BACKGROUND: Nicotinamide adenine dinucleotide (NAD) plays a central role in energy metabolism and integrates cellular metabolism with signalling and gene expression. NAD biosynthesis depends on the enzyme nicotinamide/nicotinate mononucleotide adenylyltransferase (NMNAT; EC: 2.7.7.1/18), in which converge the de novo and salvage pathways. OBJECTIVE: The purpose of this study was to analyse the protein-protein interactions (PPI) of NMNAT of Leishmania braziliensis (LbNMNAT) in promastigotes. METHODS: Transgenic lines of L. braziliensis promastigotes were established by transfection with the pSP72αneoαLbNMNAT-GFP vector. Soluble protein extracts were prepared, co-immunoprecipitation assays were performed, and the co-immunoprecipitates were analysed by mass spectrometry. Furthermore, bioinformatics tools such as network analysis were applied to generate a PPI network. FINDINGS: Proteins involved in protein folding, redox homeostasis, and translation were found to interact with the LbNMNAT protein. The PPI network indicated enzymes of the nicotinate and nicotinamide metabolic routes, as well as RNA-binding proteins, the latter being the point of convergence between our experimental and computational results. MAIN CONCLUSION: We constructed a model of PPI of LbNMNAT and showed its association with proteins involved in various functions such as protein folding, redox homeostasis, translation, and NAD synthesis.
BACKGROUND: Nicotinamide adenine dinucleotide (NAD) plays a central role in energy metabolism and integrates cellular metabolism with signalling and gene expression. NAD biosynthesis depends on the enzyme nicotinamide/nicotinate mononucleotide adenylyltransferase (NMNAT; EC: 2.7.7.1/18), in which converge the de novo and salvage pathways. OBJECTIVE: The purpose of this study was to analyse the protein-protein interactions (PPI) of NMNAT of Leishmania braziliensis (LbNMNAT) in promastigotes. METHODS: Transgenic lines of L. braziliensis promastigotes were established by transfection with the pSP72αneoαLbNMNAT-GFP vector. Soluble protein extracts were prepared, co-immunoprecipitation assays were performed, and the co-immunoprecipitates were analysed by mass spectrometry. Furthermore, bioinformatics tools such as network analysis were applied to generate a PPI network. FINDINGS: Proteins involved in protein folding, redox homeostasis, and translation were found to interact with the LbNMNAT protein. The PPI network indicated enzymes of the nicotinate and nicotinamide metabolic routes, as well as RNA-binding proteins, the latter being the point of convergence between our experimental and computational results. MAIN CONCLUSION: We constructed a model of PPI of LbNMNAT and showed its association with proteins involved in various functions such as protein folding, redox homeostasis, translation, and NAD synthesis.
The cellular functions of proteins occur via concerted interactions with other proteins.
Such protein-protein interactions (PPI) are the foundation of all biological processes
occurring in different physiological and pathological conditions. They regulate several
cellular functions, including cell cycle progression, signal transduction, metabolism,
gene expression, vesicular transport, nuclear transport, and cell migration.
Furthermore, members of the PPI network are potential therapeutic targets for the
development of new drugs.
Therefore, it is important to study and understand the specific nature of these
interactions.One such protein is the nicotinamide/nicotinate mononucleotide adenylyltransferase of
Leishmania braziliensis (LbNMNAT), which is the key member in the
biosynthesis of nicotinamide adenine dinucleotide (NAD) and has been functionally
identified.
PPI analysis by interaction networks has enabled the study of several biological
aspects of human pathogens, such as the protozoan parasites Leishmania
spp., Plasmodium spp., and Trypanosoma spp., which
require the continuous discovery of pharmacological targets owing to their resistance
mechanisms against existing drugs. In the case of Leishmania, PPI
networks based on structural information have opened possibilities for further studies
aimed at the development of novel drugs.
These studies are crucial in the context of neglected diseases such as
leishmaniasis, which is endemic to the tropical and subtropical regions of the world and
causes approximately 30,000 deaths annually. Currently, there is no effective
leishmaniasis vaccine available for humans.
Therefore, it is necessary to explore the pathogenesis mechanisms of this
parasite further, with focus on the identification of the PPI of key enzymes such as
NMNAT. This offers a potential strategy for identifying and characterising new
pharmacological targets. As proteins generally do not function in an isolated manner but
are a part of a dynamic network, identifying the interaction partners of LbNMNAT can
provide considerable information on their physiological function in the parasite.Co-immunoprecipitation in combination with mass spectrometry (Co-IP-MS/MS) has been
widely used for the sensitive and reliable identification of PPI and the
characterisation of protein complex members.
