Welcome to the proteomics course; in today's
lecture, we will talk about post translational
modifications, a structural proteomics,
role of bioinformatics, challenges and future
direction of proteomics. So, let us start
with PTM's post translational modifications
are vital cellular control mechanisms known
as cellular switches that affect protein properties
such as protein folding
conformation activity and functions; as a
result, they play very important role in various
diseases.
The protein complexity arises due to gene
splicing and post translational modification.
Once the protein is synthesised by the
ribosome from its corresponding MRNA in the
cytosol, many proteins get directed towards
the endoplasmic reticulum for further
modification, certain NLC terminal sequences
are often cleaved in the endoplasmic reticulum
after which they are modified by
various enzymes at specific amino acid residues.
These modified proteins then undergo proper
folding to give functional proteins
due to these modifications the number of proteins
are three orders of magnitude higher than
the total number of genes encoded in
genome.
There are several types of post translational
modifications that can take place at different
amino acid residues. The most
commonly observed PTM's include phosphorylation,
glycosylation, methylation as well as hydroxylation
and acylation. Many of
these modifications particularly phosphorylation
serves as regular mechanism for the protein
action. PTM's generate tremendous
diversity and are extremely important.
Many documented effects of post translational
modification include change in enzymatic activity,
ability to interact with other
proteins sub-cellular localization and targeted
degradation.
The final structure of functional proteins
most often does not correlate directly with
the corresponding gene sequence. This is
because of PT Ms that occur at various amino
acid residues in the protein which cause changes
in interactions between the amino
acid side chains thereby modifying the protein
structure, it further increases the complexity
of the proteome as compared to the
genome. The protein phosphorylation acts as
a switch to turn on or turn off the protein
activity and governs wide range of
polypeptides from transcription factors enzymes
to cell surface receptors.
The reversible phosphorylation of proteins
catalyzed by kinases and phosphatages regulates
important cellular function.
Phosphorylation of amino acid residues is
carried out by a class of enzymes known as
kinases that most commonly modified side
chains of amino acids containing a hydroxyl
group. Phosphorylation requires the presence
of a phosphate donor molecule such as
ATP , GTP or other phosphorylated substrates.
Serine is the most commonly phosphorylated
residue followed by threonine and
tyrosine. The removal of phosphate groups
is carried out by phosphatase enzyme and it
forms one of the most important
mechanisms for protein regulation. Glycosylation
involves leaking saccharides to proteins in
presence of glycosyl transferases
enzymes giving rise to a glycoprotein.
Glycosylation play vital role in various biological
functions, such as antigenicity of immunological
molecules cell division protein
targeting stability and interactions. The
aberrant glycosylation forms resulting to
various human congenital disorders.
Depending on the linkage between the amino
acid and the sugar moiety. There are four
types of glycosylation and N linked
glycosylation, O linked glycosylation, C mannosylation
and glycophosphatidylinositol anchored GPI
attachments. Glycosylation
involves the enzymatic addition of saccharide
molecules to amino acid side chains.
This can be of two types N linked glycosylation,
which links sugar residues to the amide group
of asparagine and O linked
glycosylation which links the sugar moieties
to the hydroxyl group of serine or threonine.
The glycosyl transferase enzymes
catalyze these reactions sugar residues that
are attached most commonly include galactose,
mannose, glucose and acetyl
glucosamine etcetera. There is a growing interest
in proteomics community to decipher the role
of PTMs in various biological
contexts.
Detection of subtle PTM changes post challenge
to even advanced proteomic techniques there
are many approaches ranging from
gel based techniques mass spectrometry, microarrays
that are currently used to a steady post translational
modification. We will
discuss some of these techniques one by one.
The protein phosphorylation can be detected
using gel based detection technique, protein
separated on a two d gel are placed in
effective solution containing methanol and
acetic acid which fixes the protein bands
on to the gel and minimizes any diffusion.
