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. 2022 Sep 29;185(20):3789–3806.e17. doi: 10.1016/j.cell.2022.09.005
REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies

Mouse monoclonal anti-1-3 β-glucan abcam Cat#ab233743; RRID: AB_2923478
Rabbit polyclonal anti-Aspergillus abcam Cat#ab20419; RRID: AB_445571
Mouse monoclonal anti-CD45 Thermo Fisher Scientific Cat# 14-0459-82; RRID: AB_467274
Mouse monoclonal anti-CD68 Thermo Fisher Scientific Cat# MA5-12407; RRID: AB_10979558

Biological samples

Ovarian cancer TMA US Biomax Cat#OV8010a
Melanoma TMA US Biomax Cat#ME804a
Lung cancer TMA US Biomax Cat#LC819a
Lung cancer TMA US Biomax Cat#LC813b
Breast cancer TMA US Biomax Cat#BR1191
Breast cancer TMA US Biomax Cat#BC08118a
Pancreatic cancer TMA US Biomax Cat#PA961f
Pancreatic cancer TMA US Biomax Cat#PA804b
Fungus 4-Tissue Artificial TMA Aspergillus, Candida, Histoplasma and Negative Control BioSB Cat#BSB-0335-CS
The resource of the WIS samples cohort was constructed at the Weizmann Institute of Science. All details are in Table S3. Nejman et al., 2020 N/A

Critical commercial assays

Phusion Hot Start II DNA Polymerase Thermo Fisher Scientific Cat# F549L
Qiaquick PCR purification kit Qiagen Cat#28104
Agencourt AMPure XP beads Beckman Coulter Cat#A63881
MiSeq Reagent Kit v3 (600-cycle) Illumina Cat#MS-102-3003
KAPA SYBR FAST qPCR Master Mix (2X) ABI Prism Kapa Biosystems Cat#KK4605
Gomori Methenamine-Silver (GMS) Nitrate Stain Kit abcam Cat#ab150671
Bond polymer refine detection kit Leica Biosystems Cat#DS9800
BOND epitope retrieval solution 1 Leica Biosystems Cat#AR9961

Deposited data

Raw data from WIS cohort This paper PRJNA786764

Datasets

TCGA CIBERSORT immune cell abundances and linked survival data Thorsson et al., 2018 Table S1
TCGA WGS and RNA-Seq raw data and metadata (processed and/or downloaded from Cancer Genomics Cloud) Lau et al., 2017 Cancer Genomics Cloud
Hopkins plasma WGS raw data Cristiano et al., 2019 EGAD00001005339
UCSD plasma WGS raw data Poore et al., 2020 ENA: ERP119598 (HIV-negative controls); ERP119596 (prostate cancer); ERP119597 (lung cancer and melanoma)

Experimental models: Cell lines

HS-5 human fibroblast cell line ATCC Cat# CRL-11882

Oligonucleotides

Forward primer for 1st ITS2 PCR: ITS86F 5’-GTGAATCATCGAATCTTTGAA-3’ Turenne et al., 1999 N/A
Reverse primer for 1st ITS2 PCR: ITS4+rd2 Illumina adaptor 5’-AGACGTGTGCTCTTCCGATCT - TCCTCCGCTTATTGATATGC-3’ ITS4 from White et al., (1990) N/A
Forward primer for 2nd ITS2 PCR: P5-rd1-ITS86F 5’ - AATGATACGGCGACCACCGAGATCT - ACACTCTTTCCCTACACGACGCTCTTCCGATCT - GTGAATCATCGAATCTTTGAA-3’ ITS86F from Turenne et al., (1999) N/A
Reverse primer for 2nd ITS2 PCR: 5’- CAAGCAGAAGACGGCATACGAGAT - NNNNNNNN - GTGACTGGAGTTCAGAC
GTGTGCTCTTCCGATCT-3’
Nejman et al., 2020 N/A
Forward primer for 5.8S qPCR: ITS3 - 5’-GCATCGATGAAGAACGCAGC-3’ White et al., 1990 N/A
Reverse primer for 5.8S qPCR: ITS86R - 5’- TTCAAAGATTCGATGATTCAC-3’ Turenne et al., 1999 N/A
Probe for 28S fungal FISH: D-205: 5’- ATTCCCAAACAACTCGAC-3’ Inácio et al., 2003 N/A
Probe for 28S fungal FISH: D-223: 5’-CCACCCACTTAGAGCTGC-3’ Inácio et al., 2003 N/A
Probe for 28S fungal FISH: D-260: 5’-TCGGTCTCTCGCCAATATT-3’ Inácio et al., 2003 N/A