The interactions identified through the Co-IP-MS/MS strategy have been validated
by other technologies, which reinforce the efficacy of MS to identify protein-protein
associations.In this study, we aimed to investigate for the first time, the PPI of LbNMNAT by using
experimental and bioinformatics tools such as Co-IP-MS/MS and PPI network construction,
respectively. The identification of the members of the interaction network around
LbNMNAT will expand the comprehension on its regulation in L.
braziliensis. Furthermore, these regulatory members represent potential
pharmacological targets to modulate NAD biosynthesis in the parasite.
MATERIALS AND METHODS
Culture of L. braziliensis promastigotes - L.
braziliensis (M2904 MHOM/BR/75M2904) promastigotes were cultivated in
Schneider’s medium (pH 7.4; Sigma), supplemented with 10% (v/v) foetal bovine serum
(FBS) at 26ºC, in 25-cm2 (T25) flasks. When the culture reached the
stationary growth phase, the parasites were diluted to an initial concentration of 1
× 106 cells/mL.Construction of the pSP72RαneoαLbNMNAT-GFP recombinant vector - The
fragment lbnmnat was polymerase chain reaction (PCR)-amplified
using the plasmid pQE30-LbNMNAT as a template and the following oligonucleotides:
forward 5ʹ-GGCTCTAGAATGTTATCCTCTACTGCT-3ʹ and reverse
5ʹ-GGCTCTAGAGGACGGAAGCCCCTC-3ʹ. The PCR product was cloned in the pGEMT-Easy
(Promega) vector and was released from this vector employing the endonuclease XbaI
(Fermentas) at 37ºC. The digested fragment was ligated with the expression vector
pSP72RαneoαGFP
(kindly donated by Dr Marcela Camacho), using the T4 ligase. The expression
vector was previously digested with XbaI and dephosphorylated with alkaline
phosphatase from calf intestine (Promega), for 2 h at 37ºC. The vector
pSP72RαneoαLbNMNAT-GFP allowed the expression of the LbNMNAT enzyme fused with green
fluorescent protein (GFP) in the C-terminus. The recombinant vector was verified by
DNA sequencing.Transfection of L. braziliensis promastigotes - The recombinant
vectors pSP72RαneoαLbNMNAT-GFP and pSP72RαneoαGFP (empty) were used to transfect
L. braziliensis promastigotes, following a standardised
electroporation protocol.
Briefly, parasites from 10 mL of a confluent culture were washed with 3 mL
of cold Cytomix (25 mM HEPES pH 7.6, 120 mM KCl, 10 mM K2HPO4,
5 mM MgCl2, 2 mM EDTA, 0.15 mM CaCl2), centrifuged at 1000
g for 10 min at 4ºC. The precipitate of parasites was
re-suspended in 1 mL of Cytomix and 450 μL of this suspension was transferred to a
4-mm electroporation cell containing 25 μg of the corresponding plasmids. The cell
was incubated on ice for 10 min and 3 pulses of 1600 V, 25 μF capacitance and
infinite resistance were applied, with intervals of 20 s between the pulses. The
electroporated cells were incubated 24 h at 26ºC in a final volume of 5 mL of
Schneider’s medium supplemented with 20% (v/v) FBS. Then, 5 mL of this medium
supplemented with 120 μg/mL of geneticin G418 (Gibco-BRL) was added. The cultures
were monitored daily by microscopic observations. Fifteen days later, live parasites
were observed, and the established transgenic lines were cultured in the presence of
60 μg/mL G418. The transgenic parasites were used in immunodetection assays and
fluorescence microscopy. GFP emission in paraformaldehyde-fixed cells was observed
using the Nikon Eclipse C1 Plus microscope and the EZ-C1 software.Soluble protein extract preparation - Transgenic parasites of each
cell line were collected by centrifugation at 6000 g for 10 min at
4ºC, using 100 mL of the culture. The parasites were washed two times with 10 mL of
PBS (pH 7.4), re-suspended in 500 µL of lysis buffer (0.1× PBS, cocktail of protease
inhibitors (1:200; Sigma), 0.1% (v/v) Triton X-100) and incubated for 30 min at 4ºC
