, Chengzhang
AU - Wright, Noelle
AU - Asbury, Julie
AU - Huang, Yongxin
AU - Wang, Weiren
AU - Gomez-Isaza, Laura
AU - Troncoso, Juan C.
AU - He, Chuan
AU - Sun, Shuying
TI - DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay
T2 - Neuron
J2 - Neuron
PY - 2026
DA - 2026/03/09
VL - 114
IS - 11
SP - 1970
EP - 1985.e12
SN - 0896-6273
PB - Cell Press
DO - 10.1016/j.neuron.2026.01.018
UR - https://doi.org/10.1016/j.neuron.2026.01.018
LA - en
ER -

CSL-JSON

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"id": "10.1016/j.neuron.2026.01.018",
"type": "article-journal",
"title": "DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay",
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"author": [
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"family": "Ye",
"given": "Yingzhi"
},
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"family": "Zhang",
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{
"family": "Xiao",
"given": "Yu"
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{
"family": "Wright",
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},
{
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{
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"container-title-short": "Neuron",
"volume": "114",
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"page": "1970-1985.e12",
"DOI": "10.1016/j.neuron.2026.01.018",
"PMID": "41943580",
"PMCID": "PMC13058276",
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