They are stained using pro q diamond staining
solution which selectively stains only phosphoproteins
on the gel, excess stain is
washed off with solution of methanol and acetic
acid. The stain gel is a scanned at it excitation
and emission wavelength using gel
scanner. The gel image obtained shows the
protein bands corresponding to only the phosphoproteins
which are present image can
be saved and gel is removed from the scanner
for treatment with the second stain.
A procedure known as dual staining this gel
is placed in sypro ruby a red fluorescent
dye solution, then dye stains all the protein
spots present on the gel thereby providing
a total protein image where sensitivity down
to nanogram level. Excess dye can be
washed off using methanol and acetic acid
the gel is stained with sypro ruby red it
is scanned in gel scanner at it is excitation
maxima. Image produced will have more number
of spots since all the proteins present on
the gels can be detected, this dual
staining procedure provides a useful comparative
profile of the phosphoproteins and total proteins
on the gel and enables
detection of phosphorylated proteins.
Proteins phosphorylation is widely detected
using enological or enzymatic techniques protein
mixture containing phosphorylated
as well as other modified forms can be separated
by electrophoresis. SDS page and two-dimensional
gel electrophoresis are most
commonly used for protein separation, these
separated proteins on the gel are used further
analysis.
The separated protein bands are blotted onto
a nitrocellulose membrane those membranes
are then probed either by means of a
specific entire phosphoamino acid antibodies
or more recently by using motif antibodies
that specifically bind to proteins having
phosphorylation at a particular amino acid
residue.
This binding interaction can be detected by
using suitably labeled secondary antibodies
or by autography using radioactive
probes. Therefore, use of immune blotting
techniques has been shown to be extremely
effective for detection of post translational
modifications. The gel based approaches are
convenient to use however, it has few drawbacks
with regards it is limit of detection,
membrane proteins localization of modification
sites robustness, sensitivity and gel to gel
reproducibility.
Characterization of these resolved proteins
subsequently requires other techniques, such
as mass spectrometry to identify the
proteins. The shotgun based mass spectrometry
methods have accelerated identification of
proteins and post translational
modifications from complex mixtures, protein
mixture is digested with proteolytic enzyme
such as trypsin and result in peptides
can be analyzed by MALDI TOF or LC MS MS the
top down mass spectrometry involves analysis
of intake protein using high
resolution mass spectrometry techniques.
High resolution, MS platforms such as fticr
MS orbitrap MS with PTM friendly dissociation
techniques, such as electron capture
dissociation and electron transfer dissociation
etd are commonly used. PTMs can be detected
by means of mass spectrometry due
to the unique fragmentation patterns of phosphorylated
serine and threonine residues. The modified
protein of interest is digested
into small peptide fragments using trypsin,
this digest is then mixed with a suitable
organic matrix such as alpha cyano four
hydroxyl cinnamic acid sinapinic acid etcetera.
And then it is spotted onto MALDI plate the
target plate containing spotted matrix and
analyte is placed in a vacuum chamber
with high voltage and short laser pulses are
applied. The laser energy gets absorbed by
the matrix and is transferred to the analyte
molecules which undergo rapid sublimation
resulting in gas phase ions, these ions are
accelerated and travel through the fly tube
at different fields the lighter ions move
rapidly and reach the detector first while
the heavier ions migrate slowly.
The ions are resolved and detected on the
basis of their m by z ratio and a mass spectrum
is generated. Identification of post
translational modification by MS largely lies
in interpretation of results.
Comparison of list of the observed peptide
masses from the spectrum generated with expected
peptide masses enables the
identification of those peptide fragments
that contain any post translational modification
due to added mass of a modifying group.
In this hypothetical example two peptide fragments
are found to have different m by z values
differing, by 80 daltons and one 60
daltons. It is known that the added mass of
a phosphate group causes an increase in m
by z of 80 daltons therefore, this principle
of mass difference enables the detection of
modified fragments. Affinity based enrichment
immune purification and metal affinity
chromatography are commonly employed for purification
of proteins containing specific PTMs.