with constant agitation. The suspension was centrifuged at 12000 g
for 5 min at 4ºC and the supernatant was stored at -20ºC.Co-IP assays - Soluble protein extracts (900 µL) were incubated
with 100 µL of protein A-Sepharose (Sigma) for 1 h at 4ºC with constant agitation
and centrifuged at 3000 g for 3 min at 4ºC. The anti-GFP antibody
(Molecular Probes) was added to the clarified supernatant, to a final concentration
of 0.2 µg/mL. The reaction was incubated for 16 h at 4ºC with agitation. Then, 100
µL of protein A-Sepharose was added and incubated for 2 h with agitation at 4ºC. The
immunoprecipitate was obtained by centrifugation at 3000 g for 5
min at 4ºC. The precipitate was washed three times with washing buffer (50 mM
Tris-HCl, pH 7.5, 150 mM NaCl, 5 mM MgCl2, 5% (v/v) glycerol). The
immunoprecipitate was re-suspended in 100 µL of 1X sodium dodecyl sulfate
polyacrylamide gel electrophoresis (SDS-PAGE) loading buffer (50 mM Tris-HCl, pH
6.8, 10% (v/v) glycerol, 2% (w/v) SDS, 0.1% (w/v) bromophenol blue, 100 mM
β-mercaptoethanol) and heated at 92ºC for 10 min. The process was monitored by
SDS-PAGE and western blot. For immunodetection, anti-GFP [1:500 in tris-buffered
saline (TBS)] was used as the primary antibody, and peroxidase-conjugated
anti-rabbit immunoglobulin G (IgG) (1:5000 in TBS; Sigma) was used as the secondary
antibody. Membranes were revealed with 4-chloronaphthol (Promega) and hydrogen
peroxide.Analysis of co-IP proteins by MS - Here, 60 µL of the
immunoprecipitates was analysed using T12 SDS-PAGE at 200 V for 5 min. Staining of
the gel was completed with colloidal Coomassie G-250 (10% (w/v)
(NH4)2SO4, 0.1% (w/v) Coomassie G-250, 3% (v/v)
H3PO4, 20% (v/v) ethanol) for 16 h. The immunoprecipitated
protein bands were extracted from the gel and identified by commercial nano-LC-MS/MS
(https://www.alphalyse.com/). Samples were reduced with 150 μL 10 mM DTT in 50 mM
NH4HCO3 and incubated for 30 min at 50ºC. Then, the
samples were alkylated with 150 μL of 55 mM iodoacetamide in 50 mM
NH4HCO3 and incubated for 30 min at room temperature, and
digested with trypsin. The peptides were concentrated by lyophilisation and
redissolved prior to being injected in a UPLC Dionex nano-LC system. The peptides
were separated using a trap column (Acclaim PepMap 100, 75 µm × 2 cm) coupled to an
analytic column (Acclaim PepMap RSLC, 75 µm × 15 cm) at 35ºC using eluent A (0.1%
formic acid) and B (0.1% formic acid in 90% acetonitrile) with the following
gradient: 10 min 5% B, 30 min 45% B, 5 min 98% B, 10 min 5% B; flow: 0.3 μL/min.
MS/MS analysis was conducted in the Bruker Maxis Impact QTOF instrument using a
CaptiveSpray with nanoBooster source (0.2 Bar), positive polarity mode, 50-2200 m/z
mass range, 1500V capillary voltage, 3 L/min of dry gas, and 150ºC of dry
temperature.Protein identification - Proteomics data analysis was performed
using the PatternLab for Proteomics software 4.0.
Initially, the protein database of L. braziliensis
(MHOM/BR/75/M2904) was loaded in the program from UniProt. As search parameters, we
allowed two missed cleavages after trypsin digestion, precursor mass tolerance of 40
ppm, and carbamidomethylation (c) and methionine oxidation as fixed and variable
modifications, respectively. Label-free quantification between common identified
proteins in the biological replicates and the control sample was completed based on
spectrum counting by means of the ratio: Spectrum counts in a biological
replicate/Spectrum counts in the control sample.
Fold change ≥ 1.5 was selected as the parameter.Identification of interactions of the LbNMNAT protein by network
analysis - The PPI network was created with the platform STRING V.10.5
(Search Tool for the Retrieval of Interacting Genes/Proteins).
