| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| Anti-SARS-CoV-2 nucleoprotein monoclonal rabbit antibody | Sino Biological | Cat# 40143-R019; clone: 019; RRID:AB_2827973 |
| Anti-CD68 monoclonal mouse antibody | Ventana Medical Systems | Cat# 790-2931; clone: KP-1; RRID:AB_2335972 |
| Anti-CD163 monoclonal mouse antibody | Ventana Medical Systems | Cat# 760-4437; clone: MRQ-26; RRID:AB_2335969 |
| Anti-TTF1 monoclonal mouse antibody | Cell Marque | Cat# 343M-96; clone: 8G7G3/1; RRID:AB_1158937 |
| Anti-TGFß1 polyclonal rabbit antibody | Santa Cruz Biotechnology | Cat# SC-146; RRID:AB_632486 |
| Anti-TGFß polyclonal rabbit antibody | Cell Signaling Technology | Cat# 3711; RRID:AB_2063354 |
| Anti-LAG3 polyclonal rabbit antibody | Abcam | Cat# ab180187; clone: EPR4392(2); RRID:AB_2888645 |
| Anti-C1q polyclonal rabbit antibody | Agilent | Cat# A0136; RRID:AB_2335698 |
| Anti-GAPDH monoclonal rabbit antibody | Cell Signaling Technology | Cat# 2118; clone: 14C10; RRID:AB_561053 |
| HRP-linked ECL Anti-Rabbit IgG | GE Healthcare | Cat# NA934; RRID:AB_772206 |
| Dako REAL TM EnVision TM HRP rabbit/mouse detection-system | Agilent | Cat# K5007; RRID:AB_2888627 |
| ultraView DAB detection-system | Roche | Cat# 760-500; RRID:AB_2753116 |
| Bacterial and virus strains | ||
| SARS-CoV-2 strains from study | This study | N/A |
| Bacterial and fungal strains from study | This study | N/A |
| Biological samples | ||
| Autopsy tissue and body fluid samples | This study | N/A |
| Respiratory tract swabs | This study | N/A |
| Chemicals, peptides, and recombinant proteins | ||
| Thioglycollate broth | Oxoid | Cat# CM0173 |
| OptiPro SFM medium | Gibco | Cat# 12309019 |
| L-Glutamine | Gibco | Cat# 11539876 |
| Penicillin-Streptomycin (10.000 U/ml) | Gibco | Cat# 11548876 |
| TRIzol® | Invitrogen | Cat# 15596026 |
| RIPA buffer | Sigma | Cat# R0278 |
| Pefabloc | Roche | Cat# 11429868001 |
| cOmpleteTM Mini | Merck | Cat# 11836153001 |
| PhosSTOPTM | Roche | Cat# 4906845001 |
| Laemmli buffer | Bio-Rad | Cat# 1610737EDU |
| Critical commercial assays | ||
| MagNA Lyser green beads tubes | Roche | Cat# 03358941001 |
| Maxwell 16 LEV simplyRNA blood kit | Promega | Cat# AS1310 |
| QIAamp Viral RNA Mini Kit | Qiagen | Cat# 221413 |
| High-Capacity cDNA Reverse Transcription Kit with RNase inhibitor | Applied Biosystems | Cat# 4374966 |
| SuperScript III One-Step RT-PCR System with Platinum Taq High Fidelity DNA Polymerase mastermix | ThermoFisher | Cat# 12574018 |
| SYBR Green PCR Mastermix | Applied Biosystems | Cat# 4309155 |
| Ampure XP beads | Beckman Coulter | Cat# A63881 |
| NEBNext Fast DNA Fragmentation & Library Prep Set for Ion Torren kit | New England Biolabs | Cat# E6285L |
| KAPA RNA HyperPrep Kit with RiboErase (HMR) for Illumina® platforms | KAPABIOSYSTEMS | Cat# KR1351 |