Immobilized metal affinity chromatography
IMAC elemental oxide affinity resin such as
titanium dioxide fe 3 or 4 are also
commonly used for the enrichment of phosphoproteins.
A protein phosphorylation experiment is shown
here, the complex protein
sample is loaded onto a miniaturized affinity
column which interacts a specifically with
proteins having the post translational
modification of interest. The IMAC chromatography
columns containing ions such as zinc iron
titanium dioxide specifically
kylate the phosphorylated proteins.
The unwanted proteins are removed by washing
the column with a suitable buffer solution,
after which the phosphorylated
protein of interest can be eluted out by modifying
the buffer solution.
The protein purified by liquid chromatography
is then subjected to tryptic digestion followed
by analysis using tandem mass
spectrometry. Here, I have demonstrated the
use of MALDI TOF TOF MS for resolution of
the generated ion fragments,
separation is based on the fly time of the
ions and greater is achieved due to the presence
of two mass analyzers. The peptide ion
spectrum generated is analyzed by comparing
it with the expected spectrum thereby, allowing
determination of modified peptides
having different m by z values. The metabolic
labeling methods such as silac is used for
label based quantitation of PTMs.
However, this strategy can only be used for
the living cells other chemical labeling methods
such as itraq is also used for PTM
analysis.
Another technique protein microarrays is one
of the versatile platforms for high throughput
screening of post translational
modifications. Kinases have been used in number
of ways to analyze protein phosphorylation,
PTMs can be detected on protein
arrays by using kinase assay. Potential substrates
for protein phosphorylation are immobilized
on a suitable coated array surface
kinase enzyme and gamma P32 labeled ATP are
then added and array is incubated at 30 degree
centigrade.
The phosphorylation reaction occurs at those
sites containing proteins that can be modified.
After sufficient incubation excess
unbound ATP and enzyme are washed off the
array surface detection is carried out by
means of autoradiography, where in a
photographic film is placed in contact with
the array surface. The radioactive emissions
from the phosphate label present at the
phosphorylated protein sides strike the film
upon development the positions at which phosphorylation
has occurred can be clearly
determined.
Thus, proteome chip technology offers a useful
platform for detection of phosphorylated proteins,
antibodies specific to
phosphorylated serine, threonine or tyrosine
residues as well as motif antibodies can be
immobilized onto a suitably coated micro
array surface and used for detection of post
translational modification. The complex protein
mixture containing modified and
unmodified proteins is labeled with a suitable
fluorescent tag molecule and added to the
array surface.
A Specific binding interactions occur between
the phosphorylated proteins and their corresponding
antibodies, arrays washed to
remove any excess unbound proteins from the
surface. This is followed by scanning of the
array using a microarray scanner at a
suitable wavelength do detect the fluorescent
tag of bound proteins. This method offers
sensitive and simultaneous detection of
large number of post translationally modified
proteins.
For glycosylation studies different types
of micro array platforms such as carbohydrate
array, lectin arrays, glycoprotein arrays
and other array formats have been used.
Studying PTM's is still remains challenging
many advance proteomic technologies have attempted
to bridge this gap. However,
no single technique can be solely relied for
screening all the PTMs in a given biological
question. The genome wide approach to
determine and predict the atomic resolution
three dimensional structures of protein which
is known as structure proteomics aims
to provide better understanding of protein
structure function relationship, as well as
new rational for structural biology. The
technical advances in protein structure determination
by X-ray crystallography nuclear magnetic
resonance NMR spectroscopy
imaging technologies and computational methods
are very helpful to annotate the structure
and biochemical function of protein
on a genome-wide scale.
Protein purification is required for the structural
analysis, the first step in determining a
protein structure using X-ray
crystallography involves protein purification.
Advances in molecular biology have allowed
cloning and expression of proteins in
heterologous system for example, E Coli S
cerevisiae and various tag such as histidine
six tag, glutathione S transferase , GST and
maltose binding protein MBP. These tags have
been used for the affinity chromatography
based protein purification the large
scale protein production involve TDS cloning
expression and purification steps.
