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A second messenger is a small intracellular molecule or ion that relays a received signal to target proteins. Its production, release, removal or binding changes its availability after signal reception. For a cell-surface receptor, distinguish the extracellular ligand, often called the first messenger, from the intracellular second messenger. An activated relay protein is not thereby a second messenger: the term identifies small chemical mediators, rather than every downstream component of signal transduction. ^[ref]

Two examples clarify what changes. A biological cell can make cAMP from ATP; alternatively, release of stored calcium ions can raise the free calcium concentration in its cytoplasm. The latter need not increase the total calcium content of the biological cell. Availability to target proteins, not merely the total amount present, carries the message. Removal and sequestration help terminate such signals. ^{[ref] [ref]}

The experimental motivation is unusually tangible: can a hormone's effect be transferred to machinery that barely responds to the hormone itself? In Rall, Sutherland and Berthet's 1957 experiment, washed cat-liver particles were incubated with ATP and magnesium ions, with or without epinephrine and glucagon, two hormones. After five minutes at $30{}^{\circ }\mathrm{C}$, the mixtures were heated in boiling water for three minutes, chilled, and separated to remove insoluble material. Small samples of the clarified extracts were transferred to a separate soluble dog-liver preparation, again supplied with ATP and magnesium ions. The readout was the change in glycogen phosphorylase activity over five minutes, not the amount of newly synthesized protein. ^[ref]

The hormone-conditioned extract caused a larger increase in glycogen phosphorylase activity. Water, extract made without hormones, and hormones added directly to the soluble preparation produced smaller effects. These comparisons distinguish transferred activity from baseline activity, preparation effects and simple hormone carryover. ^[ref]

The inference is a transferable, heat-stable intermediary between the hormone-sensitive particles and the soluble machinery. This does not identify the intermediary merely from heat resistance, establish its direct target, or show that every hormone uses the same mechanism. Rall and Sutherland's 1958 paper reports the factor's identification as cAMP in accompanying chemical work, and follows its production from ATP. It also reports an important limit: washed heart and skeletal-muscle particles produced detectable cAMP with epinephrine under their test conditions, whereas brain particles produced similar amounts with and without it. Tissue and preparation matter. ^[ref]

The useful and beautiful separation is between recognition and execution: an extracellular ligand can control intracellular enzymes through a chemically different intermediary. Making many second messenger molecules can support signal amplification, while different target proteins give the same mediator different consequences. A second messenger identifies a mode of relaying information; its presence alone does not specify the size or direction of the response. ^[ref]

Signaling adaptation is a decline of a response toward its earlier level while the initiating signal remains present. Specify which response is measured and its baseline: complete signaling adaptation means eventual return to that baseline; partial signaling adaptation leaves a lasting displacement. The continuing signal distinguishes signaling adaptation from simply switching off the stimulus. Signaling adaptation describes behavior, while signaling feedback describes a causal arrangement, so neither implies the other.

By reducing a persistent response to background ligand concentration, signaling adaptation can make a biological cell sensitive to changes rather than only to absolute levels. Resetting the response helps leave room for another change over a useful range of ligand concentrations. This is valuable in chemotaxis: swimming bacteria encounter changing chemical conditions, and their signal transduction influences whether a run continues or a tumble occurs. Signaling adaptation helps separate a change encountered during motion from a lasting background. This usefulness does not imply exact return or equal sensitivity at every possible concentration. ^{[ref] [ref]}

Here is a solvable incoherent feedforward loop toy that exhibits complete signaling adaptation without signaling feedback. The input $s(t)$ jumps from $0$ to $1$ at $t=0$ and remains $1$, a Heaviside step function. Let $x$ be a fast activating branch, $a$ a slower inhibitory branch, and $r=x-a$ a readout. The activities $s,x,a,r$ are dimensionless variables; physical time is in seconds. Choose time constants ${\tau }_x=1$ second and ${\tau }_a=5$ seconds, with initial conditions $x(0)=a(0)=0$:Both branches read $s$ directly. Neither branch depends on $r$, and $a$ does not change $x$: the subtraction only defines the readout. Thus the slow opposing influence is feedforward, with no closed feedback control loop.