Resources used were neighbourhood, gene-fusion, text mining, co-expression,
co-occurrence, and databases as well as experimental results, establishing a value
of 0.4 as a minimum interaction score. Functional enhancement of the proteins was
performed using functional classification systems in GO (Gene Ontology), and the
functional and conserved modules were predicted using the databases InterPRO
(https://www.ebi.ac.uk/interpro/), PFAM (https://pfam.xfam.org/), and KEGG
(http://www.genome.jp/kegg/). Finally, the hypothetical proteins and interesting
interactions were analysed. To contrast the results with experimentally confirmed
physical PPI, a search was made for NMNAT physical interactions in Homo
sapiens, Escherichia coli, Saccharomyces
cerevisiae, and Arabidopsis thaliana in the online
databases DIP (http://dip.doe-mbi.ucla.edu/dip/Main.cgi), BioGRID
(https://thebiogrid.org/), and IntAct (https://www.ebi.ac.uk/intact/).
RESULTS
LbNMNAT-GFP co-immunoprecipitates with diverse interaction partners
- Two transgenic cellular lines of promastigotes of L. braziliensis
were established using the pSP72αneoαLbNMNAT-GFP and pSP72αneoαGFP vectors. Soluble
protein extracts were obtained and analysed by western blot, whereas the parasites
were observed by fluorescence microscopy to confirm LbNMNAT-GFP protein expression
in the promastigotes. Parasites transfected with the empty vector expressed GFP (27
kDa), whereas those transfected with the recombinant pSP72αneoαLbNMNAT-GFP vector
expressed the LbNMNAT enzyme fused to GFP (60 kDa) (Fig. 1).
Fig. 1:
expression of the LbNMNAT-green fluorescent protein (GFP) in
Leishmania braziliensis
promastigotes. (A) Results from 12% sodium dodecyl
sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis and
protein visualisation using Coomassie R-250. M, molecular weight marker
(kDa). (B) The samples were transferred onto polyvinylidene difluoride
(PVDF) membranes and immunodetected using the anti-GFP (1:1000)
antibody. Lanes 1-3: soluble protein fraction of non-transfected, empty
vector-transfected, and recombinant vector-transfected
(pSP72RαneoαLbNMNAT-GFP) promastigotes, respectively. (C) Direct
fluorescence was observed in the different cellular lines.
Soluble protein extracts from parasites expressing LbNMNAT-GFP were used to perform
co-immunoprecipitation experiments. To verify the dynamic nature of the PPI, two
independent and complementary biological replicates were performed using
asynchronous cellular cultures. To avoid unreliable positive results due to the
co-immunoprecipitation of unspecified proteins, a parallel Co-IP assay was performed
using soluble protein extracts from parasites that expressed GFP exclusively
(control experiment). The obtained samples were analysed by SDS-PAGE and western
blot. LbNMNAT-GFP was detected in each case, revealing that this protein can be
immunoprecipitated adequately and specifically from soluble extracts (Fig. 2).
Fig. 2:
Co-immunoprecipitation of proteins associated with the LbNMNAT
protein. (A and B) Co-immunoprecipitates from promastigotes expressing
only green fluorescent protein (GFP). (C and D) Co-immunoprecipitates
from promastigotes expressing recombinant LbNMNAT-GFP. (A and C) Results
from 12% sodium dodecyl sulfate polyacrylamide gel electrophoresis
(SDS-PAGE) analysis and proteins visualisation with colloidal Coomassie
(G-250). The box samples, corresponding to the immunoprecipitates, were
cut and analysed by Nano-LC-MS/MS. (B and D) Western blots obtained
after using anti-GFP primary antibody (1:500) and anti-rabbit biotin
secondary antibody (1:5000). 1. Clarified extract. 2.
Post-immunoprecipitation soluble proteins. 3. Immunoprecipitates. The
asterisks indicate possible products of processing or degradation of
recombinant LbNMNAT-GFP.
The co-immunoprecipitated proteins were analysed by nano-LC-MS/MS. Those common among
the biological replicates 1 and 2 along with those common with the control sample
but showing an upregulation of 1.5 fold or higher in the replicates are listed in
Table I. We identified 103 possible
interacting proteins, and the complete protein sets for all Co-IP-MS/MS experiments
are listed in Supplementary
data (Table). The putative functions of these
proteins were obtained from the databases UniProt, GeneDB, and TriTrypDB.