Over expression in host cell encounters several
drawbacks such as incorrect folding inappropriate
post translational modifications
and formation of insoluble aggregates and
inclusion bodies. A large number of approaches
such as refolding chromatography
which chaperones and cell free expression
system for protein production have been used
to overcome these problems. The X-ray
crystallography method provides information
on 3D structure of well diffracting protein
crystals in a very short time.
The basic crystallography set up used in XRD
is shown here, in this technique the purified
protein sample is first crystallized, for
crystallization protein solution is mixed
with crystallization buffer and crystallization
drop is equilibrated with equilibration buffer
at constant temperature.
This process takes few days to several weeks
the protein crystals are irradiated with x-rays
producing diffraction patterns that
ultimately, provides amplitudes and position
of scattered waves, multiple isomorphous replacement
MIR and multiple wavelength
anomalous dispersion MAD methods are primarily
used to resolve the structure in form of an
electron density map. Although to
date the process of protein crystallization
has not been amenable to high throughput.
However, this view is changing and evolution
of XRD screening for drug discovery is rapidly
moving, various proteases have
been examined structurally by using XRD the
aspartic proteases or acid proteases primarily,
contained beta sheets and utilized
two aspartic residues to catalyze proteolysis
at low ph.
Broadly they are divided into two groups two
domain pepsin like proteases and dimeric retroviral
proteases, one of the solved
structure of histo aspartic protease HAP and
HAP pepstatin a complex is shown here. In
a structure biology nuclear magnetic
resonance NMR spectroscopy is one of the techniques
of choice for protein structural determination.
This is a useful technique to
measure proteins in their native state, characterized
protein protein and protein DNA interactions
as well as determination of
protein dynamics.
NMR has been employed for the proteomics and
initial target selection. Screening by NMR
identify lead compounds which are
capable to inhibit protein protein interactions,
which is a very challenging task in drug discovery.
It is able to determine three
dimensional structures and employed in enough
stream processes of the drug discovery pipelines.
As the name suggests the elements of nuclear
magnetic resonance are nuclear the physical
phenomenon which involves the nuclei
of atoms, magnetic ,effect in a magnetic field
and resonance which is absorption of energy
at a defined frequency. The simplest
NMR spectrometer can provide a spectra, which
is suitable to determine the presence or absence
of some functional groups
through chemical shift data. It can also provide
evidence through coupling constant data and
conformational relationships.
Advancement in NMR techniques such as two
dimensional NMR techniques transverse relaxation
optimization spectroscopy
TROSY for applications with biological macromolecules
provides much better sensitivity line width
and enables resolving
resonance overlaps for larger proteins complexes
as well as membrane proteins. NMR field is
still evolving rapid and promising
developments at various fronts are likely
to improve the speed and quality of data and
structure determination.
Use of both XRD and NMR method allows to obtain
the structural information from a wider range
of proteins then either
methods alone NMR is rapid non-destructive
uses small of amount of sample and does not
require TDS sample preparation, such
as making crystals and large amounts of purified
protein samples. On other hand XRD it has
the advantage of defining the ligand
binding sites with more certainty, imaging
techniques such as electron microscope and
electron tomography are also used to
obtain crucial information regarding protein
subunit shape contacts and proximity.
When the size of protein crystal is insufficient
for X-ray diffraction analysis but, they are
visible in light microscope at several
hundred fold magnification, electron microscopy
represents a good alternative to obtain low
resolution images.
Electron crystallography determines the structure
of macromolecular complexes or membrane proteins
which are difficult to
crystallize in the 2D crystal state by cryo
transmission electron microscopy imaging.
Although, the resolution obtained from
electron crystallography is often lower than
X-ray crystallography.
However, it is useful for the analysis of
protein structure embedded in a native membrane
environment. Electron tomography
technique is capable to provide three dimensional
images at molecular resolution with best possible
preservation of the specimen.