For $t\ge 0$, solving the two ordinary differential equations givesWriting $t$ for the numerical time in seconds, these are $x=1-e^{-t}$, $a=1-e^{-t/5}$ and $r=e^{-t/5}-e^{-t}$. Initially $r=0$, then $x$ rises faster than $a$, producing a pulse. At long times $x$ and $a$ both approach $1$, so $r$ returns to $0$ despite sustained $s=1$. For this upward step $e^{-t/5}\ge e^{-t}$, hence $r(t)\ge 0$. The striking feature of this signaling adaptation toy is that both branches remain active while the readout becomes quiet: the continuing background and the response to its arrival are separable.

Find the pulse maximum by differentiating the exponential functions. With numerical time in seconds, the derivative isThe stationary condition is $e^{-4t/5}=1/5$, so the natural logarithm givesBefore this time the derivative is positive; afterwards it is negative. Together with $r(0)=0$ and ${\lim }_{t\to \infty }r(t)=0$, this proves that it is the unique pulse maximum. As another numerical check, at $t=10$ seconds $x\simeq 0.999955$, $a\simeq 0.864665$ and $r\simeq 0.135290$: the slow branch is still catching up.

The subtraction $r=x-a$ is a mathematical readout, not a claim that an actual chemical concentration equals this difference for arbitrary inputs. Nonnegativity was established only for the specified upward step; other input histories can give a negative signed readout. Complete signaling adaptation here also relies on equal eventual branch gains: changing the readout to $r=x-0.9a$ leaves $r_{\ast }=0.1$ for $s=1$. This toy illustrates cancellation and different time constants; it does not establish molecular implementation or robustness to arbitrary parameter changes. Ma and colleagues' 2009 study separately analyzed biochemical mathematical models with negative feedback and incoherent feedforward loops, identifying additional conditions for signaling adaptation in those models. ^[ref]

A historical connection to feedback control comes from Yi, Huang, Simon and Doyle's 2000 analysis of a bacterial chemotaxis model. They identified integral action in its regulation of receptor activity: accumulated deviations alter a slower adjustment, which in turn changes the measured activity. At a stationary state, an adjustment that integrates a nonzero error cannot remain constant, explaining how zero error can follow. Their conclusion depended on stated biochemical assumptions and stable behavior; it was not a claim that every biological cell uses that mechanism. A transient pulse alone, as the incoherent feedforward loop toy shows, cannot identify the underlying signaling feedback architecture. ^[ref]

Signal transduction converts a detected signal into a change inside a biological cell. For chemical signals, distinguish reception by a receptor, intracellular signal transduction, and the response: altered gene expression, enzyme activity or ion channel opening, for example. A cell-surface receptor can relay a ligand's presence across a cell membrane without the ligand entering the cytoplasm. Thus a hydrophilic signal need not cross the membrane to influence the interior. See Clark, Douglas and Choi, Biology 2e, 9.2: intracellular signal propagation.

For a computed example of possible signal amplification, suppose one activated receptor activates five relay proteins, and each relay activates twenty target proteins during a chosen interval. If the targets are distinct and available, $1\times 5\times 20=100$ targets are activated. Those assumed counts illustrate multiplication, not a measured pathway or a universal gain. Actual signal transduction can branch, saturate or inhibit activity. Changes in gene expression and changes in existing enzyme activity are different responses. See Clark, Douglas and Choi, Biology 2e, 9.3: cellular responses.

Signal amplification, signaling feedback and signaling adaptation are possible properties of signal transduction, rather than requirements of every cascade. Intracellular relays can use proteins or second messengers; different biological cells can interpret the same ligand differently because they contain different receptors and relay machinery. The useful and striking idea is that recognition and response are separable: an extracellular chemical message can control many internal tasks without itself performing those tasks. See General Principles of Cell Communication.

An original experimental route to this separation appears in T. W. Rall and Earl W. Sutherland's 1958 work on cAMP. They described a heat-stable factor formed from ATP in separated biological cell preparations; it affected enzyme activity in other preparations where the initiating chemical signals had no direct effect. This helped distinguish an initial signal from a molecule carrying its effect to another target. ^[ref]

biological cell 183, 1801–1812.e13 (2020). Publisher record. Primary article or institutional record.

Snowflake yeast are cluster-forming Saccharomyces cerevisiae with branching connections between mothers and attached daughter biological cells. They provide an experimental system for studying early transitions to simple multicellular organisms; see the protocol, observations and limits under multicellular organism.

A somatic mutation occurs in a body-cell lineage outside the germline mutation route. Its descendant biological cells can inherit it through DNA replication, even though it is not transmitted through gametes. Thus heritability within a cell lineage differs from inheritance between sexually reproducing organisms.