TABLE I
Co-immunoprecipitation in combination with mass spectrometry
(Co-IP-MS/MS) identified proteins in biological replicates 1 and
2
Protein
Uniprot access
Protein name
Score*
Biological replicate
Fold change**
1
A4H990
Nicotinamide mononucleotide
adenylyltransferase
16.83
1 and 2
-
2
A4HC91
Putative 40S ribosomal protein S15
19.01
1 and 2
-
3
A4HHS1
Alpha tubulin
7.16
1 and 2
-
4
A4HGX9
Putative heat-shock protein hsp70 (Fragment)
6.71
1 and 2
-
5
A4HMZ0
Putative cystathione gamma lyase
7.99
1, 2 and control
1.5; 5.5
6
A4H727
Tubulin alpha chain
19.83
1, 2 and control
7; 8
7
A4H868
Putative 40S ribosomal protein S3
5.93
1, 2 and control
2; 3
8
A4HLE6
Putative 40S ribosomal protein S3
5.93
1, 2 and control
2; 3
9
A4HIH7
Putative heat shock 70-related protein
1,mitochondrial
20.50
1 and control
1.5
10
A4HIH9
Putative heat shock 70-related protein
1,mitochondrial
20.50
1 and control
1.5
11
A4HN57
T-complex protein 1 subunit
13.56
2 and control
1.7
12
E9AIH1
Contig, possible fusion of chromosomes 20 and
34
7.11
2 and control
1.5
13
A4HCU5
Putative 3-ketoacyl-CoA thiolase
5.27
2 and control
3
14
A4HCZ3
T-complex protein 1 subunit gamma
36.55
2 and control
6.5
15
A4HQL2
Putative T-complex protein 1, theta subunit
12.16
2 and control
3
16
A4HK82
T-complex protein 1 subunit epsilon
21.02
2 and control
2
17
A4HP03
Putative translation elongation factor
1-beta
13.35
2 and control
1.5
18
A4HLC9
Tubulin beta chain
23.32
2 and control
2.2
19
A4HLD6
Beta-tubulin
8.47
2 and control
2.5
20
A4HLD1
Beta-tubulin
14.89
2 and control
1.6
21
A4HC48
Tubulin beta chain
23.32
2 and control
2.2
22
A4HLC8
Tubulin beta chain
23.32
2 and control
2.2
23
A4HNM6
EF2-1 protein
8.84
2 and control
1.5
24
A4HPQ8
Adenosylhomocysteinase
11.21
2 and control
3
25
A4HPQ9
Adenosylhomocysteinase
11.21
2 and control
6
26
A4H7T5
ENOL protein (Fragment)
5.72
2 and control
2
27
A4H7T6
ENOL protein
21.78
2 and control
2.3
*: identification value assigned by PatternLab for
Proteomics 4.0; **: label free quantification based
on spectral counting. Proteins 5-8 present two values corresponding
to fold changes between biological replicates 1 or 2
vs control sample, respectively.
*: identification value assigned by PatternLab for
Proteomics 4.0; **: label free quantification based
on spectral counting. Proteins 5-8 present two values corresponding
to fold changes between biological replicates 1 or 2
vs control sample, respectively.As mentioned, two independent Co-IP-MS/MS assays, using the soluble protein extracts
from LbNMNAT-GFP-expressing parasites were performed. The proteins identified in
each experiment were grouped and classified into six biochemical categories:
proteins involved in translation, protein folding, redox homeostasis, biosynthetic
processes, and other biological processes, and proteins with uncharacterised
functions (Table II). The observed variation
in the number of members per category could be attributed to the samples being
obtained from asynchronous cellular cultures in which the promastigotes can exhibit
relevant parasite development-related biochemical changes, which in some cases can
modulate biological functions. Fig. 3 shows the
functional category-based distribution of proteins identified using Co-IP-MS/MS in
biological replicates 1 and 2 together.
TABLE II
Co-immunoprecipitation in combination with mass spectrometry
(Co-IP-MS/MS) identified proteins classification into biochemical
functions
Biological replicate 1
Biological replicate 2
Biochemical function
Nº of proteins
Biochemical function
Nº of proteins
Translation
15
Translation
16
Protein folding
3
Protein folding
11
Biosynthetic processes
5
Redox homeostasis
3
Other processes
13
Biosynthetic processes
5
Uncharacterised
8
Other processes
23
Uncharacterised
10
Fig. 3:
the proteins identified by co-immunoprecipitation and mass
spectrometry (Co-IP-MS/MS) in the biological replicates 1 and 2 belong
to diverse functional categories.