Application of electron tomography to obtain
three dimensional view of the proteome of
single unstained cell in frozen state has
been demonstrated. Another means of imaging
biological samples with molecular resolution
is by using atomic force microscopy
or AFM.
The imaging techniques have demonstrated their
applications in a structure proteomics and
utility as potential alternative of X-ray
crystallography but these techniques are time
consuming laborious and needs to be automated
for high throughput use.
Development of hybrid approaches for electron
tomography and maximum resolution will advance
the structure proteomics
research. The complimentary approach to structure
proteomics is computational method simulations
to predict the structure and
biological function of an uncharacterized
protein computational method rely on structural
homology of unknown protein from
proteins with known structure and biological
function.
By relying on such methods for structure function
correlations it is possible to predict biochemical
function of uncharacterized
proteins based on structure homology to another
protein with a known function. Recent advancement
in proteomics and other
omic technologies allow large scale analysis
of biological samples and generate an unprecedented
amount of digital data. In
different modules we have discussed different
bioinformatic tools and software for analyzing
proteome and system level
investigation using two dimensional electrophoresis
mass spectrometry, microarray and surface
plasmon resonance.
Computational challenges associated with proteomic
studies have recently emerged as some of the
most critical and limiting
factors in this rapidly evolving discipline.
Bio informatic tools have been widely used
for protein sequence analysis, it is also
used
for protein motif detection and epitope prediction;
active site determination determining transmembrane
domains as well as
identification of DNA binding residues.
Database designing is done at various levels
such as physical logical and conceptual at
the physical level the purpose of the
database is defined which is in accordance
with the proposed usage at the logical level,
the tables attribute of the tables and data
types are defined at the view level the views
and appearances of the databases are defined.
A typical biological database can be characterized
by it is type and it is tool the type defines
the category of data that it includes
such as sequence domains or structure. This
implies that the particular database is most
prominent feature includes either
sequences, domains or structure and it is
particular used for their analysis. The analysis
tool defines the platforms that the site will
provide for gaining an insight into the protein
data.
For extracting the protein information from
database users can give a variety of input
terms, these can be unique ID molecular
name amino acid, sequence, keyword, literature
gene, taxonomy etcetera.
Once the user submits the query the output
can be of multiple formats the generalized
information that users can obtain from
protein databases is general description of
the protein molecule. The generalized information
that users can obtain from protein
databases is general description of the protein
molecule annotation of the protein name and
description of the gene that transcribe
them. ID of the same protein in other relevant
databases details of the experiment conducted
for characterizing proteins, details
of proteins secondary structures, details
of the organism which was used as a source
for obtaining the protein and citations of
research conducted.
Database analysis tools there are different
kinds of analysis can be conducted on a given
protein sequence the query can be
protein name, sequence or any other identifier
of the protein. Various kinds of results output
can be obtained identity of protein
from sequence, identify physicochemical properties,
molecular weight, isoelectric point, sequence
tag information. Similarly,
search algorithms such as versions of blast
fasta and multiple sequence alignment. Finding
conserved and variable domains in the
protein to study its evolutionary relationship
with other proteins molecular modeling and
visualization tool; secondary and tertiary
structure prediction and structural analysis,
biological text analysis such as biomedical
acronyms, gene, protein synonyms
etcetera.
Database mining in proteomics and visualization
tools collective improvement in any research
field can be accelerated by sharing
scientific data among different research probes
across the world. Seeing as it allows other
researches to access validate and
reanalyze once finding and correlate the results
with their own observations.
Data management is critical when you using
high throughput proteomic techniques several
internet databases have been
established to collect the proteomic data
sets. Data enabled life sciences alliance
DELSA is a timely and important initiative
to
create a common data bank where on one hand
we can access the huge data set generated
by various research groups, on other
hand we can also deposit our data sets which
may be useful for a wide range of researches
working in similar fields. At present
the brought field of DELSA in compasses biological
sciences, ecology, environmental sciences,
evolution, genomic and
proteomics, computer sciences, cyber infrastructure,
management , health sciences and policies
for global distribution. Let us
discuss some of the challenges encountered
by various proteomic technologies.