The space clamp problem is the failure to maintain the commanded membrane potential throughout a spatially extended biological cell. A soma voltage clamp can coexist with substantial voltage changes in distant dendrites or an axon. Reducing patch-clamp series resistance improves access at the recording site, but does not eliminate electrical separation within the neuron.

The spindle checkpoint can delay anaphase while kinetochore attachment is incomplete. This couples progression to the state of the spindle apparatus, rather than requiring every biological cell to separate its sister chromatids after a fixed waiting time. Alignment in a picture alone is not a demonstration that this control is satisfied.^[ref]

biological cell 109, 285–296 (2002). Publisher record. Primary article or institutional record.

A synapse is a signaling junction between a neuron and another biological cell. The sending side is presynaptic and the receiving side postsynaptic. At a chemical synapse, released neurotransmitter acts on a receptor in the receiving cell membrane. At an electrical synapse, gap junctions provide a direct path for electric current between cells. See 1.1 Elements of Neuronal Systems.

In a common sequence at a chemical synapse, an arriving action potential opens voltage-gated ion channels selective for calcium. Calcium entry triggers fusion of synaptic vesicles with the presynaptic cell membrane, releasing neurotransmitter into the synaptic cleft. Binding to a receptor changes postsynaptic electrical resistance and conductance, directly through an ion channel or through an intracellular signaling pathway. The resulting change in membrane potential is a synaptic potential. See Ion Channels and the Electrical Properties of Membranes.

A useful conductance approximation writes the inward-positive synaptic electric current aswhere $g_{\mathrm{syn}}\ge 0$ describes the activated electrical resistance and conductance, $V$ is the postsynaptic membrane potential, and $E_{\mathrm{syn}}$ is the reversal potential, the voltage at which this current vanishes. Opening these channels tends to pull $V$ toward $E_{\mathrm{syn}}$; it does not prescribe a current of fixed sign independently of $V$.

For a worked example, let $V=-65\mathrm{mV}$ and $g_{\mathrm{syn}}=1\mathrm{nS}$. A reversal potential of $0\mathrm{mV}$ gives $I_{\mathrm{syn}}=65\mathrm{pA}$, an inward electric current that raises membrane potential. A reversal potential of $-75\mathrm{mV}$ instead gives $-10\mathrm{pA}$, which lowers membrane potential. These are illustrative calculations, not measurements. A reversal potential of $-60\mathrm{mV}$ can raise $V$ from $-65\mathrm{mV}$ yet oppose reaching a threshold of $-50\mathrm{mV}$: a depolarizing input need not be excitatory.

An excitatory synapse favors a subsequent action potential, whereas an inhibitory synapse opposes it. The effect depends on the receptor, the permeating ions, their gradients and the reversal potential; a neurotransmitter does not have one fixed excitatory or inhibitory sign in every context. Even with $E_{\mathrm{syn}}=V$, an added conductance can reduce responses to other inputs by lowering effective electrical resistance, an effect called shunting inhibition. See Purves and colleagues: excitatory and inhibitory postsynaptic potentials. This dependence matters when translating a biological synapse into a signed weight or an imposed electric current in computational neuroscience.

A tumour-graft model using a genetically compatible host and donor, enabling investigation in an immune-competent setting. It generally uses mouse rather than human tumour biological cells.

cancer biological cell 17, 28–40 (2010). Publisher record. Primary article or institutional bibliographic record.

Tonicity describes how a surrounding chemical solution changes cellular volume through osmosis. It depends on which solutes remain effectively excluded on the timescale of interest, not simply on the amount of dissolved material. The following comparisons take a functional cell membrane, an initially unpressurized biological cell, and effectively excluded solutes as the reference; rising turgor pressure can oppose entry in a walled biological cell.

Operationally, hypotonic solutions cause sustained swelling, hypertonic solutions sustained shrinking, and isotonic solutions no sustained volume change in the specified passive comparison. State the reference biological cell, membrane properties and observation interval. A permeating solute can transiently change water potential while crossing; after its chemical potential equilibrates, its initial unequal concentrations cannot be treated as a permanently retained osmotic load. Thus equal osmolarities need not imply isotonic solutions. Conversely, a stationary walled biological cell may have unequal osmolarities balanced by turgor pressure.^[ref]

A genomic interval with preferential internal contact frequency under a specified analysis. Its boundaries and physical realization can vary between biological cells and conditions.