Generation of a PPI network based on the LbNMNAT protein - Several
in silico methods have been developed to confirm the
interactions detected experimentally. The computational methods for PPI prediction
include approaches based on sequences, structures, chromosomal proximity, genetic
fusion, in silico double hybrid, phylogenetic trees, gene ontology,
and gene expression. Several web servers are available for the development of such
analyses.
In this study, we used an integrative approach for obtaining the physical
and functional associations to create a PPI network; accordingly, we used the STRING
web resource, which manages diverse sources of information facilitating a
comparative analysis.A PPI network for the LbNMNAT protein was generated (Fig. 4). The red node XP_001563913.1 (A4H990) represents the protein of
interest and the remaining nodes represent the proteins interacting with LbNMNAT
(Table III). The score for each node
represents the confidence for each association and is derived by comparing the
predictions and a reference set.
During the creation of this network, it was arbitrarily established that the
score of the minimal required interaction should be 0.4, employing all the sources
of information except textmining. To validate the selected score, a
PPI network based on the HsNMNAT1 protein was constructed, establishing two scores
of minimal interaction: 0.9 (high) and 0.4 (medium). Identical results, in terms of
number and identity of protein nodes, were obtained (data not shown). The physical
interaction of HsNMNAT1 with RNA-binding proteins and sirtuins has been
demonstrated,
,
thus validating our bioinformatics approach.
Fig. 4:
protein-protein interaction network of the LbNMNAT protein (STRING
V.10.5). Reliable type view. The strongest associations are shown with
thicker lines. Parameters: Score (0.4), no additional nodes; sources of
interaction used: experimental, databases, co-expression, co-occurrence,
gene fusion, and neighbourhood. LbNMNAT protein: node XP_001563913.1
(A4H990). Red: nodes associated with the metabolism of nicotinamide and
nicotinate. Blue: nodes with RNA-binding motif. Grey: proteins not
associated with cellular routes.
TABLE III
List of predicted LbNMNAT interacting proteins according to
STRING
*: access number in UniProt; **: access number in NCBI.
*: access number in UniProt; **: access number in NCBI.For LbNMNAT, we tested the same scores of minimal interaction (0.9 and 0.4) and
detected 5 and 11 protein nodes, respectively. Considering that the obtained
confidence scores were above 0.6 in the last case (0.4), the PPI network was
constructed using this score of minimal interaction to present a more expanded
network, which contains RNA-binding protein interactors, in accordance with our data
obtained from Co-IP experiments. Among the parameters that describe the topology of
the network, 11 nodes with a total of 16 connections, a 2.91 grade per node and a
clustering coefficient of 0.885 were found.The totality of the network proteins is predicted computationally from its nucleic
acid sequence and has not been demonstrated experimentally. This can be attributed
to the presence of high number of hypothetical proteins (~ 60%) in trypanosomatid
genomes.
Next, functional enhancement of the network was performed considering the
information from the KEGG, PFAM, and INTERPRO databases, from which data on the
biological routes and the predominant domains in the interacting proteins were
collected. Five of the proteins, including NMNAT, are related to the metabolic route
of nicotinate and nicotinamide, while four of the members exhibit RNA-binding motifs
(Fig. 4), in concordance with our
Co-IP-MS/MS experimental analysis.
DISCUSSION
Proteins carry out their cellular functions via concerted interactions with other
proteins, being PPI the basis of all biological processes. In this study, we found
that proteins with diverse cellular functions interacted with LbNMNAT, and this can
be explained by the cellular complexity, particularly the regulation of interactions
in response to a particular signal, stimulus, or specific cellular state.
Furthermore, they depend on many factors such as the stage of cellular development,
the cell cycle phase, external conditions, and the presence of other proteins.The LbNMNAT protein and its potential association with the ribosome
- In the functional classification of each set of co-immunoprecipitated samples,
proteins mostly related to translation were found; 31 sequences are related to this
process. Some of these are RNA-binding proteins or structural constituents of the
ribosome. To validate their potential connection with LbNMNAT, interactions already
characterised in others NMNATs of widely studied organisms were reviewed.In S. cerevisiae, for example, NMNAT1 interacts physically with the
RNA-binding proteins, MPT5 and HEK2 proteins.