| 16s Complete PCR Mastermix kit | Molzym | Cat# S-020-0250 |
| QiaQick gel extraction kit | Qiagen | Cat# 28706X4 |
| Ponceau S solution | Sigma | Cat# P7170 |
| ECL Select Western Blot Reagent | Amersham | Cat# 12644055 |
| RNAlater | ThermoFisher | Cat# AM7024 |
| Deposited data | ||
| 16S rRNA gene-, ITS- and RNAseq data | European nucleotide archive (ENA) | Acc. no. PRJEB45873 |
| Experimental models: Cell lines | ||
| Vero CCL-81 cells | European Collection of Authenticated Cell Cultures | ECACC 84113001 |
| Oligonucleotides | ||
| RdRp_SARSr-F GTGARATGGTCATGTGTGGCGG | (Corman et al., 2020) | N/A |
| RdRp_SARSr-P2 FAM-CAGGTGGAACCTCATCAGGAGATGC-BBQ |
(Corman et al., 2020) | N/A |
| RdRp_SARSr-R CARATGTTAAASACACTATTAGCATA | (Corman et al., 2020) | N/A |
| N_Sarbeco_F CACATTGGCACCCGCAATC | (Corman et al., 2020) | N/A |
| N_Sarbeco_P FAM-ACTTCCTCAAGGAACAACATTGCCA-BBQ |
(Corman et al., 2020) | N/A |
| N_Sarbeco_R GAGGAACGAGAAGAGGCTTG | (Corman et al., 2020) | N/A |
| 2019-nCoV_N1-F GACCCCAAAATCAGCGAAAT | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| 2019-nCoV_N1-R TCTGGTTACTGCCAGTTGAATCTG | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| 2019-nCoV_N2-F TTACAAACATTGGCCGCAAA | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| 2019-nCoV_N2-R GCGCGACATTCCGAAGAA | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| 2019-nCoV_N3-F GGGAGCCTTGAATACACCAAAA | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| 2019-nCoV_N3-R TGTAGCACGATTGCAGCATTG | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| RP-F AGATTTGGACCTGCGAGCG | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| RP-R GAGCGGCTGTCTCCACAAGT | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| GAPDH_f CCTCCACCTTTGACGCT | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| GAPDH_r TTGCTGTAGCCAAATTCGTT | https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html | N/A |
| CoV_gen_f1 TAAAGGTTTATACCTTCCCAGG | This study | N/A |
| CoV_gen_r1 CAGATGTGAACATCATAGCATC | This study | N/A |
| CoV_gen_f2 AAAGAGCTATGAATTGCAGACACC | This study | N/A |
| CoV_gen_r2 GGAGGGTAGAAAGAACAATACA | This study | N/A |
| CoV_gen_f3 GATGCTATGATGTTCACATCTG | This study | N/A |
| CoV_gen_r3 CAGAATCTGGATGAAGATTGCCAT | This study | N/A |
| CoV_gen_f4 TGTATTGTTCTTTCTACCCTCC | This study | N/A |
| CoV_gen_r4 CTCCATCCAAATAAGTTGGACCAA | This study | N/A |
| CoV_gen_f5 ATGGCAATCTTCATCCAGATTCTG | This study | N/A |
| CoV_gen_r5 CACATCACCATTTAAGTCAGGGAA | This study | N/A |
| CoV_gen_f6 TTGGTCCAACTTATTTGGATGGAG | This study | N/A |
| CoV_gen_r6 CACTCTGCAACTAAGCCAAA | This study | N/A |
| CoV_gen_f7 TTCCCTGACTTAAATGGTGATGTG | This study | N/A |
| CoV_gen_r7 GCCAGTAACTTCTATGTCAGATTG | This study | N/A |
| CoV_gen_f8 TTTGGCTTAGTTGCAGAGTG | This study | N/A |
| CoV_gen_r8 CACTAGTAGATACACAAACACCAG | This study | N/A |