Software and algorithms

Python version 3.6 Python Software Foundation https://www.python.org/
Qiita cloud-enabled microbiome analyses Gonzalez et al., 2018 https://qiita.ucsd.edu/
Woltka alignment-based taxonomy classification (used by Qiita) Zhu et al., 2022 https://github.com/qiyunzhu/woltka
ITS2 classification pipeline This paper https://github.com/microbiofunc/ITS2-pipeline
Dockerized host depletion pipeline This paper https://github.com/knightlab-analyses/mycobiome/tree/master/Docker_host_depletion_pipeline
Per-sample and aggregate genome coverage Hakim et al., 2022 https://github.com/ucsd-cmi/zebra_filter
MMvec co-occurrence analyses Morton et al., 2019a https://github.com/biocore/mmvec
Robust Aitchison beta diversity Martino et al., 2019 https://github.com/biocore/DEICODE
EMPeror PCoA visualizer Vázquez-Baeza et al., 2013 https://github.com/biocore/emperor
EukDetect Lind and Pollard, 2021 https://github.com/allind/EukDetect
metaSPAdes 3.13.1 Nurk et al., 2017 https://github.com/ablab/spades
MaxBin2 2.2.4 Wu et al., 2016 https://sourceforge.net/projects/maxbin2/
MetaBAT2 2.12.1 Kang et al., 2019 https://bitbucket.org/berkeleylab/metabat
Concoct 1.0.0 Alneberg et al., 2014 https://github.com/BinPro/CONCOCT
BowTie2 2.2.3 Langmead and Salzberg, 2012 https://github.com/BenLangmead/bowtie2
SAMtools 0.1.19 Li et al., 2009 https://github.com/samtools/samtools
metaWRAP 1.1.2) Uritskiy et al., 2018 https://github.com/bxlab/metaWRAP
CheckM (v. 1.0.13) Parks et al., 2015 https://github.com/Ecogenomics/CheckM
EukCC Saary et al., 2020 https://github.com/Finn-Lab/EukCC
BUSCO v5.1.2 Simão et al., 2015 https://busco.ezlab.org/
Mfannot N/A https://github.com/BFL-lab/Mfannot
PEAR version 0.9.10 Zhang et al., 2014 https://cme.h-its.org/exelixis/web/software/pear/
cutadapt version 1.17 Martin, 2011 https://cutadapt.readthedocs.io/en/v1.17/
QIIME 2 version 2018.8 Bolyen et al., 2019 https://qiime2.org/
ITSx version 1.1b1 (Bengtsson-Palme and Ryberg, 2013 https://microbiology.se/software/itsx/
R version 4.03 R CRAN www.r-project.org
phyloseq 1.34.0 McMurdie and Holmes, 2013 https://bioconductor.org/packages/release/bioc/html/phyloseq.html
caret 6.0-90 Kuhn, 2008 https://topepo.github.io/caret/
PRROC 1.3.1 Grau et al., 2015 https://cran.r-project.org/web/packages/PRROC/index.html
gbm 2.1.8 Ridgeway, 2007 https://cran.r-project.org/web/packages/gbm/gbm.pdf
xgboost 1.5.0.1 Chen et al., 2015 https://xgboost.readthedocs.io/en/stable/R-package/xgboostPresentation.html
randomForest 4.6-14 Liaw and Wiener, 2002 https://cran.r-project.org/web/packages/randomForest/randomForest.pdf
ANCOM-BC 1.4.0 Lin and Peddada, 2020 https://github.com/FrederickHuangLin/ANCOMBC
decontam 1.14.0 Davis et al., 2018 https://github.com/benjjneb/decontam
limma-voom 3.50.0 Law et al., 2014 https://bioconductor.org/packages/release/bioc/html/limma.html
snm 1.42.0 Mecham et al., 2010 https://www.bioconductor.org/packages/release/bioc/html/snm.html
MATLAB version 2019b with the Statistics and Machine Learning Toolbox MathWorks https://www.mathworks.com
Cytoscape 3.8.1 Shannon et al., 2003 https://cytoscape.org/
UNITE database (version 8, dynamic, sh_taxonomy_qiime_ver8_dynamic_04.02.2020.txt) Nilsson et al., 2019 https://unite.ut.ee/repository.php
scikit-bio 0.5.6 N/A https://github.com/biocore/scikit-bio

Other

Pannoramic SCAN II automated slide scanner 3D HISTECH N/A