Human HsNMNAT1 has been found to interact with RBM4B, another RNA-binding
protein which is also related to circadian regulation,
and with RPL30 (ribosomal protein L30), a structural component of the
ribosome. Furthermore, HsNMNAT1 interacts with STAU1, which is associated with
double-stranded RNA and can play a role in the specific positioning of the mRNAs in
specific areas of the cell.
Additionally, through the affinity capture-MS technique, the interaction of
HsNMNAT1 with the ribosomal proteins L11 (RPL11) and L22 (RPL22) was
identified.
These proteins are necessary for rRNA formation, maturation, and
processing.Currently, the significance of the interaction of NMNAT with the ribosome is unknown.
Further research focusing on the stability of the complex and the interactions among
their diverse components is essential because ribosome assembly and protein
translation are finely coordinated with cellular growth, proliferation,
differentiation, and development and because NAD is involved in all these
processes.The LbNMNAT protein may participate in the folding of other
proteins - Among the co-immunoprecipitated proteins, 14 candidates were
functionally related to the folding process. Cytoplasmic chaperones belonging to the
T-complex and heat shock proteins (Hsp70, Hsp83, and Hsp60 chaperonin) were found.
The Leishmania genome contains four genes encoding mitochondrial
chaperonins: two of them, CPN60.2 and CPN10, are orthologs of the bacterial
GroEL/GroES system. Pull down experiments for NMNATs in other organisms revealed
that the homologous NadD of E. coli interacts with GroEL
(Hsp60).Given the presence of T-complex proteins, a network of theoretical interactions was
created using the software STRING. A network of high reliability (p-value: 5.67e-05)
was obtained, with 10 nodes and 25 interactions (data not shown). This network
predicts coordinated interactions among the different chaperonins of L.
braziliensis, including the immunoprecipitated candidates. Potential
interaction of LbNMNAT can be related to its protein-folding capacity, as has
already been demonstrated in other NMNATs with chaperone functions independent of
its NAD-synthesizing activity.
This function can be considered as a response to stressful conditions,
specifically drastic temperature changes, which is important for the survival of the
parasite throughout its biological cycle.The NMNAT-chaperone interaction has been demonstrated previously. In H.
sapiens, HsNMNAT2 not only acts as a chaperone to reduce protein
aggregates but also interacts with Hsp90 to retract them.
Studies in Drosophila melanogaster have demonstrated that
its NMNAT is necessary for thermal tolerance and responses against oxidative
stress.
Additionally, regulation of DmNMNAT and Hsp70 under stressful conditions has
been shown to be considerably different at the transcriptional level, suggesting
that the NMNAT, which exhibits constitutive expression, may represent a different
class of stress-response proteins. Because it is a housekeeping protein, NMNAT is
available under normal conditions and can provide a primary response to a stress
condition, reducing the resulting proteotoxicity.LbNMNAT may be involved in redox homeostasis - The enzymes,
gamma-glutamylcysteine synthetase 1 (GSH1) and tryparedoxin peroxidase (TXNPx),
which are involved in redox homoeostasis, were also identified. Of these, TXNPx
presents a greater potential for interaction with LbNMNAT.The parasite can survive in the host owing to its redox metabolism, which counter
arrests the radicals produced by infected macrophages. To avoid cellular damage by
reactive oxygen species (ROS) and reactive nitrogen intermediates (RNI),
trypanosomatids possess peroxidases that reveal a unique characteristic in the use
of reducing equivalents derived from trypanothione. The combined action of TXNPx
with antioxidant enzymes is crucial for the maintenance of a low concentration of
H2O2, regulating the oxidative and nitrosative stress via
the displacement of reducing equivalents from NADPH to hydroperoxides and
peroxynitrites.
Functional analysis has revealed that TXNPx is involved in the antimony
resistance phenotype in L. braziliensis, suggesting that an
increase in the expression levels of this enzyme plays a role in the clinical
resistance to compounds derived from this element.Leishmania TXNPx has been studied previously,
,
,
,
and it would be interesting to investigate whether a physical association
exists among them. Co-IP assays have shown that the corresponding human homologues
interact with each other.
