• Je něco špatně v tomto záznamu ?

Signals trigger state-specific transcriptional programs to support diversity and homeostasis in immune cells

C. Fischer, M. Metsger, S. Bauch, R. Vidal, M. Böttcher, P. Grote, M. Kliem, S. Sauer,

. 2019 ; 12 (581) : . [pub] 20190514

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20025855

Macrophages play key roles in the immune systems of humans and other mammals. Here, we performed single-cell analyses of the mRNAs and proteins of human macrophages to compare their responses to the signaling molecules lipopolysaccharide (LPS), a component of Gram-negative bacteria, and palmitate (PAL), a free fatty acid. We found that, although both molecules signal through the cell surface protein Toll-like receptor 4 (TLR4), they stimulated the expression of different genes, resulting in specific pro- and anti-inflammatory cellular states for each signal. The effects of the glucocorticoid receptor, which antagonizes LPS signaling, and cyclic AMP-dependent transcription factor 3, which inhibits PAL-induced inflammation, on inflammatory response seemed largely determined by digital on-off events. Furthermore, the quantification of transcriptional variance and signaling entropy enabled the identification of cell state-specific deregulated molecular pathways. These data suggest that the preservation of signaling in distinct cells might confer diversity on macrophage populations essential to maintaining major cellular functions.

Laboratory of Functional Genomics Nutrigenomics and Systems Biology Scientific Genomics Platforms Max Delbrück Center for Molecular Medicine 13092 Berlin Germany

Laboratory of Functional Genomics Nutrigenomics and Systems Biology Scientific Genomics Platforms Max Delbrück Center for Molecular Medicine 13092 Berlin Germany Max Planck Institute for Molecular Genetics 14195 Berlin Germany

Laboratory of Functional Genomics Nutrigenomics and Systems Biology Scientific Genomics Platforms Max Delbrück Center for Molecular Medicine 13092 Berlin Germany Max Planck Institute for Molecular Genetics 14195 Berlin Germany CU Systems Medicine University of Würzburg 97080 Würzburg Germany

Laboratory of Functional Genomics Nutrigenomics and Systems Biology Scientific Genomics Platforms Max Delbrück Center for Molecular Medicine 13092 Berlin Germany Max Planck Institute for Molecular Genetics 14195 Berlin Germany Department of Biology Chemistry and Pharmacy Free University of Berlin 14195 Berlin Germany

Laboratory of Functional Genomics Nutrigenomics and Systems Biology Scientific Genomics Platforms Max Delbrück Center for Molecular Medicine 13092 Berlin Germany Max Planck Institute for Molecular Genetics 14195 Berlin Germany Department of Biology Chemistry and Pharmacy Free University of Berlin 14195 Berlin Germany Central European Institute of Technology Masaryk University 62500 Brno Czech Republic

Max Planck Institute for Molecular Genetics 14195 Berlin Germany

Max Planck Institute for Molecular Genetics 14195 Berlin Germany Institute of Cardiovascular Regeneration Centre for Molecular Medicine Goethe University 60590 Frankfurt am Main Germany

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20025855
003      
CZ-PrNML
005      
20201222155512.0
007      
ta
008      
201125s2019 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1126/scisignal.aao5820 $2 doi
035    __
$a (PubMed)31088978
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Fischer, Cornelius $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany. Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. Department of Biology, Chemistry, and Pharmacy, Free University of Berlin, 14195 Berlin, Germany.
245    10
$a Signals trigger state-specific transcriptional programs to support diversity and homeostasis in immune cells / $c C. Fischer, M. Metsger, S. Bauch, R. Vidal, M. Böttcher, P. Grote, M. Kliem, S. Sauer,
520    9_
$a Macrophages play key roles in the immune systems of humans and other mammals. Here, we performed single-cell analyses of the mRNAs and proteins of human macrophages to compare their responses to the signaling molecules lipopolysaccharide (LPS), a component of Gram-negative bacteria, and palmitate (PAL), a free fatty acid. We found that, although both molecules signal through the cell surface protein Toll-like receptor 4 (TLR4), they stimulated the expression of different genes, resulting in specific pro- and anti-inflammatory cellular states for each signal. The effects of the glucocorticoid receptor, which antagonizes LPS signaling, and cyclic AMP-dependent transcription factor 3, which inhibits PAL-induced inflammation, on inflammatory response seemed largely determined by digital on-off events. Furthermore, the quantification of transcriptional variance and signaling entropy enabled the identification of cell state-specific deregulated molecular pathways. These data suggest that the preservation of signaling in distinct cells might confer diversity on macrophage populations essential to maintaining major cellular functions.
650    _2
$a transkripční faktor ATF3 $x genetika $7 D051700
650    _2
$a regulace genové exprese $x účinky léků $7 D005786
650    _2
$a genetická variace $x genetika $7 D014644
650    _2
$a homeostáza $x genetika $7 D006706
650    _2
$a lidé $7 D006801
650    _2
$a interleukin-1beta $x genetika $7 D053583
650    _2
$a interleukin-8 $x genetika $7 D016209
650    _2
$a lipopolysacharidy $x farmakologie $7 D008070
650    _2
$a makrofágy $x cytologie $x účinky léků $x metabolismus $7 D008264
650    _2
$a palmitany $x farmakologie $7 D010168
650    _2
$a signální transdukce $x účinky léků $x genetika $7 D015398
650    _2
$a analýza jednotlivých buněk $x metody $7 D059010
650    _2
$a THP-1 buňky $7 D000074084
650    _2
$a toll-like receptor 4 $x genetika $7 D051197
650    _2
$a genetická transkripce $x účinky léků $x genetika $7 D014158
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Metsger, Maria $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany. Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. Department of Biology, Chemistry, and Pharmacy, Free University of Berlin, 14195 Berlin, Germany. Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic.
700    1_
$a Bauch, Sophia $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany. Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany.
700    1_
$a Vidal, Ramon $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany.
700    1_
$a Böttcher, Michael $u Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany.
700    1_
$a Grote, Phillip $u Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. Institute of Cardiovascular Regeneration, Centre for Molecular Medicine, Goethe University, 60590 Frankfurt am Main, Germany.
700    1_
$a Kliem, Magdalena $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany. Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany.
700    1_
$a Sauer, Sascha $u Laboratory of Functional Genomics, Nutrigenomics and Systems Biology, Scientific Genomics Platforms, Max Delbrück Center for Molecular Medicine (BIMSB/BIH), 13092 Berlin, Germany. sascha.sauer@mdc-berlin.de. Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. CU Systems Medicine, University of Würzburg, 97080 Würzburg, Germany.
773    0_
$w MED00190083 $t Science signaling $x 1937-9145 $g Roč. 12, č. 581 (2019)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31088978 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201222155508 $b ABA008
999    __
$a ok $b bmc $g 1600000 $s 1116541
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 12 $c 581 $e 20190514 $i 1937-9145 $m Science signaling $n Sci Signal $x MED00190083
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...