| CoV_gen_f9 CAATCTGACATAGAAGTTACTGGC | This study | N/A |
| CoV_gen_r9 CCAGCCTGTACCAAGAAATTA | This study | N/A |
| CoV_gen_f10 CTGGTGTTTGTGTATCTACTAGTG | This study | N/A |
| CoV_gen_r10 CCAACCATGTCATAATACGCAT | This study | N/A |
| CoV_gen_f11 TAATTTCTTGGTACAGGCTGG | This study | N/A |
| CoV_gen_r11 CCAACTTACGTTGCATGGCTG | This study | N/A |
| CoV_gen_f12 ATGCGTATTATGACATGGTTGG | This study | N/A |
| CoV_gen_r12 GGATGATCTATGTGGCAACGG | This study | N/A |
| CoV_gen_f13 CAGCCATGCAACGTAAGTTGG | This study | N/A |
| CoV_gen_r13 GGTGGTATGTCTGATCCCAATATT | This study | N/A |
| CoV_gen_f14 CCGTTGCCACATAGATCATCC | This study | N/A |
| CoV_gen_r14 GCATGTTAGGCATGGCTCTATCA | This study | N/A |
| CoV_gen_f15 AATATTGGGATCAGACATACCACC | This study | N/A |
| CoV_gen_r15 GGTCGTAACAGCATTTACAA | This study | N/A |
| CoV_gen_f16 TGATAGAGCCATGCCTAACATGC | This study | N/A |
| CoV_gen_r16 GTCTCAGGCAATGCATTTAC | This study | N/A |
| CoV_gen_f17 TTGTAAATGCTGTTACGACC | This study | N/A |
| CoV_gen_r17 GCTTCTCTAGTAGCATGACACCC | This study | N/A |
| CoV_gen_f18 GTAAATGCATTGCCTGAGAC | This study | N/A |
| CoV_gen_r18 CACATGGACTGTCAGAGTAATAGA | This study | N/A |
| CoV_gen_f19 GGGTGTCATGCTACTAGAGAAGC | This study | N/A |
| CoV_gen_r19 CACTTAGATGAACCTGTTTGCGC | This study | N/A |
| CoV_gen_f20 TCTATTACTCTGACAGTCCATGTG | This study | N/A |
| CoV_gen_r20 GACTAGAGACTAGTGGCAATAA | This study | N/A |
| CoV_gen_f21 GCGCAAACAGGTTCATCTAAGTG | This study | N/A |
| CoV_gen_r21 GCAAATCTGGTGGCGTTAAA | This study | N/A |
| CoV_gen_f22 TTATTGCCACTAGTCTCTAGTC | This study | N/A |
| CoV_gen_r22 GAGGAGAATTAGTCTGAGTCT | This study | N/A |
| CoV_gen_f23 TTTAACGCCACCAGATTTGC | This study | N/A |
| CoV_gen_r23 GCTCTGATTTCTGCAGCTCTAATT | This study | N/A |
| CoV_gen_f24 AGACTCAGACTAATTCTCCTC | This study | N/A |
| CoV_gen_r24 CCTTGGAGAGTGCTAGTTGCC | This study | N/A |
| CoV_gen_f25 AATTAGAGCTGCAGAAATCAGAGC | This study | N/A |
| CoV_gen_r25 GGCATAGGCAAATTGTAGAAGACA | This study | N/A |
| CoV_gen_f26 GGCAACTAGCACTCTCCAAGG | This study | N/A |
| CoV_gen_r26 GTGAAACTGATCTGGCACGTAACT | This study | N/A |
| CoV_gen_f27 TGTCTTCTACAATTTGCCTATGCC | This study | N/A |
| CoV_gen_r27 CCATAGGGAAGTCCAGCTTCTG | This study | N/A |
| CoV_gen_f28 AGTTACGTGCCAGATCAGTTTCAC | This study | N/A |
| CoV_gen_r28 GTCCTCCCTAATGTTACACA | This study | N/A |
| CoV_gen_f29 CAGAAGCTGGACTTCCCTATGG | This study | N/A |
| CoV_gen_r29 TTTGTATGCGTCAATATGCTT | This study | N/A |
| CoV_gen_f30 TGTGTAACATTAGGGAGGAC | This study | N/A |
| CoV_gen_r30 TTTGTCATTCTCCTAAGAAGC | This study | N/A |
| 16S_515_f TGCCAGCAGCCGCGGTAA | (Maiwald 2011) | |
| 16S_806_r GGACTACCAGGGTATCTAAT | (Maiwald 2011) | |
| ITS1 TCCGTAGGTGAACCTGCGG | (Halwachs et al., 2017) | |
| ITS2 GCTGCGTTCTTCATCGATGC | (Halwachs et al., 2017) | |
| Software and algorithms | ||