Let us start with gel based proteomics, the
gel based technological approaches are routinely
used in proteomics research
primarily, used for protein separation characterization
as well as quantitation. Major challenges
associated with gel based
proteomics includes poor reproducibility,
limited sensitivity and dynamic range of 10
to the power 3 to ten to the power 4 and less
coverage of complex proteome, low throughput,
biasness in, analysis process, time consuming
and highly dependent on
performers technical skill.
The poor reproducibility of classical 2DE
owing to the extensive gel to gel variations
has been partially, resolved by the
introduction of advanced two dimensional difference
in gel electrophoresis. In recent years the
detection approach is for gel
based proteomic techniques have also improved
tremendously to capture the low abundance
protein biomarkers in different
biological fluids. Apart from the traditional
coomassie brilliant blue or silver staining
more sensitive and superior staining reagents
post electrophoresis, a pico cone fluorescent
dyes like lighting fast and deep purple as
well as pre electrophoretic fluorescent
dyes, such as cyanine dyes have been introduced
to increase the dynamic range and coverage
in gel-based proteomics.
Mass spec based proteomics the MS based proteomics
encounters the following biological problems
while analysis of huge
number of proteins. Fragile nature of proteins
substantial losses occurring during the sample
collection and processing steps
presence of multiple iso forms of single protein
the wide dynamic range of protein concentration
in biological fluids, presence of
high-abundance proteins masking low abundant
marker proteins additionally the technological
limitations associated with most of
the commonly used MS based approaches.
Include typical dynamic range of only 10 to
the power 2 to then to the power 4 inadequate
coverage of whole proteome unless
sample is fractionated intensively, low throughput
and issues of robustness and cost or fitting
the data machine fluctuation
instrument noise and contaminants in a spectrum
and lack of standard procedure for analysis
and interpretation of MS and MS
MS spectrum, to overcome these technological
challenges different novel and amalgamated
approaches have emerged in last few
years.
The most promising advancements include large
scale quantitative proteomics culture derived
isotope tags and super-silac based
technology. Multiplexing tandem mass tags
TMTs and itraq 8 plexing quantitative accuracy
label-free LC MS MS. Low sample
consumption and large scale analysis chip
based and nano LC MS sensitive quantitation
of proteins within complex pictures
biomarker discovery multiple reaction monitoring
MR MS large scale biomarker discovery etcetera.
Array-based proteomics, array-based proteomics
such as protein and antibody microarrays on
which thousands of discrete
proteins are printed provide an important
platform for large scale functional analysis
of the proteome. Although, due to it is high
throughput capabilities array-based proteomics
have attracted tremendous attention in clinical
research. However, it has quite a
few technological challenges, the challenges
include protein printing acquisition array
and a stable attachment of proteins to array
surfaces and detection of interacting proteins
for biomarkers miniaturization of assays,
and protein dehydration, nonspecific
binding, unavailability of highly specific
antibodies against all the proteins that comprise
the complex proteome and lack of direct
correlation between protein abundance and
activity.
Label-free detection techniques label-free
detection approaches surface plasmon resonance,
SPRI ellipsometry based and
interference based techniques and microcantilevers,
which dependent on measurements of an inherent
property of the query
itself, such as mass and dielectric property
are capable of multiplexed detection, which
is the central requirement for high
throughput proteomics applications particularly,
it is relevant for protein antibody microarrays.
Now-a-days label-free detection techniques
are gaining popularity due to their simplicity,
real time detection, elimination of the
necessity of secondary reactants and lengthy
labeling process. Although, label-free detection
techniques are very promising and
potential candidates for real time measurements
of low-abundance analytes and protein-protein
interactions issues regarding
sensitivity and specificity remains to be
addressed in future.