In 1961, Raymond Rappaport gently removed membrane and jelly from sand dollar ova with a constricted pipette. After fertilization, he used an inverted optical microscope and rack-and-pinion manipulator to press a needle-mounted glass sphere through an egg onto the chamber floor, producing a torus-shaped biological cell. Visible spindle apparatus positions and cleavage furrow progression were the readout.^[ref]

First cytokinesis opened one side into a horseshoe containing two cell nuclei. During the next division, daughters separated from its free ends; an additional cleavage furrow crossed between mitotic asters of different spindle apparatuses. Control eggs supplied the timing comparison. This region lacked intervening chromosomes or a previous nearby spindle apparatus. This supported mitotic aster-associated positioning, without identifying the signal or establishing universal necessity.^[ref]

The trypan blue exclusion test reads cell membrane integrity through trypan blue exclusion. Prolonged dye exposure can itself increase staining.^[ref]

An unstained biological cell is dye-excluding at the time of this assay. That observation alone does not demonstrate future division, sustained metabolism or long-term renewal of a cell line. Conversely, a smaller unstained count can reflect both staining and loss of biological cells from the recovered preparation. Report the denominator and recovery procedure alongside the fraction.

Trypsin is a serine protease: an enzyme that performs proteolysis by catalysing peptide bond hydrolysis. It preferentially cuts on the C-terminus side of lysine and arginine amino acid residues, leaving the selected amino acid residue in the preceding fragment.^[ref]

The bond being broken is the backbone amide linkage, rather than the lysine or arginine amino acid side chain. A formal connectivity equation for hydrolysis isHere $R^1$ and $R^2$ stand for the connected portions of the original peptide. Actual terminal protonation and electric charge depend on pH; the equation displays connectivity. Water supplies the elements needed to form the two new ends, while the enzyme is regenerated.

Selective cutting turns an unwieldy protein into shorter peptides, making peptide mapping useful for comparing proteins. In cell culture, trypsin also helps detach adherent biological cells: the HeLa culture viability experiment provides a concrete example of its use and subsequent stopping of proteolysis. The same enzyme can therefore serve both chemical analysis and preparation of a biological cell suspension.

The proportion of a sampled tumour preparation contributed by malignant biological cells. It affects interpretation of copy number, variant fractions and expression measurements.

Turgor pressure is the internal hydrostatic pressure above the external pressure in a biological cell. When water enters a walled biological cell by osmosis, expansion loads the cell wall. Rising pressure can oppose further net entry while the cell membrane retains its selective permeability. Mechanical support therefore does not require the cell wall to block water.

As an original mechanical check, idealize a small flat patch of cell wall of surface area $A$ under uniform turgor pressure $\Delta P=P_{\mathrm{in}}-P_{\mathrm{out}}$. Its outward force is $F=\Delta PA$. Doubling $A$ at fixed pressure doubles the load; equal internal and external pressures give zero net pressure load. This is a force balance, not a measured wall strength or a complete model of a curved, growing biological cell. It says nothing about which solutes cross the cell membrane.

A unicellular organism is an organism whose living body consists of one biological cell. That biological cell maintains itself, grows and participates in reproduction; it is not merely one specialized component of a larger body. Escherichia coli and ordinary free-living Saccharomyces cerevisiae illustrate prokaryotic and eukaryotic examples respectively. Cellular organization and the number of biological cells are separate questions. See Clark, Douglas and Choi, Biology 2e, 4.1: cells as units of organisms.

How can one biological cell do enough to sustain an organism? Its cell membrane retains useful material while membrane transport allows exchange; metabolism transforms nutrients and supplies usable energy; gene expression makes proteins needed to maintain and rebuild the machinery. These functions operate together inside the same boundary. In Saccharomyces cerevisiae, for example, glucose can support alcoholic fermentation and production of ATP, while the cell cycle and budding produce descendants. A single biological cell therefore combines chemical processing, regulated exchange and inherited organization. See Alberts et al., Molecular Biology of the Cell (2002): universal cellular machinery and the experimental accounts under Saccharomyces cerevisiae and yeast.

Being a unicellular organism does not mean isolated or independent of all other life. Unicellular organisms can interact and cooperate in groups. A biological colony describes association; clonal development describes descent; developmental integration describes coordination of the developing whole. Neither shared ancestry nor a visible clump alone establishes the latter. This distinction makes single-cell experiments easier to interpret: measuring the growth of one biological cell, the expansion of a group and the reproductive success of a reproducing cluster can answer different questions. See Queller and Strassmann, Beyond society: the evolution of organismality (2009): cooperation and the limits of simple organism criteria.