2021
DOI: 10.1007/s00775-021-01864-w
|View full text |Cite
|
Sign up to set email alerts
|

Low-molecular-mass labile metal pools in Escherichia coli: advances using chromatography and mass spectrometry

Abstract: Labile low-molecular-mass (LMM) transition metal complexes play essential roles in metal ion trafficking, regulation, and signalling in biological systems, yet their chemical identities remain largely unknown due to their rapid ligand-exchange rates and weak M–L bonds. Here, an Escherichia coli cytosol isolation procedure was developed that was devoid of detergents, strongly coordinating buffers, and EDTA. The interaction of the metal ions from these complexes with a SEC column was minimized by pre-loading the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
69
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 18 publications
(72 citation statements)
references
References 53 publications
0
69
0
Order By: Relevance
“…Associative ligand exchange is proposed for Ni 2+ transfer to InrS but from small molecule complexes such as Ni 2+ histidine that act as metal buffers ( Figure 2 ). Some of the predominant molecules that bind and buffer selected metal ions in the cytosol of different organisms include glutathione [ 35 , 36 ], bacillithiol in Firmicute bacteria [ 37 ], amino acids [ 38 , 39 ] and specialised proteins such as metallothioneins [ 40 ]. The almost nonexistent concentrations of unbound hydrated metals inside living cells thus become irrelevant for metalation with one caveat: these values reflect how tightly the intracellular milieu binds to exchangeable available metals ( Figure 3 a and b).…”
Section: Associative Metalation and Available Metalmentioning
confidence: 99%
“…Associative ligand exchange is proposed for Ni 2+ transfer to InrS but from small molecule complexes such as Ni 2+ histidine that act as metal buffers ( Figure 2 ). Some of the predominant molecules that bind and buffer selected metal ions in the cytosol of different organisms include glutathione [ 35 , 36 ], bacillithiol in Firmicute bacteria [ 37 ], amino acids [ 38 , 39 ] and specialised proteins such as metallothioneins [ 40 ]. The almost nonexistent concentrations of unbound hydrated metals inside living cells thus become irrelevant for metalation with one caveat: these values reflect how tightly the intracellular milieu binds to exchangeable available metals ( Figure 3 a and b).…”
Section: Associative Metalation and Available Metalmentioning
confidence: 99%
“…The pFTS had lower salt concentration and lacked species that were considered unlikely ligands to Ni. Individual standard nickel complexes were prepared by mixing NiSO 4 and stock solutions of individual ligands (previously described in ref ) to a final concentration of 2 μM Ni and various desired, final concentrations of the ligand. Standards were prepared fresh on the day of analysis and stored anaerobically at 5–10 °C prior to injecting them onto columns.…”
Section: Experimental Sectionmentioning
confidence: 99%
“…Standards were diluted 20× in methanol (LC-MS grade, Fisher Chemical) prior to ESI-MS direct injection. Other samples and standards were prepared as described . These standards and samples were analyzed using a Thermo Scientific Q Exactive Focus MS.…”
Section: Experimental Sectionmentioning
confidence: 99%
See 1 more Smart Citation
“…Only indirectly and by inference do we have knowledge about the biological molecules or metabolites binding these metal ions as ligands in these pools as their very nature of exchanging ligands makes the chemical characterization with a speciation analysis very challenging. In E. coli, sulfur-containing amino acids along with mono-and dinucleotides have been identified as candidate ligands [32]. Glutathione has been suggested to be a ligand for Fe 2+ while multiple ligands have been discussed for Zn 2+ [33,34].…”
Section: Cellular Metal Metabolism As a Part Of Metabolic Pathways And Signal Transduction Networkmentioning
confidence: 99%