Additionally costly fabrication techniques,
morphological anomalies of sample spots and
insufficient knowledge regarding the
exact working principle of label-free biosensor
often restrict, they are use in practical
clinical applications. Nanoproteomics in
order to circumvent multiple technical limitations
associated with sensitivity, dynamic range,
detection time and multiplexing.
Proteomics has integrated nanotechnological
approaches such as, carbon nanotubes and nanowires,
silicon nanowire field, effect
transistor, quantum dots, gold nanoparticles,
nanocages etcetera which has lead to the establishment
of a novel analytical
platform known as nanoproteomics.
Presently, nano proteomics is at a proof of
principle concept level and having following
limitations toxicity, biosafety and
biocompatibility issues associated with the
use of nano structured materials. Inadequate
knowledge on precise mechanisms of
action for the regularly used nano materials,
in solubility in biologically compatible buffers
and condition presence of metallic
impurities and lack of standard protocols
for determining degree of purity of synthesized
nano tubes and nano wires. Biomarker
discovery detection of low-abundance proteins;
biomarkers biomolecules that can be used for
early disease detection
discrimination between different diseases
or different stages or severity of same disease
as well as aits in monitoring disease
progression.
Despite various advancements they still there
are multiple biological and technological
challenges for the existing proteomic
technologies commonly, used in disease biomarker
discovery. The formidable limitation include
pre-analytical variation at sample
collection handling and storage process, complexity
of biological samples due to the dynamic range
of protein concentration,
presence of high-abundance proteins, masking
low-abundance marker proteins, presence of
high salt level and other interfering
components in most of the biological samples
insufficient sensitivity of the detection
technology and lack of throughput and
multiplexed detection ability, to overcome
the basic technological limitations a combination
of separation detection and labeling
strategies such as a strong caution ion exchange
for separation icat itraq TMT etcetera.
For labeling, nanoparticles like nano wires,
nano tubes and quantum dots, single amplificat
ion and enrichment of low-abundance
proteins have evolve to effectively enrich
this discipline and provides an attractive
opportunity for sensitive multiplexed
detection of low-abundance disease specific
protein biomarkers.
How to convert your proteomic discovery into
products services and business ventures the
practical insights and experiences
from practicing science entrepreneurs let
discuss with a colleague and shown in following
video clip. So, you have an invention in
sometimes, we scientist think that you know
that is the most of important part that actually
let me, just talk either ideas have
diamond. I show already know there is many
ways of measuring bio molecular interaction.
So, in the an it is all about execution
can you actually get it into something that
will become a product that we will sell because,
So, let us talk a little bit about how
science becomes a product basically, we said
that science is not the famous technology
and it is not the famous as a product and
we talked about what are the differences,
and the typical pitfall the we scientist have
is to do what is called technology push. I
invented this device the world is dying to
have this device or sometime they say if you
build it they will come actually, that is
not
really true right, because people do not really
know what is the best thing out there.
Until already available how they are going
to know like what you have in your mind and
what your about. But even if you
already have the device it is really trying
to understand that is world really feel like
they need it and would like to they needed
enough to put money to buy it and that is
called the market pull. What does the market
really need? That is right. Sure. Yes
So, in my diffraction sensor example, we have
that in my lab and I said I am, I mean instrument
developer. We build instruments
and I have never done anything commercial
before, because I feel like well I do not
know they does does everybody just make
one of this it was not until a colleague challenge
me and say like look if you have that I will
use it that I really realize oh there is a
need for it.
But, now science does not become a product
fast in this commonly or just get yourself
an exercise when you have a new science
development how long is it to take to get
it to the market and you are may be do it
the other way around look at anything around
you and try to see when was the revolutionary
science developed and what you find is probably,
we will talking fifty years and
that is so long time.
So, why is it long time well, it is because
there was probably the many issues but, part
of it is the there is nobody pushing to
create the product. Yes fundamental science
was published but, based on it there is need
when people actually realized and then
push it to developing product it took a long
time right, so many time.