| R (v4.1) | https://www.R-project.org/ | N/A |
| GISAID SARS-CoV-2 (hCoV-19) database | GISAID | https://www.gisaid.org |
| clustalw (v2.1) | (Larkin et al., 2007) | ftp://ftp.ebi.ac.uk/pub/software/clustalw2/ |
| figtree (v1.4.4) | http://tree.bio.ed.ac.uk/software/figtree/ | |
| STAR | (Dobin et al., 2013) | https://github.com/alexdobin/STAR |
| bowtie2-2.4.1 | (Langmead and Salzberg 2012) | http://bowtie-bio.sourceforge.net/bowtie2/index.shtml |
| HTSeq (v0.12.4) | G Putri, S Anders, PT Pyl, JE Pimanda, F Zanini Analysing high-throughput sequencing data in Python with HTSeq 2.0 https://doi.org/10.1093/bioinformatics/btac166(2022) | https://htseq.readthedocs.io/en/master/ |
| xCell | (Aran et al., 2017) | https://github.com/dviraran/xCell |
| edgeR | (Robinson et al., 2010) | https://bioconductor.org/packages/release/bioc/html/edgeR.html |
| Gene set enrichment analysis online tool | (Subramanian et al., 2005) | https://www.gsea-msigdb.org/gsea/msigdb/annotate.jsp |
| Single-cell atlas database SCovid | (Qi et al., 2022) | http://bio-annotation.cn/scovid/ |
| MetaPhlAn2 (v2.6.0) | (Segata et al., 2012) | https://github.com/biobakery/MetaPhlAn2 |
| Pathseq (GATK v4.1.0.0) | (Kostic et al., 2011) | https://github.com/broadinstitute/gatk |
| QIIME2 (v. 2020.6) | (Bolyen et al., 2019) | https://qiime2.org/ |
| LEfSe | (Segata et al., 2011) | https://www.bioconductor.org/packages/release/bioc/html/lefser.html |
| DADA2 | (Callahan et al., 2016) | https://bioconductor.org/packages/release/bioc/html/dada2.html |
| UNITE reference database | (Nilsson et al., 2018) Nilsson RH, Larsson K-H, Taylor AFS, Bengtsson-Palme J, Jeppesen TS, Schigel D, Kennedy P, Picard K, Glöckner FO, Tedersoo L, Saar I, Kõljalg U, Abarenkov K. 2018. The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications. Nucleic Acids Research, https://doi.org/10.1093/nar/gky1022 | https://unite.ut.ee/ |
| SILVA reference database | (Quast et al., 2013) | https://www.arb-silva.de/ |
| bcftools (v1.3.1) | http://github.com/samtools/bcftools | |
| Incscape (v0.92) | https://inkscape.org/de/release/inkscape-0.92/ | |
| fastx (v0.0.13) | http://hannonlab.cshl.edu/fastx_toolkit/ | |
| seqclean | https://sourceforge.net/projects/seqclean/ | |
| samtools | (Danecek et al., 2021) | http://www.htslib.org/ |
| GraphPad PrismTM | https://www.graphpad.com/scientific-software/prism/ | |
| ImageJ | https://imagej.nih.gov/ij/index.html | |
| BioRender | https://biorender.com/ | |
| Other | ||
| eSwab | Copan | Cat# 80490CEA |
| Inform EBER Epstein Barr Virus early RNA kit | Ventana | Cat# 800-2824 |
| ISH invers blue detection-system | Ventana | Cat# 800-092 |
| Genbox anaer | bioMérieux | Cat# 45534 |
| Blood agar | BD Diagnostics | Cat# 256506 |
| MacConkey agar | BD Diagnostics | Cat# 215197 |
| Chocolate agar | BD Diagnostics | Cat# 257456 |