However, a direct interaction between these enzymes and the NMNAT protein
has not been observed, and the interaction in homologues of other species has not
been reported. Therefore, validation of a potential association through other
experimental strategies is necessary, allowing the generation of new information in
relation to metabolic routes and redox regulation under stressful conditions in the
parasite.LbNMNAT PPI network - Considering the PPI network, the proteins
linked to the nicotinate/nicotinamide metabolism show a functional association.
Among these proteins, putative nicotinate phosphoribosyltransferase (NaPRT)
(XP_001567885.1) and putative NAD synthase (NADS) (XP_001567539.1) showed the
highest scores. These enzymes belong to the salvage pathway of NAD synthesis. The
substrate for NaPRT is nicotinic acid produced by nicotinamidase, which has been
experimentally characterised.
The product of the NaPR-catalysed reaction is nicotinic acid mononucleotide,
the subsequent substrate of LbNMNAT. NADS catalyses the conversion of the LbNMNAT
product, NAAD, into NAD, thus completing the salvage pathway. The three proteins
(NaPRT, LbNMNAT, and NADS) act in series, which explains their high scores.SIR2 in other Leishmania spp. has been studied previously,
and the parasite is known to express three sirtuins: SIR2RP1, SIR2RP2, and
SIR2RP3.
After using the databases BioGRID and IntAct and identifying the homologues
that interact in other species, it was found that human NMNAT1 physically interacts
with SIRT1
and NMNAT2 interacts with SIR4 in S. cerevisiae.
Some authors have hypothesised that the close physical proximity of NMNAT1
and SIRT1 facilitate the most efficient use of NAD, probably through a
substrate-channelling mechanism. Some mention that the enzymes involved in NAD
biosynthesis can form a complex between this molecule and SIRT1, creating a
micro-domain of high concentration of NAD that allows the regulation of sirtuin
activity.
Through direct validation, it would be interesting to study whether the
physical interaction of NMNAT-SIR2 occurs in Leishmania.We also found four RNA-binding proteins in the network. Their linkage was the product
of relating homologous neighbour genes in other genomes (neighbourhood) and of the
interaction of putative homologues in other species (Campylobacter
curvus). The common characteristic of these proteins is that they all
exhibit the RRM motif, found in several RNA-binding proteins. Our experimental
results, in which 31 co-immunoprecipitated proteins (identified by MS) correspond to
RNA-binding proteins, are in accordance with the constructed network. Furthermore,
previous studies have also shown interactions between NMNATs and this type of
RNA-binding proteins.The Co-IP-MS/MS experiments and the STRING prediction showed a low overlap in terms
of number and identity of the interacting proteins. This variation may be because
the Co-IP-MS/MS experimental approach is based on sensitive instruments such as mass
spectrometers, resulting in the high number of identified proteins in contrast with
the STRING data. Although the Co-IP-MS/MS and bioinformatics data are not identical,
both approaches indicated that the translation process is a common biochemical
category to find the proteins interacting with LbNMNAT. Therefore, further studies
are warranted to identify these interactors and investigate their physical
interactions and to corroborate the results via other experimental techniques such
as reciprocal pull down assays.In conclusion - Using experimental and computational methods, we
developed an integrated model of protein-protein interactions of the LbNMNAT enzyme.
The model indicates the interaction of proteins related to a wide range of cellular
activities, including protein folding, redox homeostasis, translation, and NAD
synthesis. Our results expand the knowledge of NAD metabolism in L.
braziliensis and offer new directions for scientific exploration, from
an interactome point of view.
Authors: Tong Zhang; Jhoanna G Berrocal; Kristine M Frizzell; Matthew J Gamble; Michelle E DuMond; Raga Krishnakumar; Tianle Yang; Anthony A Sauve; W Lee Kraus Journal: J Biol Chem Date: 2009-05-28 Impact factor: 5.157
Authors: R Grace Zhai; Yu Cao; P Robin Hiesinger; Yi Zhou; Sunil Q Mehta; Karen L Schulze; Patrik Verstreken; Hugo J Bellen Journal: PLoS Biol Date: 2006-11 Impact factor: 8.029
Authors: Christian von Mering; Lars J Jensen; Berend Snel; Sean D Hooper; Markus Krupp; Mathilde Foglierini; Nelly Jouffre; Martijn A Huynen; Peer Bork Journal: Nucleic Acids Res Date: 2005-01-01 Impact factor: 16.971