Well in but, we do not speak the same language
the person making products and person writing
the papers do not even see eye to
eye and in fact, for many for the first part
of my career I was a basic scientist, but
I wanted to help company so, I would go to
companies and say yes well, I am a surface
comes I know how to solve the that is a simple
problem. It is just in my paper but,
nobody reads my papers. So, it is like that
you the scientist who was interested in creating
a company is the best conjugate to
think about your science, look at the market
and then see how you create that product.
So, that is really is I mean understanding
if you understand that knowledge benefit society
only if you have a tangible object or process
or something.
So, what will be your message to the students
who are just beginner in the innovative in
the lab.
Well So, there is a lot of talk about invention
likely, invention is about knowledge becoming
benefits to society, for us scientist
this path is I think clear because nobody
talks about the path, but in my mind the path
is clear we are all in the left hand here
as
engaging a knowledge generating this basic
science, benefits to society is on the right
hand side. So, the question is how do you
get from science to benefits to society and
may as I said you turn it first to technology
you turn it then into product that benefits
to society to turn science to technology is
really gap in there.
And I think that is best done within universities
within the basic researchers because we are
the once who know best what the
science is. So, hopefully in even if you are
wanting to become a professor instead of founding
a company being aware of the fact
that there is this translation process and
being aware of the needs of the market well
actually, move this thing closer because we
would like to make sure that instruments get
there faster. So, if you just think for example,
that MRI which is a very useful
instruments magnetic resonance. The concept
has been around since, 1930 the first NMR
was in 1930 the MRI went to the
market in 1986 that is you know 50 years.
If you can reduce that by 5 years that 5 years
less of suffering is actually, be a good thing.
So, we should all do this translation
part. So, I hope with the lady as probably
now, we are in the year of omic research where
lot of things are happening in high
throughput level and transforming some of
these technologies sooner in the market can
actually revolutionize lot of fundamental
issue. Yes that is right. Well, and it is
you are facilitating researcher or you are
going directly to the public
Question really is to keep your eyes open
to say what is needed by somebody else and
then you can ask the question now, how
can I get what I know to what is needed? Sure.
So, thank you very much Cynthia for very stimulating
discussion and we got
perspective of a scientist and entrepreneur,
thank you very much.
During the last decade this emerging field
has propelled its growth eventually, in every
aspect of modern biological research.
Impending future of this promising research
area will highly depend on the collaborative
initiatives at global level and
establishment of effective data repositories
accessible to the proteomics researches across
the world.
In 2010 human proteome organization hupo has
launched a global human proteome project HPP
this project is design to map the
entire human proteins encoded by the genome.
Let us now, discuss some of the targeted focused
initiatives the human liver
proteome project this is the first initiative
of human proteome project for human organ,
tissues with an intention of generation of
comprehensive protein atlas of the liver and
international liver tissue network. Collection
and distribution of normal liver sample
and validation of new discoveries, human plasma
proteome project analysis of the protein constituents
of human plasma and
serum; human brain proteome project BPP focuses
on the revolution of the brain related proteomic
alteration focusing on
understanding neurodegenerative disease aging
and identification of prognostic and diagnostic
biomarkers.
Human kidney and urine proteome project aims
to understand kidney function mechanism of
chronic kidney disease at a protein
level and discover biomarkers and target molecules
for new therapeutics of kidney disease.
Over the last decade proteomics research is
progressing in different regions of India
with a considerable interest. India is playing
an increasingly significant role in global
genomics and proteomics research and development.
As it is evident from research
publications and patents, Indian government
is also supporting the basic and applied proteomics
as well as other omics based
research and multiple national and international
funding agencies are providing investments
on existing and new research projects
considering this space of emerging proteome
level research.
It can be anticipated that in coming future
some amicable solution for the existing limitation
associated the bergionic field of
proteomics will come forward through worldwide
research initiatives and this discipline will
become more robust, sensitive,
reliable, rapid, cost-effective and user friendly
for resolving real-life biological problems.
Hope this course has given you
foundation for proteomic concepts and enthused
you for research in proteomics area thank
you.